Hydrogel particles are attracting increasing interest as tunable microscale platforms that combine precise architectures with diverse chemical,biological,and physical functionalities.Among fabrication strategies,dropl...Hydrogel particles are attracting increasing interest as tunable microscale platforms that combine precise architectures with diverse chemical,biological,and physical functionalities.Among fabrication strategies,droplet microfluidics has emerged as a powerful technology for producing monodisperse hydrogel particles with controllable size,composition,and internal structure via precise regulation of microscale fluid dynamics.This review first outlines the fundamental principles of droplet microfluidics,including chip fabrication,channel design,droplet generation dynamics,energy input modes,and fluidic compositions,which collectively underpin reliable particle production.We then highlight compatible hydrogel precursor systems,gelation methods,and functionalization strategies for engineering tailored hydrogel particles.The versatility of such particles is further emphasized,supporting applications in cell culture,3D bioprinting,drug delivery,and diagnostics.Finally,we provide an outlook on future directions,including system parallelization,process automation,and artificial intelligence integration,anticipated to expand the scalability,functionality,and multidisciplinary impact of droplet-microfluidic hydrogel platforms.展开更多
Fluid seepage and associated heat transfer within the enhanced geothermal system(EGS)regulate the extraction of heat from hot,low-water-saturation thermal reservoirs,sometimes referred to as hot dry rock(HDR).To under...Fluid seepage and associated heat transfer within the enhanced geothermal system(EGS)regulate the extraction of heat from hot,low-water-saturation thermal reservoirs,sometimes referred to as hot dry rock(HDR).To understand these complex heat recovery processes,we simulated long-term heat extraction in a surrogate HDR using a true triaxial apparatus.A circulation test was first implemented to analyze the connectivity between different wells.Suitable injection and production wells were then selected for the laboratory heat extraction tests in granite,which lasted 14.5 h.Under variable injection rate conditions,we systematically analyzed the time-varying curves of temperature and flow rate in the production wells and pressure in the injection wells.Our findings showed that the advantage channel was dominant in the flow distribution when several paths existed in EGS.Changes in fracture conductivity are attributed to injection pressure.These included an increase in fracture width and activation of a localized closed area of fracture.These two mechanisms influenced the production temperature,and this is consistent with the field data monitored at the Fenton Hill and Hijiori projects.Fluid leak-off was an important factor affecting the production flow rate.For a fracture with low hydraulic conductivity,a lower injection rate could effectively prevent excessive fluid leak-off.In addition,by comparing injection rates and fluid recovery rates,production wells in different phases or injection modes had different fluid recovery rates even when the injection rates were the same.展开更多
Drinking behavior has been considered primarily driven by internal fluid imbalance,such as increased blood osmolality and the loss of body fluid.Increasing evidence indicates that animals can change their drinking beh...Drinking behavior has been considered primarily driven by internal fluid imbalance,such as increased blood osmolality and the loss of body fluid.Increasing evidence indicates that animals can change their drinking behavior even before this imbalance occurs.展开更多
Objective Fluid management in patients with septic shock and coexisting heart failure is a critical challenge,as it requires balancing resuscitation and the risk of fluid overload.This study investigated the potential...Objective Fluid management in patients with septic shock and coexisting heart failure is a critical challenge,as it requires balancing resuscitation and the risk of fluid overload.This study investigated the potential of the fluid accumulation index(FAI),which is measured serially during the initial 72 h of intensive care unit(ICU)care,to provide dynamic prognostic information to guide fluid management in this high-risk population.Methods Restricted cubic spline(RCS)analysis was used to explore the relationships between FAI levels at different time points within 72 h of ICU admission and ICU mortality.Associations were quantified via multivariate Cox proportional hazards models.Subgroup analyses and Kaplan-Meier survival curves were used to evaluate the consistency of associations and differences in survival between groups.Results A total of 643 patients with septic shock and concurrent heart failure were included,among whom 127 died.The RCS revealed a significant nonlinear relationship between FAI levels at various time points and ICU mortality.The optimal FAI cutoff values decreased over time:the cumulative values were 0.87 at 24 h,0.59 at 48 h,and 0.56 at 72 h.The cutoff values for specific intervals were 0.27 for the 24-48 h period(2-24 h-FAI)and 0.12 for the 48-72 h period(3-24 h-FAI).In the fully adjusted model,FAI values exceeding these time-specific thresholds were significantly associated with increased ICU mortality(24 h-FAI>0.87,HR=1.96,P=0.0251;2-24 h-FAI>0.27,HR=2.07,P=0.0051;48 h-FAI>0.59,HR=2.50,P=0.0005;3-24 h-FAI>0.12,HR=2.05,P=0.0091;72 h-FAI>0.56,HR=2.97,P<0.0001).These associations remained consistent across most predefined subgroups.Conclusion FAI serves as a dynamic and independent prognostic marker for critically ill patients with septic shock and heart failure during the first 72 h of ICU admission.A key finding was the time-dependent decline in the optimal FAI cutoff values(0.87 at 24 h vs.0.12 for the 3-24 h period).This temporal decline supports a shift in fluid management strategy from an initial liberal approach toward a conservative strategy after the first 24 h,which may mitigate mortality risk.展开更多
Microfluidic technology,as an advanced experimental technique at the microscale,demonstrates significant potential for application in oil and gas reservoir development.By constructing microscopic models with varying p...Microfluidic technology,as an advanced experimental technique at the microscale,demonstrates significant potential for application in oil and gas reservoir development.By constructing microscopic models with varying pore structures and surface chemical properties,this technology can simulate fluid displacement behaviors in different types of reservoirs.Through the modification of fluid properties and displacement conditions in experiments,it allows for the quantitative analysis of fluid distribution characteristics during displacement processes.This provides valuable technical tools for studying the microscopic mechanisms of CO2 flooding,chemical flooding,and other enhanced oil/gas recovery techniques.This paper reviews the unique advantages of microfluidic technology in revealing pore-scale transport behaviors and optimizing development strategies,while also analyzing the current challenges associated with its application.With advancements in materials science and manufacturing technologies,microfluidic technology is expected to play an increasingly prominent role in reservoir development,offering new technical support for the efficient development of oil and gas reservoirs.展开更多
Efficientsimulation of landslides and their interaction with piles is crucial for disaster reduction.Although the Savage-Hutter model is most prevalent in simulating landslides,it ignores viscosity when derived from f...Efficientsimulation of landslides and their interaction with piles is crucial for disaster reduction.Although the Savage-Hutter model is most prevalent in simulating landslides,it ignores viscosity when derived from fluidequations,which makes it deficientin dealing with landslides in different flowstates and their interactions with piles.Based on a detailed analysis of the Savage-Hutter model,this paper clarifiesthe model's limitations in simulating the interaction between landslides and solid piles.Then,a solid phase factor is introduced to characterize multiple flowstates to enhance the model's adaptability.Further,from the perspective of'flow-flow'coupling,the enhanced model describes the interaction between'flowstate'landslides and'solid state'piles while retaining the high computational efficiency of the depth-averaged method.Moreover,to deal with the cross-scale and large computations in the impact of landslides on piles,the discretization and solution of the model equations employ the finite volume method and localized mesh refinementtechnology to achieve both efficientcomputation and local high-precision simulation.Further combining the flumetest to calibrate the computational parameters,the research demonstrates through sets of cases the ability of the newly enhanced model to characterize the different'flowstates'of landslides and their interaction with'solid'piles,clarifying the baffleeffect of piles with different spatial layouts on landslide movement.Finally,by analyzing the Aidai landslide example in Sichuan,China,the study verifiedthe reliability of the improved"fluid-fluid"coupling model in addressing disaster and structural interaction issues at different scales,supporting disaster calculation and prevention technologies.展开更多
The purpose of the present investigation is to explore the implications of Cross fluid in a Darcy-Forchheimer porousmediumdue to the tri-hybrid nanofluid past a porous cylinder.Thermal radiation,heat generation,therma...The purpose of the present investigation is to explore the implications of Cross fluid in a Darcy-Forchheimer porousmediumdue to the tri-hybrid nanofluid past a porous cylinder.Thermal radiation,heat generation,thermal convection,solutal convective and chemical reaction have been encountered in this analysis.Entropy generation has been accounted for under the fluidic friction,heat rate analysis,and porosity analysis.Three different nanoparticles of multiwall carbon nanotube(MWCNT),aluminum oxide(Al2O3),and silver(Ag)are utilized to illustrate the tri-hybrid nanofluid flow with Ethlene Glycol(EG)as the base fluid.The governance model,consisting of linked inadequate differential conditions,is transformed into an ordinary configuration of nonlinear coupled differential conditions by acceptable adjustments.The obtained outcomes in combination with the bvp4c approach are then used to resolve the generated ODEs.For discussion purposes,the impacts of the physical limitations on temperature profile,velocity,and concentration have also been illustrated.Numerical results have been obtained for the diffusion rate,heat transfer rate,drag force,and other factors.While the Forchheimer parameter and the inclination angle reduce the fluid flow’s velocity,the Biot number of heat and mass transfer influences the fluid’s temperature.According to the findings,hybrid nanofluid is the most effective way to improve heat transmission and may also be utilized for cooling.Three different kinds of nanofluids were used in a comparative examination to clarify the study’s conclusions.Changes in viscosity and porousness caused the nanofluids’velocity to drop by 13.12%and 15.8%,respectively;however,trihybrid nanofluids with improved convection showed a 13.12%rise.展开更多
