Geological storage and utilization of CO_(2)involve complex interactions among Thermo-hydromechanical-chemical(THMC)coupling processes,which significantly affect storage integrity and efficiency.To address the challen...Geological storage and utilization of CO_(2)involve complex interactions among Thermo-hydromechanical-chemical(THMC)coupling processes,which significantly affect storage integrity and efficiency.To address the challenges in accurately simulating these coupled phenomena,this paper systematically reviews recent advances in the mathematical modeling and numerical solution of THMC coupling in CO_(2)geological storage.The study focuses on the derivation and structure of governing and constitutive equations,the classification and comparative performance of fully coupled,iteratively coupled,and explicitly coupled solution methods,and the modeling of dynamic changes in porosity,permeability,and fracture evolution induced by multi-field interactions.Furthermore,the paper evaluates the capabilities,application scenarios,and limitations of major simulation platforms,including TOUGH,CMG-GEM,and COMSOL.By establishing a comparative framework integrating model formulations and solver strategies,this work clarifies the strengths and gaps of current approaches and contributes to the development of robust,scalable,and mechanism-oriented numerical models for long-term prediction of CO_(2)behavior in geological formations.展开更多
Using sunlight to drive chemical reactions via photocatalysis is paramount for a sustainable future.Among several photocatalysts,employing layered double hydrides(LDH) for photocatalytic application is most straightfo...Using sunlight to drive chemical reactions via photocatalysis is paramount for a sustainable future.Among several photocatalysts,employing layered double hydrides(LDH) for photocatalytic application is most straightforward and desirable owing to their distinctive two-dimensional(2D) lamellar structure and optical attributes.This article reviews the advancements in bimetallic/trimetallic LDHs and various strategies to achieve high efficiency toward an outstanding performing photocatalyst.Firstly,the tuning of LDH components that control the electro nic and structural properties is explained.The tu ning obtained through the adoption,combination,and incorporation of different cations and anions is also explained.The progress of modification methods,such as the adoption of different morphologies,delamination,and defect engineering towards enhanced photocatalytic activities,is discussed in the mainstream.The band engineering,structural characteristics,and redox tuning are further deliberated to maximize solar energy harvesting for different photocatalytic applications.Finally,the progress obtained in forming hierarchical heterostructures through hybridization with other semiconductors or conducting materials is systematically disclosed to get maximum photocatalytic performance.Moreover,the structural changes during the in-situ synthesis of LDH and the stability of LDH-based photocatalysts are deliberated.The review also summarizes the improvements in LDH properties obtained through modification tactics and discusses the prospects for future energy and environmental applications.展开更多
Data-driven approaches and artificial intelligence(AI)algorithms are promising enough to be relied on even more than physics-based methods;their main feed is data which is the fundamental element of each phenomenon.Th...Data-driven approaches and artificial intelligence(AI)algorithms are promising enough to be relied on even more than physics-based methods;their main feed is data which is the fundamental element of each phenomenon.These algorithms learn from data and unveil unseen patterns out of it The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology.As the oil and gas industry is in the transition phase to oilfield digitization,there has been an increased drive to integrate data-driven modeling and machine learning(ML)algorithms in different petroleum engineering challenges.ML has been widely used in different areas of the industry.Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry;however,lack of two main features is noticeable.Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable.Attention must be given to data itself and the way it is classified and stored.Although there are sheer volumes of data coming from different disciplines,they reside in departmental silos and are not accessible by consumers.In order to derive as much insight as possible out of data,the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.展开更多
A key global challenge in the 21st century is how to secure sustainable access to energy for a growing global population—set to reach 10 billion by 2035—while coping with the threat of dangerous climate change.The o...A key global challenge in the 21st century is how to secure sustainable access to energy for a growing global population—set to reach 10 billion by 2035—while coping with the threat of dangerous climate change.The oil and gas industry will still play an essential role in the energy transition by providing affordable and reliable energy to improve living conditions.Meanwhile,producing this energy with decreasing emissions supports a net-zero world.展开更多