While injection-induced seismicity has been widely studied,its implications for CO2geological storage require reevaluation due to distinct fluid-rock interactions.This study develops a coupled hydromechanical model...While injection-induced seismicity has been widely studied,its implications for CO2geological storage require reevaluation due to distinct fluid-rock interactions.This study develops a coupled hydromechanical model incorporating rate-and-state friction laws to investigate fault reactivation mechanisms during early-stage CO2injection.The competing effects of pore pressure diffusion and fluid pressurization are systematically investigated,considering three key factors:permeability variations within fault damage zones,normal stress variation coefficients,and injection parameters.Numerical simulations reveal that slower CO2migration causes limited pressure perturbation(<0.3 MPa over 15 d)compared to single-phase fluid injection.Fluid pressurization enhances fault strength and delays reactivation,though this stabilizing effect diminishes in low-permeability damage zones.Highly permeable damage zones promote larger rupture areas despite strengthening from pressurization,as reduced effective stress accelerates failure.Paradoxically,while fluid pressurization increases fault strength,it simultaneously elevates seismic risk through amplified stress drops during slip events.Temporal analysis shows that fluid pressurization dominates initial fault response,while sustained pore pressure diffusion ultimately drives reactivation.Increased normal stress variation coefficients and injection rates accelerate localized rupture initiation but restrict propagation due to non-critically stressed states.This discrepancy demonstrates that regions with positive Coulomb failure stress changes do not correlate well with actual slip zones.These findings highlight the critical interplay between transient pressurization effects and progressive pressure diffusion during early CO2injection phases,providing crucial insights for seismic risk management in CO2storage projects.展开更多
Characterizing shale oil reservoirs encompassing pore space,mineralogy,and fluids is fundamental to effective exploration and development.Recent advances in experimental techniques have significantly improved both the...Characterizing shale oil reservoirs encompassing pore space,mineralogy,and fluids is fundamental to effective exploration and development.Recent advances in experimental techniques have significantly improved both the qualitative and quantitative analysis of these components;however,a comprehensive systematic review is lacking.High-resolution imaging technologies,such as Scanning Electron Microscopy(SEM),Field Emission Scanning Electron Microscopy(FE-SEM),and Focused Ion Beam Scanning Electron Microscopy(FIB-SEM),enable detailed visualization of pore structures.Gas adsorption and high-pressure mercury intrusion methods provide accurate pore-scale quantification.Moreover,techniques like X-ray Diffraction(XRD),X-ray Fluorescence Spectroscopy(XRF),and Electron Probe Microanalysis(EPMA)allow precise mineral identification and compositional analysis.Confocal Scanning Laser Microscopy(CSLM),Raman Spectroscopy,Nuclear Magnetic Resonance(NMR),and Rock Pyrolysis provide insights into fluid occurrence and content within shale reservoirs.Based on a comprehensive review of existing research,this study identifies several key future directions:(1)addressing the challenges of nanopore observation in reservoir space characterization while minimizing the impact of sample preparation on pore structure;(2)improving the accuracy of quantitative mineral analysis and developing advanced new technologies for the precise measurement of complex mineral compositions;(3)enhancing the fluid quantitative evaluation of fluids by more effectively restoring subsurface geological conditions.This paper presents a current synthesis and forward-looking perspective on experimental techniques supporting shale oil exploration,aiming to guide future research and technological innovation in this field.展开更多
Background:The analysis and prediction of pancreaticobiliary reflux(PBR)play a crucial role in planning surgical interventions for hepato-biliary-pancreatic diseases,considering the uncertain mechanism behind it.Howev...Background:The analysis and prediction of pancreaticobiliary reflux(PBR)play a crucial role in planning surgical interventions for hepato-biliary-pancreatic diseases,considering the uncertain mechanism behind it.However,current practices are limited by fragmented clinical observations,making it challenging to visualize the complex phenomenon in the pancreaticobiliary junction(PBJ)through imaging and radiography experiments.This study aimed to comprehensively describe the retrograde flow characteristics in various PBR scenarios and assess the factors leading to PBR using simulations based on idealized geometry and boundary conditions.Methods:By Cadence Pointwise,we developed a computational fluid dynamics(CFD)model using an idealized PBJ system.Standard parameters such as pressure and viscosity were applied,along with typical assumptions relevant to fluid dynamic modeling.Subsequently,based on the aforementioned basic idealized model,we analyzed 8 hypothetical PBR conditions,covering a range of high(shorter)and low(longer)values or different positions for each specific parameter,at a representative stage of a peristaltic propagation cycle of the Oddi's sphincter.Results:We modeled a two-dimensional PBJ with the propagation of a peristaltic wave.These findings demonstrated that the shortened septum,the extended ampulla,the increased wavelength and enhanced amplitude of the Oddi's sphincterial peristalsis,the widened diameter difference and the increased pressure difference between the common bile duct(CBD)and the main pancreatic duct(MPD),as well as the gravitational effect(position),strongly impacted PBR,while the viscosity of bile and pancreatic juice had a weaker influence.Additionally,an inequality incorporating these risk factors was developed for the evaluation of whether reflux occurs.Conclusions:Numerical simulation can be used to describe the reflux flow field,offering the possibility to visualize and analyze PBR,which has the potential to significantly revolutionize the understanding of PBR and improve clinical decision-making.Future work should focus on bridging the gap between CFD and clinical practice.展开更多
The three-dimensional resistivity model of the lithosphere and fluid content plays a significant role in analyzing the spatiotemporal distribution and dynamic reasons for the North China Craton(NCC)destruction.The con...The three-dimensional resistivity model of the lithosphere and fluid content plays a significant role in analyzing the spatiotemporal distribution and dynamic reasons for the North China Craton(NCC)destruction.The conductivity is related to temperature and melt fraction using laboratory experiments.The Hashin-Shtrikman(HS)bounds are used to constrain the conductivity range of rocks in the solid and solid-melt systems.The authors established the lithospheric conductivity-temperature relationship by combining the mineral composition obtained from the analysis of xenoliths,the steady-state heat conduction equation,water,and carbon dioxide.To discuss the destruction of the NCC,the three-dimensional resistivity structure model obtained from the magnetotelluric sounding(MT)array inversion of the NCC is compared with the model calculated using the HS bounds.The research results show that the higher the volatile water and carbon dioxide content in the fluid,the lower the mantle solidus.Based on the melt fractions of the Ordos Block,Trans-North China Orogen,and Bohai Bay Basin,the speculated lithosphere-asthenosphere boundary(LAB)exhibits the characteristics of deep in the west and shallow in the east.The partial melting of the Bohai Bay Basin began at a shallower depth than other places,with a more significant difference in fluid content in the depth.展开更多
In this study,a novel offset support design for enhancing the stability of fluid-conveying pipes is proposed.Specifically,by offsetting the simple support,the nonlinear stiffness in both tension and bending of the pip...In this study,a novel offset support design for enhancing the stability of fluid-conveying pipes is proposed.Specifically,by offsetting the simple support,the nonlinear stiffness in both tension and bending of the pipes is effectively increased.On the basis of the absolute nodal coordinate formulation(ANCF),a theoretical model for a pipe with an offset support under various boundary conditions is established and validated through experiments.A systematic investigation is subsequently conducted to explore the effects of the offset position and amplitude on the static deformation,stability,and nonlinear dynamic behaviors.The results indicate that the proposed offset support can significantly increase the stability of the fluid-conveying pipe and reduce its deformation amplitude.In most cases,a larger offset amplitude generally corresponds to a higher critical fluid velocity and a smaller deformation amplitude.With respect to the support position,placing an offset support at one-quarter of the span from the supported end can substantially improve the stability of simply supported pipes.With respect to cantilevered pipes,adding an offset support at the free end can considerably increase the critical flow velocity of the pipe.When the flow velocity is in the subcritical region,a pipe with an offset support maintains in-plane static deformation with a small amplitude.In the supercritical flow velocity region,compared with a pipe without an offset support,a pipe with an offset support has a smaller nonplanar configuration.This study provides new insight into enhancing the stability of fluid-conveying pipes via an offset support design,which features simple implementation and considerable application potential in engineering practice.展开更多
As a multidisciplinary phenomenon,panel aeroelasticity in shock-dominated flow is featured by two primary interactions:Fluid-Structure Interactions(FSIs)and Shock-Boundary Layer Interactions(SBLIs).The former raises s...As a multidisciplinary phenomenon,panel aeroelasticity in shock-dominated flow is featured by two primary interactions:Fluid-Structure Interactions(FSIs)and Shock-Boundary Layer Interactions(SBLIs).The former raises structural concerns,and the latter is of aerodynamic interest.Thus,panel aeroelasticity in shock-dominated flow represents a vital topic for the development and optimization of supersonic vehicles and propulsion systems.This review systematically summarizes recent advances in the methodologies applied to capture structural and fluid dynamics,including theoretical models,numerical simulations,and wind tunnel experiments.The application of data-driven modal decomposition,an advanced technique to extract physically crucial features,on the topic is introduced.From the perspective of FSIs,the distinctive aeroelastic behaviors in shock-dominated flow,including hysteresis phenomena and nonlinear responses,are highlighted.From the perspective of SBLIs,the modifications in their spatial and temporal characteristics imposed by the aeroelastic responses are emphasized.Motivated by the interaction between the shock waves and structural response,different strategies have been proposed to implement aeroelastic suppression and shock control,which have the potential to enhance structural safety and aerodynamic performance in the next generation of high-speed flight vehicles.展开更多
This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid(SBHNF)thin film flow over a stretched inclined sheet using an artificial neural network(ANN)-based on N...This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid(SBHNF)thin film flow over a stretched inclined sheet using an artificial neural network(ANN)-based on NARX(Multilayer Nonlinear Autoregressive Networks with Exogenous Inputs)multiple-layer backpropagation simulation with the Levenberg-Marquardt algorithm(LMA).AA7075 and AA7072 nanoparticles suspended in sodium alginate(SA)base fluid make up the hybrid nanofluid(HNF),which was selected due to its improved heat transfer properties and superior thermal conductivity.The model's practical applicability is enhanced by melting heat,nonlinear thermal radiation,boundary slip,and Newtonian heating effects,which are considered for surface heat flow.A dataset spanning three cases and seven scenarios of SBHNF is generated by solving the simplified governing equations using the built-in MATLAB bvp4c numerical methods.The dataset comprises three divisions:80%allocated for training,10%for validation,and 10%for testing.The proposed system is employed for the analysis of stream and thermal transmission,with conclusions validated by several approaches,including error histograms,regression plots,time series analysis,mean square error(MSE)of the loss function,autocorrelation,and cross-correlation.Findings from the AI-based LMA validate the suggested method for solving the SBHNF accurately.Joule heating,variable thermal conductivity,and other external sources elevate fluid temperature,whereas radiation heating markedly amplifies surface heat energy by accumulating,hence improving heat transfer.The opposing forces produced by magnetic fields,Darcy's law,and electroosmosis reduce fluid velocity,which is effective for wellbore stability and hydraulic efficiency.The MSE and coefficient of determination(R2)are used to assess the correctness and robustness of the suggested computational framework.The trained network indicated outstanding predictive accuracy with R²=O.999 for all scenarios.The error histogram for the proposed model is 10-6 to 10-7.The seven scenarios of SBHNF fall within the range of 10-8 to 10-13 for the attained high MSE(loss function)convergence levels.equations,including changing thermal conductivity,nonlinear radiation,and the Sutterby fluid's shearthinning features.The NARX network converges quickly and reliably,making it a strong surrogate model tool with the Levenberg-Marquardt Algorithm(LMA).The LMA was integrated with MLP to efficiently address the problem's complexity.This model,which has one input layer,two hidden layers containing 10,10 neurons,and one output layer,is set up to support sequential input.The changeable weights in the hidden layers are used to identify patterns and connections in the data.Furthermore,the sigmoid nonlinear activation function is used to allow the model to learn complex associations.Gradient descent optimization is used in training when weights are iteratively changed to minimize prediction error.With each iteration,backpropagation improves accuracy by modifying these weights in response to variations between actual and expected outputs.Several key elements are adjusted to improve training efficiency,including hyperparameter tuning,convergence criteria,and learning rate adaptation.The output layer iteratively minimizes errors before producing predictions.The method starts with the creation of a dataset using SBHNF settings and the identification of the key variables.The dataset is created by solving the ODE system in MATLAB using the bvp4c solver(relative tolerance 10-6,absolute tolerance 10-8).Each parameter combination in Table 5 is discretized into 101 evenly spaced points in the spatial domainη[0,β=1](whereβis the film thickness).The dataset contains 2l2l samples from all seven scenarios and three cases(2l parameter combinations,each giving 101 geographical points).Randomly shuffling the dataset divides it into three mutually exclusive subsets:80%for training(1697 samples),10%for validation(212 samples),and 10%for testing.The ANN is trained with the training dataset,and the gradient of the MSE loss function is calculated,and the training parameters are updated by gradient descent optimization.To lower the error,the weights are changed,and the procedure is repeated until convergence.The computational setup included MATLAB R2025b(Deep Learning Toolbox version 14.5)operating on an Intel Core i7-10750H CPU@2.60 GHz with 32 GB RAM and a 64-bit operating system;the average training duration per model varied from 1 to 2 s.The precision and efficacy of the proposed system are dictated by the assessment,instruction,and validation procedures integrated into the neural network's design,as shown in Fig.2.Especially in addressing the SNFFM,the LMA method shows notable variations from conventional methods.Along with efficient mapping between input and output variables,this global modeling technique helps create comprehensive diagnostic graphs.Seven scenarios(Table 5)delineated by the fluid system,with fluctuations in the Helmholtz-Smoluchowski velocity(U hs),porosity parameter(Kp),magnetic parameter(M),temperature ratio parameter(θw),fluid parameter(βs),unsteady parameter(S),and Schmidt number(Sc)for each case.The other parameters are fixed for all seven scenarios.展开更多
This study presents a numerical investigation of thermosolutal convection within a baffled porous cavity filled with a radiative Casson-based ternary aqueous nanofluid.The ternary hybrid nanofluid is formulated by dis...This study presents a numerical investigation of thermosolutal convection within a baffled porous cavity filled with a radiative Casson-based ternary aqueous nanofluid.The ternary hybrid nanofluid is formulated by dispersing three distinct nanoparticles into a water-based solution,aiming to enhance the thermal and solute transport characteristics.The cavity includes internal baffles that modulate convective flow and facilitate improved energy transport.The governing equations for momentum,energy,species concentration,and entropy generation are discretized and solved using a higher-order compact(HOC)finite difference scheme,ensuring superior numerical precision.The novelty of the present study lies in the irreversibility analysis of thermosolutal convection of a Casson ternary nanofluid in a porous wavy enclosure with a T-shaped baffle,highlighting the combined effects of nonNewtonian behavior,ternary nanoparticle interaction,and geometric modification on entropy generation and transport performance.The impacts of key physical parameters on solutal and thermal distributions,entropy generation,and the Bejan number are systematically examined.The study reveals that the combined influence of the non-Newtonian nature of the Casson fluid and thermal radiation significantly alters flow structure and transport rates.Enhanced heat transfer is observed with increasing radiation parameters,while solutal transport remains relatively less sensitive.The presence of internal baffles promotes localized vortices and thermal layering,contributing to complex thermo-solutal interactions.The outcomes also show that the inclusion of a T-shaped baffle within the container enhances overall convective transport characteristics and system performance.The findings provide valuable insights into the design of advanced energy systems involving non-Newtonian nanofluids in porous enclosures under radiative and geometric constraints.展开更多
Two types of ultra-high-temperature resistant water-based drilling fluid additives were designed and developed:an ultra-high-temperature resistant salt-tolerant polymer fluid loss reducer,and an ultra-high-temperature...Two types of ultra-high-temperature resistant water-based drilling fluid additives were designed and developed:an ultra-high-temperature resistant salt-tolerant polymer fluid loss reducer,and an ultra-high-temperature resistant micro-nano plugging agent.An ultra-high-temperature resistant water-based drilling fluid system meeting the requirements of ultra-deep well drilling was established.Laboratory test and field application were employed for performance evaluation.The ultra-high-temperature and high-salt resistant polymer fluid loss reducer exhibits a mesh-like membrane structure with numerous cross-linking points,and its high-temperature and high-pressure(HTHP)loss was 28.2 m L after aging at 220℃under saturated salt conditions.The ultra-high-temperature resistant micro-nano plugging agent adaptively filled mud cake pores/fractures through deformation,thus reducing the fluid loss.At elevated temperatures,it transitioned to a viscoelastic state to effectively cement the rock on wellbore wall and enhanced wall stability.The ultra-high-temperature resistant water-based drilling fluid system with a density of 1.6 g/cm3exhibits excellent rheological properties at high temperature and high pressure.Its HTHP fluid loss at 220℃was only 9.6 m L.It maintains a stable performance under high-temperature and high-salt conditions,with a sedimentation factor below 0.52 after holding at high temperature for 7 d,and generates no H2S gas after aging,demonstrating good lubricity and safety.This drilling fluid system has been successfully applied in the 10000-meter ultra-deep well of China,Shenditake 1,in Tarim Oilfield,ensuring the well's successful drilling to a depth of 10910 m.展开更多