A new nanocomposite polymer gel is synthesized for reduction of excess water production in petroleum reservoirs at real operating conditions.This new nanocomposite gel contains SiO2 nanoparticles,partially hydrolyzed ...A new nanocomposite polymer gel is synthesized for reduction of excess water production in petroleum reservoirs at real operating conditions.This new nanocomposite gel contains SiO2 nanoparticles,partially hydrolyzed polyacrylamide(HPAM)and chromium triacetate.High pressure and high temperature tests using porous carbonate core are carried out to evaluate the effects of nanoparticles on the synthesized polymer gel performance.It is shown that the residual resistance factor ratio of water to oil using the synthesized polymer gel nanocomposite in this work is much higher than that of the ordinary polymer gels.The presented results confirm the high performance of the synthesized nanocomposite polymer gel for decreasing the water flow through porous carbonate bed.A mathematical model for description of oil and water flow behavior in the presence of synthesized nanocomposite polymer gel is also presented.The presented nano polymer gel leads to considerable cost saving in enhanced oil recovery(EOR)processes.展开更多
A successful design, previously adapted for treatment of complex wastewaters in a microbial fuel cell （MFC）, was used to fabricate two MFCs, with a few changes for cost reduction and ease of construction. Performanc...A successful design, previously adapted for treatment of complex wastewaters in a microbial fuel cell （MFC）, was used to fabricate two MFCs, with a few changes for cost reduction and ease of construction. Performance and electrochemical characteristics of MFCs were evaluated in different environmental conditions （in complete darkness and presence of light）, and different flow patterns of batch and continuous in four hydraulic retention times from 8 to 30 h. Changes in chemical oxygen demand, and nitrate and phosphate concentrations were evaluated. In contrast to the microbial fuel cell operated in darkness （D-MFC） with a stable open circuit voltage of 700 mV, presence of light led to growth of other species, and consecutively low and unsteady open circuit voltage. Although the performance of the MFC subjected to light （L-MFC） was quite low and unsteady in dynamic state （internal resistance = 100 Ω, power density = 5.15 W.m-3）. it reached power density of 9.2 W.m-3 which was close to performance of D-MFC （internal resistance = 50 d, power density = 10.3 W.m-3）. Evaluated only for D-MFC, the coulombic efficiency observed in batch mode （30%） was quite higher than the maximum acquired in continuous mode （9.6%） even at the highest hydraulic retention time. In this study, changes in phosphate and different types of nitrogen existing in dairy wastewater were investigated for the first time. At hydraulic retention time of 8 h, the orthophosphate concentration in effluent was 84% higher compared to influent. Total nitrogen and total Kjeldahl nitrogen were reduced 70% and 99% respectively at hydraulic retention time of 30 h, while nitrate and nitrite concentrations increased. The microbial electrolysis cell （MEC）, revamped from D-MEC, showed the maximum gas production of 0.2 m3 H2·m-3·d-1 at 700 mV applied voltage.展开更多
Biomarker and stable carbon isotope analyses are presented for the Garau Formation of the Cretaceous Age,an important source rock in western Iran,to reveal its potential as an oilprone source rock.The C_(28)/C_(29)ste...Biomarker and stable carbon isotope analyses are presented for the Garau Formation of the Cretaceous Age,an important source rock in western Iran,to reveal its potential as an oilprone source rock.The C_(28)/C_(29)sterane ratio value range(0.72 to 0.83)of bitumen samples from the formation suggests that they were likely formed during phytoplankton blooms.Sterane,hopane,and isoprenoid/n-alkane ratios indicate that the formation's organic matter predominantly consists of algae,and bacteria,accompanied by some reworked material derived from higher plants.Due to the predominance of anoxic conditions and the actions of sulfate-reducing bacteria,the bitumen present is enriched with sulfur compounds.The percentages of saturates,aromatics,and nitrogen-sulfuroxygen(NSO)fractions in the bitumen samples classify them as naphthenic oils.Isotope analysis reveals that biodegradation and water-washing have reduced the concentrations of some volatile saturates and low molecular weight aromatics in the bitumen samples.These actions have resulted in distinctiveδ^(13)C values for the formation's kerogen and bitumen fractions.The formation's organic matter has been subjected to high-temperature thermal regimes and has entered the oil-generation window at the sampled localities,with vitrinite reflectance(%R_(C))varying between 0.7%and 0.75%.展开更多