The global pursuit of carbon neutrality demands innovative strategies to decarbonize energy-intensive sectors,among which energy-saving optimization represents one of the most critical measures.As one of the largest e...The global pursuit of carbon neutrality demands innovative strategies to decarbonize energy-intensive sectors,among which energy-saving optimization represents one of the most critical measures.As one of the largest energy consumers in refineries,the Fluid Catalytic Cracking Unit(FCCU)offers significant potential for energy savings and carbon emission reduction.This study presents a comprehensive simulation-optimization framework for enhancing the performance of FCCU,integrating process simulation,thermodynamic analysis,and evolutionary optimization under industrial operational constraints.Genetic Algorithm(GA)and Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ)were employed for multi-objective optimization of energy efficiency,product yield,and economic revenue.A TOPSIS decision-making method was incorporated to identify the most favorable trade-off solutions from the Pareto front.Dual-objective optimization achieved balanced trade-offs between conflicting objectives.Specifically,the energy-yield optimization reduced energy consumption by 3.28%and increased product yield by 1.95%,resulting in a 9.63%decrease in energy use compared to the singleobjective yield maximization case.Similarly,the energy-revenue optimization reduced energy consumption by 1.17%and increased revenue by 0.25%,resulting in a 5.42%decrease in energy use compared to the single-objective revenue maximization case.Economic and environmental assessments confirm system-level decarbonization,with pollutant(CO2/SO2/NOx)emissions reduced by 2.30%(energy-yield)and 3.34%(energy-revenue),respectively.These results demonstrate the effectiveness of the proposed multi-objective framework and its potential as a transferable tool for performance enhancement and decarbonized,sustainable operation across FCCUs and broader refining systems.展开更多
A novel self-priming jet impeller combined with upward and downward impact jet pipes was investigated to enhance the shear-thinning characteristics and the viscosity uniformity of non-Newtonian fluids within the stirr...A novel self-priming jet impeller combined with upward and downward impact jet pipes was investigated to enhance the shear-thinning characteristics and the viscosity uniformity of non-Newtonian fluids within the stirring tank.And the dislocation angle a was defined as the angle between the upward and downward impact jets.The effects of this angle on mixing efficiency,power consumption,and flow field characteristics were analyzed through numerical simulation and experimentation.Results indicated that the radial and axial mixing performance was improved due to the interaction between the self-priming flow,the up-impact jet,and the down-impact jet.This interaction prevented the deposition of high-viscosity fluid at the bottom and near the tank wall.When α≤50°,the jet development space was sufficient,accelerating fluid shear-thinning in the jet shear layer.At α=50°and 70°,flow circulation and field synergy were enhanced,effectively improving overall viscosity uniformity within the tank while maintaining low power consumption.The jet impacted at the tank wall for α=90°,and the axial flow was weakened,and both shear-thinning characteristics and viscosity uniformity were decreased.The result was validated through optimization design using non-dominated sorting genetic algorithm Ⅱ.The study holds significant implications for the promotion and application of the self-priming jet impeller and exploration of jet-mechanical coupling theory.展开更多
Liquid oils in deeply buried reservoirs are usually subjected to thermal cracking by the prolonged time-temperature effect during burial.However,large quantity liquid oils are being produced from the Cambrian reservoi...Liquid oils in deeply buried reservoirs are usually subjected to thermal cracking by the prolonged time-temperature effect during burial.However,large quantity liquid oils are being produced from the Cambrian reservoirs in the Tarim Basin at a depth of over 5500 m.Previous studies suggest that a late oil charging event should have been responsible for the preservation of liquid oil,but the evidence from fluid inclusions is questionable.In this study,carbonate U–Pb dating following a systematic fluid inclusion analysis is applied to constrain the timing of oil charging in the Cambrian reservoir in the Kalayuergun structural belt in the western part of the Tabei Uplift.The results show that the diagenetic minerals of the Cambrian Xiaqiulitage Formation include the dolomite matrix,anhedral dolomite,euhedral dolomite and calcite.Secondary oil inclusions were detected as trails in the dolomite matrix while primary oil inclusions are distributed along growth zones of calcite.Both of these inclusions are featured by multiple fluorescence colors in single oil inclusion assemblage,which are interpreted to be the results of trapping fractionation or post-entrapment alteration.The homogenization temperatures of oil inclusions with different fluorescence colors in the same assemblage are in the same range of their coeval aqueous inclusions,denoting oil inclusions are formed in a single trapping event and the oil should have been gas saturated.Projecting the lowest homogenization temperature of the aqueous inclusion onto the burial history,yielding an age of around 450 Ma which is very close to the U–Pb age of calcite(440.5±9.6 Ma),corresponding to the first oil generation peak of the Yuertusi Formation during the Late Ordovician to Early Silurian.Considering this,the early generated oils migrated upwards to the shallower reservoir through fault planes together with the low heating rate of the Tarim Basin prevented the oil in place from thermal cracking.This study demonstrates the effectiveness of integrating carbonate U–Pb dating and fluid inclusion methods to investigate deeply buried reservoirs in the Tarim Basin,which can be applied to similar reservoirs in the world.展开更多
Intracratonic strike-slip faults in central-we stern China's Tarim Basin serve as critical conduits for hydrocarbon migration and accumulation.This study integrates geochemical characterization,in-situ calcite U-P...Intracratonic strike-slip faults in central-we stern China's Tarim Basin serve as critical conduits for hydrocarbon migration and accumulation.This study integrates geochemical characterization,in-situ calcite U-Pb geochronology,and fluid inclusion microthermometry to resolve the long-debated temporal relationships between tectonic reactivation and hydrocarbon charging processes in the ultra-deep Shunbei fault system.Through systematic analysis of reservoir oils and fracture-filling calcites from the Shunbei Nos.4,6,and 8 fault zones,we establish a novel chronological framework combining differential hydrocarbon accumulation with fault activation phases.Building upon previous structural analyses,our U-Pb geochronology resolves four distinct tectonic phases for the No.4 fault:Middle-Late Caledonian(473±12 Ma and 443±17 Ma),Late Caledonian-Early Hercynian,Middle-Late Hercynian,and Indosinian-Yanshanian,while the No.8 fault exhibits four episodes spanning Middle-Late Caledonian(453.5±2.5 Ma,413±29 Ma)to Indosinian-Yanshanian(196±57 Ma).Hydrocarbon charging occurred through four discrete phases,with No.8 fault demonstrating earlier petroleum emplacement(principal oil:294±29 Ma;principal gas:196±57 Ma)relative to No.4 fault(principal oil:282-205 Ma;principal gas:196-11 Ma).MDR-MPI-1 correlations reveal hydrothermal influence on select oils,causing maturity overestimation.Fluorescence spectra(λmax<445 nm)and geochemical indices(vitrinite reflectance equivalent:1.2%-1.6%)confirm high thermal maturity.Stable carbon isotopes(δ13C1<δ13C2)confirm normal genetic oil-type gas with low thermal maturity.Diamondoid indices and gas compositional trends(ln(C2/C3)vs.δ13C2-δ13C3)demonstrate predominant kerogenderived methane with subordinate oil-cracked contributions.Enhanced vertical connectivity and elevated source maturity in No.8 fault account for its preferential hydrocarbon enrichment.This work establishes a genetic linkage between multi-phase fault activation and differential hydrocarbon accumulation,providing an innovative methodology for evaluating ultra-deep reservoirs in cratonic basins through coupled geochronological-hydrocarbon fluid inclusion analysis.展开更多
基金National Natural Science Foundation of China,Grant/Award Numbers:52025132,21621091,22021001,22121001111 Project,Grant/Award Numbers:B17027,B16029+2 种基金Natural Science Foundation of Fujian Province of China,Grant/Award Number:2022J02059Science and Technology Projects of Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM),Grant/Award Number:RD2022070601New Cornerstone Science Foundation through the XPLORER PRIZE。
摘要Hydrogel particles are attracting increasing interest as tunable microscale platforms that combine precise architectures with diverse chemical,biological,and physical functionalities.Among fabrication strategies,droplet microfluidics has emerged as a powerful technology for producing monodisperse hydrogel particles with controllable size,composition,and internal structure via precise regulation of microscale fluid dynamics.This review first outlines the fundamental principles of droplet microfluidics,including chip fabrication,channel design,droplet generation dynamics,energy input modes,and fluidic compositions,which collectively underpin reliable particle production.We then highlight compatible hydrogel precursor systems,gelation methods,and functionalization strategies for engineering tailored hydrogel particles.The versatility of such particles is further emphasized,supporting applications in cell culture,3D bioprinting,drug delivery,and diagnostics.Finally,we provide an outlook on future directions,including system parallelization,process automation,and artificial intelligence integration,anticipated to expand the scalability,functionality,and multidisciplinary impact of droplet-microfluidic hydrogel platforms.
基金supported by the National Natural Science Foundation of China(Grant No.52192622)the Natural Science Foundation of Sichuan Province,China(Grant No.2025ZNSFSC0371)the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Independent Research Project(Grant No.SKLGP2022Z018).
摘要Fluid seepage and associated heat transfer within the enhanced geothermal system(EGS)regulate the extraction of heat from hot,low-water-saturation thermal reservoirs,sometimes referred to as hot dry rock(HDR).To understand these complex heat recovery processes,we simulated long-term heat extraction in a surrogate HDR using a true triaxial apparatus.A circulation test was first implemented to analyze the connectivity between different wells.Suitable injection and production wells were then selected for the laboratory heat extraction tests in granite,which lasted 14.5 h.Under variable injection rate conditions,we systematically analyzed the time-varying curves of temperature and flow rate in the production wells and pressure in the injection wells.Our findings showed that the advantage channel was dominant in the flow distribution when several paths existed in EGS.Changes in fracture conductivity are attributed to injection pressure.These included an increase in fracture width and activation of a localized closed area of fracture.These two mechanisms influenced the production temperature,and this is consistent with the field data monitored at the Fenton Hill and Hijiori projects.Fluid leak-off was an important factor affecting the production flow rate.For a fracture with low hydraulic conductivity,a lower injection rate could effectively prevent excessive fluid leak-off.In addition,by comparing injection rates and fluid recovery rates,production wells in different phases or injection modes had different fluid recovery rates even when the injection rates were the same.
摘要Drinking behavior has been considered primarily driven by internal fluid imbalance,such as increased blood osmolality and the loss of body fluid.Increasing evidence indicates that animals can change their drinking behavior even before this imbalance occurs.
基金supported by a grant from the Natural Science Foundation of Hubei Province,China(No.2023AFD074).
摘要Objective Fluid management in patients with septic shock and coexisting heart failure is a critical challenge,as it requires balancing resuscitation and the risk of fluid overload.This study investigated the potential of the fluid accumulation index(FAI),which is measured serially during the initial 72 h of intensive care unit(ICU)care,to provide dynamic prognostic information to guide fluid management in this high-risk population.Methods Restricted cubic spline(RCS)analysis was used to explore the relationships between FAI levels at different time points within 72 h of ICU admission and ICU mortality.Associations were quantified via multivariate Cox proportional hazards models.Subgroup analyses and Kaplan-Meier survival curves were used to evaluate the consistency of associations and differences in survival between groups.Results A total of 643 patients with septic shock and concurrent heart failure were included,among whom 127 died.The RCS revealed a significant nonlinear relationship between FAI levels at various time points and ICU mortality.The optimal FAI cutoff values decreased over time:the cumulative values were 0.87 at 24 h,0.59 at 48 h,and 0.56 at 72 h.The cutoff values for specific intervals were 0.27 for the 24-48 h period(2-24 h-FAI)and 0.12 for the 48-72 h period(3-24 h-FAI).In the fully adjusted model,FAI values exceeding these time-specific thresholds were significantly associated with increased ICU mortality(24 h-FAI>0.87,HR=1.96,P=0.0251;2-24 h-FAI>0.27,HR=2.07,P=0.0051;48 h-FAI>0.59,HR=2.50,P=0.0005;3-24 h-FAI>0.12,HR=2.05,P=0.0091;72 h-FAI>0.56,HR=2.97,P<0.0001).These associations remained consistent across most predefined subgroups.Conclusion FAI serves as a dynamic and independent prognostic marker for critically ill patients with septic shock and heart failure during the first 72 h of ICU admission.A key finding was the time-dependent decline in the optimal FAI cutoff values(0.87 at 24 h vs.0.12 for the 3-24 h period).This temporal decline supports a shift in fluid management strategy from an initial liberal approach toward a conservative strategy after the first 24 h,which may mitigate mortality risk.
基金funded by the Key Science Foundation of Laboratory of Marine Oil&Gas Reservoirs Production,Sinopec(33550000-22-ZC0613-0332).
摘要Microfluidic technology,as an advanced experimental technique at the microscale,demonstrates significant potential for application in oil and gas reservoir development.By constructing microscopic models with varying pore structures and surface chemical properties,this technology can simulate fluid displacement behaviors in different types of reservoirs.Through the modification of fluid properties and displacement conditions in experiments,it allows for the quantitative analysis of fluid distribution characteristics during displacement processes.This provides valuable technical tools for studying the microscopic mechanisms of CO2 flooding,chemical flooding,and other enhanced oil/gas recovery techniques.This paper reviews the unique advantages of microfluidic technology in revealing pore-scale transport behaviors and optimizing development strategies,while also analyzing the current challenges associated with its application.With advancements in materials science and manufacturing technologies,microfluidic technology is expected to play an increasingly prominent role in reservoir development,offering new technical support for the efficient development of oil and gas reservoirs.
基金financially supported by the Sichuan Science and Technology Program(Grant No.2024ZYD0035)the National Natural Science Foundation of China(Grant No.42177171).
摘要Efficientsimulation of landslides and their interaction with piles is crucial for disaster reduction.Although the Savage-Hutter model is most prevalent in simulating landslides,it ignores viscosity when derived from fluidequations,which makes it deficientin dealing with landslides in different flowstates and their interactions with piles.Based on a detailed analysis of the Savage-Hutter model,this paper clarifiesthe model's limitations in simulating the interaction between landslides and solid piles.Then,a solid phase factor is introduced to characterize multiple flowstates to enhance the model's adaptability.Further,from the perspective of'flow-flow'coupling,the enhanced model describes the interaction between'flowstate'landslides and'solid state'piles while retaining the high computational efficiency of the depth-averaged method.Moreover,to deal with the cross-scale and large computations in the impact of landslides on piles,the discretization and solution of the model equations employ the finite volume method and localized mesh refinementtechnology to achieve both efficientcomputation and local high-precision simulation.Further combining the flumetest to calibrate the computational parameters,the research demonstrates through sets of cases the ability of the newly enhanced model to characterize the different'flowstates'of landslides and their interaction with'solid'piles,clarifying the baffleeffect of piles with different spatial layouts on landslide movement.Finally,by analyzing the Aidai landslide example in Sichuan,China,the study verifiedthe reliability of the improved"fluid-fluid"coupling model in addressing disaster and structural interaction issues at different scales,supporting disaster calculation and prevention technologies.
基金the research support through grants ANTARABANGSA(IRMG)-TEL-U/2025/FTKM/A00086.
摘要The purpose of the present investigation is to explore the implications of Cross fluid in a Darcy-Forchheimer porousmediumdue to the tri-hybrid nanofluid past a porous cylinder.Thermal radiation,heat generation,thermal convection,solutal convective and chemical reaction have been encountered in this analysis.Entropy generation has been accounted for under the fluidic friction,heat rate analysis,and porosity analysis.Three different nanoparticles of multiwall carbon nanotube(MWCNT),aluminum oxide(Al2O3),and silver(Ag)are utilized to illustrate the tri-hybrid nanofluid flow with Ethlene Glycol(EG)as the base fluid.The governance model,consisting of linked inadequate differential conditions,is transformed into an ordinary configuration of nonlinear coupled differential conditions by acceptable adjustments.The obtained outcomes in combination with the bvp4c approach are then used to resolve the generated ODEs.For discussion purposes,the impacts of the physical limitations on temperature profile,velocity,and concentration have also been illustrated.Numerical results have been obtained for the diffusion rate,heat transfer rate,drag force,and other factors.While the Forchheimer parameter and the inclination angle reduce the fluid flow’s velocity,the Biot number of heat and mass transfer influences the fluid’s temperature.According to the findings,hybrid nanofluid is the most effective way to improve heat transmission and may also be utilized for cooling.Three different kinds of nanofluids were used in a comparative examination to clarify the study’s conclusions.Changes in viscosity and porousness caused the nanofluids’velocity to drop by 13.12%and 15.8%,respectively;however,trihybrid nanofluids with improved convection showed a 13.12%rise.