In recent years,smart materials have emerged as a groundbreaking innovation in the field of water filtration,offering sustainable,efficient,and environmentally friendly solutions to address the growing global water cr...In recent years,smart materials have emerged as a groundbreaking innovation in the field of water filtration,offering sustainable,efficient,and environmentally friendly solutions to address the growing global water crisis.This review explores the latest advancements in the application of smart materials—including biomaterials,nanocomposites,and stimuli-responsive polymers—specifically for water treatment.It examines their effectiveness in detecting and removing various types of pollutants,including organic contaminants,heavy metals,and microbial infections,while adapting to dynamic environmental conditions such as fluctuations in temperature,pH,and pressure.The review highlights the remarkable versatility of these materials,emphasizing their multifunctionality,which allows them to address a wide range of water quality issues with high efficiency and low environmental impact.Moreover,it explores the potential of smart materials to overcome significant challenges in water purification,such as the need for real-time pollutant detection and targeted removal processes.The research also discusses the scalability and future development of these materials,considering their cost-effectiveness and potential for large-scale application.By aligning with the principles of sustainable development,smart materials represent a promising direction for ensuring global water security,offering both innovative solutions for current water pollution issues and long-term benefits for the environment and public health.展开更多
This study investigates the potential of Prosopis cineraria Leaves Powder(PCLP)as a biosorbent for removing lead(Pb)and zinc(Zn)from aqueous solutions,optimizing the process using Response Surface Methodology(RSM).Pro...This study investigates the potential of Prosopis cineraria Leaves Powder(PCLP)as a biosorbent for removing lead(Pb)and zinc(Zn)from aqueous solutions,optimizing the process using Response Surface Methodology(RSM).Prosopis cineraria,commonly known as Khejri,is a drought-resistant tree with significant promise in environmental applications.The research employed a Central Composite Design(CCD)to examine the independent and combined effects of key process variables,including initial metal ion concentration,contact time,pH,and PCLP dosage.RSM was used to develop mathematical models that explain the relationship between these factors and the efficiency of metal removal,allowing the determination of optimal operating conditions.The experimental results indicated that the Langmuir isotherm model was the most appropriate for describing the biosorption of both metals,suggesting favorable adsorption characteristics.Additionally,the D-R isotherm confirmed that chemisorption was the primary mechanism involved in the biosorption process.For lead removal,the optimal conditions were found to be 312.23 K temperature,pH 4.72,58.5 mg L-1 initial concentration,and 0.27 g biosorbent dosage,achieving an 83.77%removal efficiency.For zinc,the optimal conditions were 312.4 K,pH 5.86,53.07 mg L-1 initial concentration,and the same biosorbent dosage,resulting in a 75.86%removal efficiency.These findings highlight PCLP’s potential as an effective,eco-friendly biosorbent for sustainable heavy metal removal in water treatment.展开更多
Stable HCl-crude oil emulsion and its subsequent sludge formation,with detrimental impacts on oil production,may stem from acid stimulation.One major ambiguity in this process is to discern the most influential compon...Stable HCl-crude oil emulsion and its subsequent sludge formation,with detrimental impacts on oil production,may stem from acid stimulation.One major ambiguity in this process is to discern the most influential component of crude oil on the stability of formed emulsions.This fundamental question has not adequately been addressed in previous studies.In this work,the impact of de-asphalted part of crude oil(maltene)has been investigated on the acid-induced emulsion and sludge separately.Accordingly,the emulsion phase separation and the amount of formed sludge have been compared for four crude oils and their maltene samples for different concentrations of ferric ion and acidic pH values.The results of phase separation,as a criterion for emulsion stability,showed that crude oil samples formed 6 to 25 percent more stable emulsions than maltene samples,when using blank HCl.The emulsions of maltene and spent acid(pH=2)broke completely during the first 15 min after emulsification.In addition,the maltene components usually had less contribution to sludge formation in the presence of blank HCl.It was concluded that asphaltene is the key component during interaction with HCl.However,the maltene of one crude sample formed higher acid sludge in comparison to its crude oil.For acid solutions containing 3000 ppm of ferric ion,the emulsion stability increased for all crude oil and maltene samples.Moreover,the stability of some maltene emulsions increased to 48%and 100%in the presence of 3000 ppm of ferric ions.The presence of ferric ions caused forming very stable emulsions,while most of the sludge formation took place at higher pH values.Finally,it was also attained that emulsion and sludge formations could happen simultaneously.展开更多
Toluene is widely used as a raw material for many chemical products/pharmaceutical intermediates and as a solvent in many chemical and manufacturing industries.The conversion of toluene into higher value chemicals(ben...Toluene is widely used as a raw material for many chemical products/pharmaceutical intermediates and as a solvent in many chemical and manufacturing industries.The conversion of toluene into higher value chemicals(benzyl alcohol,benzaldehyde,and benzoic acid,etc.)using sunlight is a very promising means.To achieve the full conversion and utilization of toluene,it is necessary to construct photocatalysts with high conversion and selectivity while synergistically optimizing the optimal reaction environment to significantly affect the photo-conversion of toluene.High-performance photocatalysts not only widely absorb sunlight,but also have abundant active sites and generation of free radicals,which can promote the chemical bonds cleavage of toluene,thus greatly increasing the yield of higher-valued products.In addition,the type of photocatalyst and the modification strategy would influence the selectivity of toluene photo-conversion.Therefore,it makes sense that this review presents the reaction mechanism and the influence of reaction factors for the(mainly)photo-oxidation of toluene,a thorough analysis and prediction of the reaction mechanism by theoretical calculations,and the toluene oxidation by different photocatalysts(in particular halogen-containing perovskite materials)to yield specific products,as well as photocatalysts’modifications.Finally,the challenges and prospects for designing efficient photocatalysts and optimizing the toluene oxidation reaction process are summarized.展开更多
Global climate change has become one of the most pressing challenges of the 21st century.As anthropogenic CO_(2) emissions from fossil fuel consumption and industrial processes continue to disrupt Earth’s carbon cycl...Global climate change has become one of the most pressing challenges of the 21st century.As anthropogenic CO_(2) emissions from fossil fuel consumption and industrial processes continue to disrupt Earth’s carbon cycle,atmospheric CO_(2) concentrations have reached unprecedented levels-exceeding 420 parts per million(ppm)in 2023 compared to pre-industrial 280 ppm.This rapid accumulation of greenhouse gases has resulted in measurable con-sequences including rising global temperatures,ocean acidifica-tion,and increased frequency of extreme weather events.展开更多
Controlling efficient interfacial charge transfer is crucial for developing advanced photocatalysts.This study successfully developed a bifunctional photocatalyst with an S-scheme heterojunction by incorporating ReS_(...Controlling efficient interfacial charge transfer is crucial for developing advanced photocatalysts.This study successfully developed a bifunctional photocatalyst with an S-scheme heterojunction by incorporating ReS_(2) into the Zn_(3)In_(2)S_(6)(ZIS)nanoflower structure,enabling the organic pollutants degradation and synergistic hydrogen production.The optimized ZIS/ReS_(2)-1%exhibited exceptional photocatalytic efficiency,reaching a 97.7%degradation rate of ibuprofen(IBP)within 2 h,along with a hydrogen generation rate of 1.84 mmol/g/h.The degradation efficiency and hydrogen generation rate were 1.78 and 5.75 times greater than those of Zn_(3)In_(2)S_(6),respectively.Moreover,ZIS/ReS_(2)-1%demonstrated excellent catalytic degradation abilities for various organic pollutants such as ciprofloxacin,amoxicillin,norfloxacin,levofloxacin,ofloxacin,sulfamethoxazole,and tetracycline,while also showing good synergistic hydrogen production efficiency.Electron spin resonance and radical scavenging experiments verified that h+,·O^(2)-,and @·OH were the primary reactive species responsible for IBP degradation.The superior photocatalytic performance of the ZIS/ReS_(2)-1%was mainly attributed to its broad and intense absorption of visible light,effective separation of charge carriers,and enhanced redox capabilities.The degradation pathway of IBP was unveiled through Fukui function and liquid chromatography-mass spectrometry,and the toxicity of the degradation intermediates was also examined.In-situ XPS and density functional theory(DFT)calculations confirmed the existence of S-scheme heterojunction.This study provided a new pathway for simultaneously achieving organic pollutant treatment and energy conversion.展开更多