基金funded by Joint Funds of the National Natural Science Foundation of China(Grant No.U23A20671)the Major Project of Inner Mongolia Science and Technology(Grant No.2021ZD0034)the Creative Groups of Natural Science Foundation of Hubei Province,China(Grant No.2021CFA030).
摘要While injection-induced seismicity has been widely studied,its implications for CO2geological storage require reevaluation due to distinct fluid-rock interactions.This study develops a coupled hydromechanical model incorporating rate-and-state friction laws to investigate fault reactivation mechanisms during early-stage CO2injection.The competing effects of pore pressure diffusion and fluid pressurization are systematically investigated,considering three key factors:permeability variations within fault damage zones,normal stress variation coefficients,and injection parameters.Numerical simulations reveal that slower CO2migration causes limited pressure perturbation(<0.3 MPa over 15 d)compared to single-phase fluid injection.Fluid pressurization enhances fault strength and delays reactivation,though this stabilizing effect diminishes in low-permeability damage zones.Highly permeable damage zones promote larger rupture areas despite strengthening from pressurization,as reduced effective stress accelerates failure.Paradoxically,while fluid pressurization increases fault strength,it simultaneously elevates seismic risk through amplified stress drops during slip events.Temporal analysis shows that fluid pressurization dominates initial fault response,while sustained pore pressure diffusion ultimately drives reactivation.Increased normal stress variation coefficients and injection rates accelerate localized rupture initiation but restrict propagation due to non-critically stressed states.This discrepancy demonstrates that regions with positive Coulomb failure stress changes do not correlate well with actual slip zones.These findings highlight the critical interplay between transient pressurization effects and progressive pressure diffusion during early CO2injection phases,providing crucial insights for seismic risk management in CO2storage projects.
基金supported by the National Natural Science Foundation of China(Grant No.42272142 and 42230812).
摘要Characterizing shale oil reservoirs encompassing pore space,mineralogy,and fluids is fundamental to effective exploration and development.Recent advances in experimental techniques have significantly improved both the qualitative and quantitative analysis of these components;however,a comprehensive systematic review is lacking.High-resolution imaging technologies,such as Scanning Electron Microscopy(SEM),Field Emission Scanning Electron Microscopy(FE-SEM),and Focused Ion Beam Scanning Electron Microscopy(FIB-SEM),enable detailed visualization of pore structures.Gas adsorption and high-pressure mercury intrusion methods provide accurate pore-scale quantification.Moreover,techniques like X-ray Diffraction(XRD),X-ray Fluorescence Spectroscopy(XRF),and Electron Probe Microanalysis(EPMA)allow precise mineral identification and compositional analysis.Confocal Scanning Laser Microscopy(CSLM),Raman Spectroscopy,Nuclear Magnetic Resonance(NMR),and Rock Pyrolysis provide insights into fluid occurrence and content within shale reservoirs.Based on a comprehensive review of existing research,this study identifies several key future directions:(1)addressing the challenges of nanopore observation in reservoir space characterization while minimizing the impact of sample preparation on pore structure;(2)improving the accuracy of quantitative mineral analysis and developing advanced new technologies for the precise measurement of complex mineral compositions;(3)enhancing the fluid quantitative evaluation of fluids by more effectively restoring subsurface geological conditions.This paper presents a current synthesis and forward-looking perspective on experimental techniques supporting shale oil exploration,aiming to guide future research and technological innovation in this field.
基金supported by grants from the Key Specialty Construction Project of Shanghai Pudong New Area Health Commission(PWZzk2022-17)the Featured Clinical Discipline Project of Shanghai Pudong District(PWYts2021-06)+2 种基金the Fund from Shanghai East Hospital(DFLC2022019,DFRC2018014 and 2024-DFZD-005DS)Hutchison Research Fund(2025HH-015)the Science and Technology Development Project of Medical and Health of Shandong Province(202010000131 and 202104070065)。
摘要Background:The analysis and prediction of pancreaticobiliary reflux(PBR)play a crucial role in planning surgical interventions for hepato-biliary-pancreatic diseases,considering the uncertain mechanism behind it.However,current practices are limited by fragmented clinical observations,making it challenging to visualize the complex phenomenon in the pancreaticobiliary junction(PBJ)through imaging and radiography experiments.This study aimed to comprehensively describe the retrograde flow characteristics in various PBR scenarios and assess the factors leading to PBR using simulations based on idealized geometry and boundary conditions.Methods:By Cadence Pointwise,we developed a computational fluid dynamics(CFD)model using an idealized PBJ system.Standard parameters such as pressure and viscosity were applied,along with typical assumptions relevant to fluid dynamic modeling.Subsequently,based on the aforementioned basic idealized model,we analyzed 8 hypothetical PBR conditions,covering a range of high(shorter)and low(longer)values or different positions for each specific parameter,at a representative stage of a peristaltic propagation cycle of the Oddi's sphincter.Results:We modeled a two-dimensional PBJ with the propagation of a peristaltic wave.These findings demonstrated that the shortened septum,the extended ampulla,the increased wavelength and enhanced amplitude of the Oddi's sphincterial peristalsis,the widened diameter difference and the increased pressure difference between the common bile duct(CBD)and the main pancreatic duct(MPD),as well as the gravitational effect(position),strongly impacted PBR,while the viscosity of bile and pancreatic juice had a weaker influence.Additionally,an inequality incorporating these risk factors was developed for the evaluation of whether reflux occurs.Conclusions:Numerical simulation can be used to describe the reflux flow field,offering the possibility to visualize and analyze PBR,which has the potential to significantly revolutionize the understanding of PBR and improve clinical decision-making.Future work should focus on bridging the gap between CFD and clinical practice.
基金supported by the National Key R&D Plan(2022YFF0800702)project SINOPROBE on subproject SINOPROBE-01the Science and Technology Project of Inner Mongolia(2023QN04007).
摘要The three-dimensional resistivity model of the lithosphere and fluid content plays a significant role in analyzing the spatiotemporal distribution and dynamic reasons for the North China Craton(NCC)destruction.The conductivity is related to temperature and melt fraction using laboratory experiments.The Hashin-Shtrikman(HS)bounds are used to constrain the conductivity range of rocks in the solid and solid-melt systems.The authors established the lithospheric conductivity-temperature relationship by combining the mineral composition obtained from the analysis of xenoliths,the steady-state heat conduction equation,water,and carbon dioxide.To discuss the destruction of the NCC,the three-dimensional resistivity structure model obtained from the magnetotelluric sounding(MT)array inversion of the NCC is compared with the model calculated using the HS bounds.The research results show that the higher the volatile water and carbon dioxide content in the fluid,the lower the mantle solidus.Based on the melt fractions of the Ordos Block,Trans-North China Orogen,and Bohai Bay Basin,the speculated lithosphere-asthenosphere boundary(LAB)exhibits the characteristics of deep in the west and shallow in the east.The partial melting of the Bohai Bay Basin began at a shallower depth than other places,with a more significant difference in fluid content in the depth.
基金supported by the National Natural Science Foundation of China(Nos.12325201,12322201,and 12272140)the Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China(No.JYB2025XDXM203)the Open Fund Project of Hanjiang National Laboratory(No.KF2024010)。
摘要In this study,a novel offset support design for enhancing the stability of fluid-conveying pipes is proposed.Specifically,by offsetting the simple support,the nonlinear stiffness in both tension and bending of the pipes is effectively increased.On the basis of the absolute nodal coordinate formulation(ANCF),a theoretical model for a pipe with an offset support under various boundary conditions is established and validated through experiments.A systematic investigation is subsequently conducted to explore the effects of the offset position and amplitude on the static deformation,stability,and nonlinear dynamic behaviors.The results indicate that the proposed offset support can significantly increase the stability of the fluid-conveying pipe and reduce its deformation amplitude.In most cases,a larger offset amplitude generally corresponds to a higher critical fluid velocity and a smaller deformation amplitude.With respect to the support position,placing an offset support at one-quarter of the span from the supported end can substantially improve the stability of simply supported pipes.With respect to cantilevered pipes,adding an offset support at the free end can considerably increase the critical flow velocity of the pipe.When the flow velocity is in the subcritical region,a pipe with an offset support maintains in-plane static deformation with a small amplitude.In the supercritical flow velocity region,compared with a pipe without an offset support,a pipe with an offset support has a smaller nonplanar configuration.This study provides new insight into enhancing the stability of fluid-conveying pipes via an offset support design,which features simple implementation and considerable application potential in engineering practice.