The hybrid CO_(2) thermal technique has achieved considerable success globally in extracting residual heavy oil from reserves following a long-term steam stimulation process.Using microscopic visualization experiments...The hybrid CO_(2) thermal technique has achieved considerable success globally in extracting residual heavy oil from reserves following a long-term steam stimulation process.Using microscopic visualization experiments and molecular dynamics(MD)simulations,this study investigates the microscopic enhanced oil recovery(EOR)mechanisms underlying residual oil removal using hybrid CO_(2) thermal systems.Based on the experimental models for the occurrence of heavy oil,this study evaluates the performance of hybrid CO_(2) thermal systems under various conditions using MD simulations.The results demonstrate that introducing CO_(2) molecules into heavy oil can effectively penetrate and decompose dense aggregates that are originally formed on hydrophobic surfaces.A stable miscible hybrid CO_(2) thermal system,with a high effective distribution ratio of CO_(2),proficiently reduces the interaction energies between heavy oil and rock surfaces,as well as within heavy oil.A visualization analysis of the interactions reveals that strong van der Waals(vdW)attractions occur between CO_(2) and heavy oil molecules,effectively promoting the decomposition and swelling of heavy oil.This unlocks the residual oil on the hydrophobic surfaces.Considering the impacts of temperature and CO_(2) concentration,an optimal gas-to-steam injection ratio(here,the CO_(2):steam ratio)ranging between 1:6 and 1:9 is recommended.This study examines the microscopic mechanisms underlying the hybrid CO_(2) thermal technique at a molecular scale,providing a significant theoretical guide for its expanded application in EOR.展开更多
Comprehensive studies on CO_(2)breakthrough times and flooding effects are crucial for optimizing CO_(2)flooding strategies.This study utilized numerical simulations to investigate the effects of hydraulic fractures,p...Comprehensive studies on CO_(2)breakthrough times and flooding effects are crucial for optimizing CO_(2)flooding strategies.This study utilized numerical simulations to investigate the effects of hydraulic fractures,permeability,and CO_(2)injection rates on CO_(2)breakthrough times and cumulative oil production.Nonlinear relationships among the respective variables were established,with Sobol method analysis delineating the dominant control factors.The key findings indicate that although hydraulic fracturing shortens CO_(2)breakthrough time,it concurrently enhances cumulative oil production.The orientation of hydraulic fractures emerged as a pivotal factor influencing flooding effectiveness.Furthermore,lower permeability corresponds to lower initial oil production,while higher permeability corresponds to higher initial daily oil production.When reservoir permeability is 1 mD,oil production declines at 1000 days,and at 2 mD,it declines at 700 days.At a surface CO_(2)injection rate of 10,000 m^(3)/d,the daily oil production of a single well is approximately 7.5 m^(3),and this value remains relatively stable over time.The hierarchical order of influence on CO_(2)breakthrough and rapid rise times,from highest to lowest,is permeability,well spacing,CO_(2)injection rate,porosity,and hydraulic fracture conductivity.Similarly,the order of influence on cumulative oil production,from highest to lowest,is well spacing,porosity,permeability,CO_(2)injection rate,and hydraulic fracture conductivity.This paper analyzed the impact of geological and engineering parameters on CO_(2)flooding and oil production and provided insights to optimize CO_(2)injection strategies for enhanced oil recovery.展开更多
Marine organic-rich marl is not only a high-quality hydrocarbon source of conventional oil and gas,but also a new type and field of unconventional oil and gas exploration.An understanding of its pore structure evoluti...Marine organic-rich marl is not only a high-quality hydrocarbon source of conventional oil and gas,but also a new type and field of unconventional oil and gas exploration.An understanding of its pore structure evolution characteristics during a hydrocarbon generation process is theoretically significant and has application prospects for the exploration and development of this special type of natural gas reservoirs.This study conducted thermal simulation of hydrocarbon generation under near-geological conditions during a whole process for cylinder samples of low mature marine organic-rich marl in the Middle Devonian of Luquan,Yunnan Province,China.During this process,hydrocarbon products at different evolution stages were quantified and corresponding geochemical properties were analyzed.Simultaneously,field emission scanning electron microscopy(FE-SEM)and