基金supported by the National Natural Science Foundation of China(No.12372233)the Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University,China(No.25GH01020005)the“111 Project”of China(No.B17037)。
摘要As a multidisciplinary phenomenon,panel aeroelasticity in shock-dominated flow is featured by two primary interactions:Fluid-Structure Interactions(FSIs)and Shock-Boundary Layer Interactions(SBLIs).The former raises structural concerns,and the latter is of aerodynamic interest.Thus,panel aeroelasticity in shock-dominated flow represents a vital topic for the development and optimization of supersonic vehicles and propulsion systems.This review systematically summarizes recent advances in the methodologies applied to capture structural and fluid dynamics,including theoretical models,numerical simulations,and wind tunnel experiments.The application of data-driven modal decomposition,an advanced technique to extract physically crucial features,on the topic is introduced.From the perspective of FSIs,the distinctive aeroelastic behaviors in shock-dominated flow,including hysteresis phenomena and nonlinear responses,are highlighted.From the perspective of SBLIs,the modifications in their spatial and temporal characteristics imposed by the aeroelastic responses are emphasized.Motivated by the interaction between the shock waves and structural response,different strategies have been proposed to implement aeroelastic suppression and shock control,which have the potential to enhance structural safety and aerodynamic performance in the next generation of high-speed flight vehicles.
摘要This study examines the variable thermal conductivity and electroosmotic performance of Sutterby hybrid nanofluid(SBHNF)thin film flow over a stretched inclined sheet using an artificial neural network(ANN)-based on NARX(Multilayer Nonlinear Autoregressive Networks with Exogenous Inputs)multiple-layer backpropagation simulation with the Levenberg-Marquardt algorithm(LMA).AA7075 and AA7072 nanoparticles suspended in sodium alginate(SA)base fluid make up the hybrid nanofluid(HNF),which was selected due to its improved heat transfer properties and superior thermal conductivity.The model's practical applicability is enhanced by melting heat,nonlinear thermal radiation,boundary slip,and Newtonian heating effects,which are considered for surface heat flow.A dataset spanning three cases and seven scenarios of SBHNF is generated by solving the simplified governing equations using the built-in MATLAB bvp4c numerical methods.The dataset comprises three divisions:80%allocated for training,10%for validation,and 10%for testing.The proposed system is employed for the analysis of stream and thermal transmission,with conclusions validated by several approaches,including error histograms,regression plots,time series analysis,mean square error(MSE)of the loss function,autocorrelation,and cross-correlation.Findings from the AI-based LMA validate the suggested method for solving the SBHNF accurately.Joule heating,variable thermal conductivity,and other external sources elevate fluid temperature,whereas radiation heating markedly amplifies surface heat energy by accumulating,hence improving heat transfer.The opposing forces produced by magnetic fields,Darcy's law,and electroosmosis reduce fluid velocity,which is effective for wellbore stability and hydraulic efficiency.The MSE and coefficient of determination(R2)are used to assess the correctness and robustness of the suggested computational framework.The trained network indicated outstanding predictive accuracy with R²=O.999 for all scenarios.The error histogram for the proposed model is 10-6 to 10-7.The seven scenarios of SBHNF fall within the range of 10-8 to 10-13 for the attained high MSE(loss function)convergence levels.equations,including changing thermal conductivity,nonlinear radiation,and the Sutterby fluid's shearthinning features.The NARX network converges quickly and reliably,making it a strong surrogate model tool with the Levenberg-Marquardt Algorithm(LMA).The LMA was integrated with MLP to efficiently address the problem's complexity.This model,which has one input layer,two hidden layers containing 10,10 neurons,and one output layer,is set up to support sequential input.The changeable weights in the hidden layers are used to identify patterns and connections in the data.Furthermore,the sigmoid nonlinear activation function is used to allow the model to learn complex associations.Gradient descent optimization is used in training when weights are iteratively changed to minimize prediction error.With each iteration,backpropagation improves accuracy by modifying these weights in response to variations between actual and expected outputs.Several key elements are adjusted to improve training efficiency,including hyperparameter tuning,convergence criteria,and learning rate adaptation.The output layer iteratively minimizes errors before producing predictions.The method starts with the creation of a dataset using SBHNF settings and the identification of the key variables.The dataset is created by solving the ODE system in MATLAB using the bvp4c solver(relative tolerance 10-6,absolute tolerance 10-8).Each parameter combination in Table 5 is discretized into 101 evenly spaced points in the spatial domainη[0,β=1](whereβis the film thickness).The dataset contains 2l2l samples from all seven scenarios and three cases(2l parameter combinations,each giving 101 geographical points).Randomly shuffling the dataset divides it into three mutually exclusive subsets:80%for training(1697 samples),10%for validation(212 samples),and 10%for testing.The ANN is trained with the training dataset,and the gradient of the MSE loss function is calculated,and the training parameters are updated by gradient descent optimization.To lower the error,the weights are changed,and the procedure is repeated until convergence.The computational setup included MATLAB R2025b(Deep Learning Toolbox version 14.5)operating on an Intel Core i7-10750H CPU@2.60 GHz with 32 GB RAM and a 64-bit operating system;the average training duration per model varied from 1 to 2 s.The precision and efficacy of the proposed system are dictated by the assessment,instruction,and validation procedures integrated into the neural network's design,as shown in Fig.2.Especially in addressing the SNFFM,the LMA method shows notable variations from conventional methods.Along with efficient mapping between input and output variables,this global modeling technique helps create comprehensive diagnostic graphs.Seven scenarios(Table 5)delineated by the fluid system,with fluctuations in the Helmholtz-Smoluchowski velocity(U hs),porosity parameter(Kp),magnetic parameter(M),temperature ratio parameter(θw),fluid parameter(βs),unsteady parameter(S),and Schmidt number(Sc)for each case.The other parameters are fixed for all seven scenarios.
基金support provided by Universiti Kebangsaan Malaysia through grant number GP-K017380.
摘要This study presents a numerical investigation of thermosolutal convection within a baffled porous cavity filled with a radiative Casson-based ternary aqueous nanofluid.The ternary hybrid nanofluid is formulated by dispersing three distinct nanoparticles into a water-based solution,aiming to enhance the thermal and solute transport characteristics.The cavity includes internal baffles that modulate convective flow and facilitate improved energy transport.The governing equations for momentum,energy,species concentration,and entropy generation are discretized and solved using a higher-order compact(HOC)finite difference scheme,ensuring superior numerical precision.The novelty of the present study lies in the irreversibility analysis of thermosolutal convection of a Casson ternary nanofluid in a porous wavy enclosure with a T-shaped baffle,highlighting the combined effects of nonNewtonian behavior,ternary nanoparticle interaction,and geometric modification on entropy generation and transport performance.The impacts of key physical parameters on solutal and thermal distributions,entropy generation,and the Bejan number are systematically examined.The study reveals that the combined influence of the non-Newtonian nature of the Casson fluid and thermal radiation significantly alters flow structure and transport rates.Enhanced heat transfer is observed with increasing radiation parameters,while solutal transport remains relatively less sensitive.The presence of internal baffles promotes localized vortices and thermal layering,contributing to complex thermo-solutal interactions.The outcomes also show that the inclusion of a T-shaped baffle within the container enhances overall convective transport characteristics and system performance.The findings provide valuable insights into the design of advanced energy systems involving non-Newtonian nanofluids in porous enclosures under radiative and geometric constraints.
基金Supported by the CNPC Science and Technology Project(2022ZG06)Xinjiang Uygur Autonomous Region Science and Technology Innovation Talent Project(2024TSYCCX0061)。
摘要Two types of ultra-high-temperature resistant water-based drilling fluid additives were designed and developed:an ultra-high-temperature resistant salt-tolerant polymer fluid loss reducer,and an ultra-high-temperature resistant micro-nano plugging agent.An ultra-high-temperature resistant water-based drilling fluid system meeting the requirements of ultra-deep well drilling was established.Laboratory test and field application were employed for performance evaluation.The ultra-high-temperature and high-salt resistant polymer fluid loss reducer exhibits a mesh-like membrane structure with numerous cross-linking points,and its high-temperature and high-pressure(HTHP)loss was 28.2 m L after aging at 220℃under saturated salt conditions.The ultra-high-temperature resistant micro-nano plugging agent adaptively filled mud cake pores/fractures through deformation,thus reducing the fluid loss.At elevated temperatures,it transitioned to a viscoelastic state to effectively cement the rock on wellbore wall and enhanced wall stability.The ultra-high-temperature resistant water-based drilling fluid system with a density of 1.6 g/cm3exhibits excellent rheological properties at high temperature and high pressure.Its HTHP fluid loss at 220℃was only 9.6 m L.It maintains a stable performance under high-temperature and high-salt conditions,with a sedimentation factor below 0.52 after holding at high temperature for 7 d,and generates no H2S gas after aging,demonstrating good lubricity and safety.This drilling fluid system has been successfully applied in the 10000-meter ultra-deep well of China,Shenditake 1,in Tarim Oilfield,ensuring the well's successful drilling to a depth of 10910 m.
基金supported by the Key Research&Development Program of Shandong Province China(2024CXGC010405)Shandong Provincial Key Laboratory of Chemical Process Simulation and Optimization Industrial Software(PKL2024F23)。
摘要The global pursuit of carbon neutrality demands innovative strategies to decarbonize energy-intensive sectors,among which energy-saving optimization represents one of the most critical measures.As one of the largest energy consumers in refineries,the Fluid Catalytic Cracking Unit(FCCU)offers significant potential for energy savings and carbon emission reduction.This study presents a comprehensive simulation-optimization framework for enhancing the performance of FCCU,integrating process simulation,thermodynamic analysis,and evolutionary optimization under industrial operational constraints.Genetic Algorithm(GA)and Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ)were employed for multi-objective optimization of energy efficiency,product yield,and economic revenue.A TOPSIS decision-making method was incorporated to identify the most favorable trade-off solutions from the Pareto front.Dual-objective optimization achieved balanced trade-offs between conflicting objectives.Specifically,the energy-yield optimization reduced energy consumption by 3.28%and increased product yield by 1.95%,resulting in a 9.63%decrease in energy use compared to the singleobjective yield maximization case.Similarly,the energy-revenue optimization reduced energy consumption by 1.17%and increased revenue by 0.25%,resulting in a 5.42%decrease in energy use compared to the single-objective revenue maximization case.Economic and environmental assessments confirm system-level decarbonization,with pollutant(CO2/SO2/NOx)emissions reduced by 2.30%(energy-yield)and 3.34%(energy-revenue),respectively.These results demonstrate the effectiveness of the proposed multi-objective framework and its potential as a transferable tool for performance enhancement and decarbonized,sustainable operation across FCCUs and broader refining systems.
基金supported by Liaoning Province Applied Basic Research Program Project of China(2022JH2/101300077)by Liaoning Provincial Department of Education's Basic Scientific Research Projects for Higher Education Institutions of China(JYTMS20231507)。
摘要A novel self-priming jet impeller combined with upward and downward impact jet pipes was investigated to enhance the shear-thinning characteristics and the viscosity uniformity of non-Newtonian fluids within the stirring tank.And the dislocation angle a was defined as the angle between the upward and downward impact jets.The effects of this angle on mixing efficiency,power consumption,and flow field characteristics were analyzed through numerical simulation and experimentation.Results indicated that the radial and axial mixing performance was improved due to the interaction between the self-priming flow,the up-impact jet,and the down-impact jet.This interaction prevented the deposition of high-viscosity fluid at the bottom and near the tank wall.When α≤50°,the jet development space was sufficient,accelerating fluid shear-thinning in the jet shear layer.At α=50°and 70°,flow circulation and field synergy were enhanced,effectively improving overall viscosity uniformity within the tank while maintaining low power consumption.The jet impacted at the tank wall for α=90°,and the axial flow was weakened,and both shear-thinning characteristics and viscosity uniformity were decreased.The result was validated through optimization design using non-dominated sorting genetic algorithm Ⅱ.The study holds significant implications for the promotion and application of the self-priming jet impeller and exploration of jet-mechanical coupling theory.
基金supported by PetroChina Science and Technology Development Project(2023ZZ0206,2021DJ0105,2023D-5008-02,2024-KFKT-01)National Natural Science Foundation of China(Nos.42472216,42502140,2025ZD1400402).
摘要Liquid oils in deeply buried reservoirs are usually subjected to thermal cracking by the prolonged time-temperature effect during burial.However,large quantity liquid oils are being produced from the Cambrian reservoirs in the Tarim Basin at a depth of over 5500 m.Previous studies suggest that a late oil charging event should have been responsible for the preservation of liquid oil,but the evidence from fluid inclusions is questionable.In this study,carbonate U–Pb dating following a systematic fluid inclusion analysis is applied to constrain the timing of oil charging in the Cambrian reservoir in the Kalayuergun structural belt in the western part of the Tabei Uplift.The results show that the diagenetic minerals of the Cambrian Xiaqiulitage Formation include the dolomite matrix,anhedral dolomite,euhedral dolomite and calcite.Secondary oil inclusions were detected as trails in the dolomite matrix while primary oil inclusions are distributed along growth zones of calcite.Both of these inclusions are featured by multiple fluorescence colors in single oil inclusion assemblage,which are interpreted to be the results of trapping fractionation or post-entrapment alteration.The homogenization temperatures of oil inclusions with different fluorescence colors in the same assemblage are in the same range of their coeval aqueous inclusions,denoting oil inclusions are formed in a single trapping event and the oil should have been gas saturated.Projecting the lowest homogenization temperature of the aqueous inclusion onto the burial history,yielding an age of around 450 Ma which is very close to the U–Pb age of calcite(440.5±9.6 Ma),corresponding to the first oil generation peak of the Yuertusi Formation during the Late Ordovician to Early Silurian.Considering this,the early generated oils migrated upwards to the shallower reservoir through fault planes together with the low heating rate of the Tarim Basin prevented the oil in place from thermal cracking.This study demonstrates the effectiveness of integrating carbonate U–Pb dating and fluid inclusion methods to investigate deeply buried reservoirs in the Tarim Basin,which can be applied to similar reservoirs in the world.
基金funded by National Natural Science Foundation of China-Enterprise Joint Fund for Innovation and Development(U24B6001)National Natural Science Foundation of China(grant42488101,grant 42172160 and grant 42202142)+1 种基金National Science and Technology Major Project(2025ZD1400502,2025ZD1400507)Taishan Scholars Project(No.ZX20250154)。
摘要Intracratonic strike-slip faults in central-we stern China's Tarim Basin serve as critical conduits for hydrocarbon migration and accumulation.This study integrates geochemical characterization,in-situ calcite U-Pb geochronology,and fluid inclusion microthermometry to resolve the long-debated temporal relationships between tectonic reactivation and hydrocarbon charging processes in the ultra-deep Shunbei fault system.Through systematic analysis of reservoir oils and fracture-filling calcites from the Shunbei Nos.4,6,and 8 fault zones,we establish a novel chronological framework combining differential hydrocarbon accumulation with fault activation phases.Building upon previous structural analyses,our U-Pb geochronology resolves four distinct tectonic phases for the No.4 fault:Middle-Late Caledonian(473±12 Ma and 443±17 Ma),Late Caledonian-Early Hercynian,Middle-Late Hercynian,and Indosinian-Yanshanian,while the No.8 fault exhibits four episodes spanning Middle-Late Caledonian(453.5±2.5 Ma,413±29 Ma)to Indosinian-Yanshanian(196±57 Ma).Hydrocarbon charging occurred through four discrete phases,with No.8 fault demonstrating earlier petroleum emplacement(principal oil:294±29 Ma;principal gas:196±57 Ma)relative to No.4 fault(principal oil:282-205 Ma;principal gas:196-11 Ma).MDR-MPI-1 correlations reveal hydrothermal influence on select oils,causing maturity overestimation.Fluorescence spectra(λmax<445 nm)and geochemical indices(vitrinite reflectance equivalent:1.2%-1.6%)confirm high thermal maturity.Stable carbon isotopes(δ13C1<δ13C2)confirm normal genetic oil-type gas with low thermal maturity.Diamondoid indices and gas compositional trends(ln(C2/C3)vs.δ13C2-δ13C3)demonstrate predominant kerogenderived methane with subordinate oil-cracked contributions.Enhanced vertical connectivity and elevated source maturity in No.8 fault account for its preferential hydrocarbon enrichment.This work establishes a genetic linkage between multi-phase fault activation and differential hydrocarbon accumulation,providing an innovative methodology for evaluating ultra-deep reservoirs in cratonic basins through coupled geochronological-hydrocarbon fluid inclusion analysis.