low-pressure gas adsorption(CO_(2),N_(2))tests were applied to the corresponding cylinder residue samples to reveal the mechanisms of different types of pore formation and evolution,and clarify the dynamic evolution processes of their pore systems.The results show that with an increase in temperature and pressure,the total oil yield peaks at an equivalent vitrinite reflectance(VR_(o))of 1.03%and is at the maximum retention stage of liquid hydrocarbons,which are 367.51 mg/g TOC and 211.67 mg/g TOC,respectively.The hydrocarbon gas yield increases continuously with an increase in maturity.The high retained oil rate at the peak of oil generation provides an abundant material basis for gas formation at high maturity and over-maturity stage.The lower limit of VR_(o)for organic matter(OM)pore mass development is about 1.6%,and bitumen pores,organic-clay complex pores together with intergranular pores,grain edge seams and dissolution pores constitute a complicated pore-seam-network system,which is the main reservoir space for unconventional carbonate gas.Pore formation and evolution are controlled synergistically by hydrocarbon generation,diagenesis and organic-inorganic interactions,and the pattern of pore structure evolution can be divided into four stages.A pore volume(PV)and a specific surface area(SSA)are at their highest values within the maturity range of 1.9%to 2.5%,which is conducive to exploring unconventional natural gas.展开更多
Membrane fouling is a persistent challenge in membrane-based technologies,significantly impacting efficiency,operational costs,and system lifespan in applications like water treatment,desalination,and industrial proce...Membrane fouling is a persistent challenge in membrane-based technologies,significantly impacting efficiency,operational costs,and system lifespan in applications like water treatment,desalination,and industrial processing.Foul-ing,caused by the accumulation of particulates,organic compounds,and microorganisms,leads to reduced permeability,increased energy demands,and frequent maintenance.Traditional fouling control approaches,relying on empirical models and reactive strategies,often fail to address these issues efficiently.In this context,artificial intelligence(AI)and machine learning(ML)have emerged as innovative tools offering predictive and proactive solutions for fouling man-agement.By utilizing historical and real-time data,AI/ML techniques such as artificial neural networks,support vector machines,and ensemble models enable accurate prediction of fouling onset,identification of fouling mechanisms,and optimization of control measures.This review provides a detailed examination of the integration of AI/ML in membrane fouling prediction and mitigation,discussing advanced algorithms,the role of sensor-based monitoring,and the importance of robust datasets in enhancing predictive accuracy.Case studies highlighting successful AI/ML applications across various membrane processes are presented,demonstrating their transformative potential in improving system performance.Emerging trends,such as hybrid modeling and IoT-enabled smart systems,are explored,alongside a criti-cal analysis of research gaps and opportunities.This review emphasizes AI/ML as a cornerstone for sustainable,cost-effective membrane operations.展开更多
Renewable energy storage technologies are critical for transitioning to sustainable energy systems,with salt caverns playing a significant role in large-scale solutions.In water-soluble mining of low-grade salt format...Renewable energy storage technologies are critical for transitioning to sustainable energy systems,with salt caverns playing a significant role in large-scale solutions.In water-soluble mining of low-grade salt formations,insoluble impurities and interlayers detach during salt dissolution and accumulate as sediment at the cavern base,thereby reducing the storage capacity and economic viability of salt cavern gas storage(SCGS).This study investigates sediment formation mechanisms,void distribution,and voidage in the Huai'an low-grade salt mine,introducing a novel self-developed physical simulation device for two butted-well horizontal(TWH)caverns that replicates compressed air injection and brine discharge.Experiments comparing“one injection and one discharge”and“two injections and one discharge”modes revealed that(1)compressed air effectively displaces brine from sediment voids,(2)a 0.5 MPa injection pressure corresponds to a 10.3 MPa operational lower limit in practice,aligning with field data,and(3)sediment voidage is approximately 46%,validated via air-brine interface theory.The“two injections and one discharge”mode outperformed in both discharge volume and rate.Additionally,a mathematical model for brine displacement via compressed air was established.These results provide foundational insights for optimizing compressed air energy storage(CAES)in low-grade salt mines,advancing their role in renewable energy integration.展开更多
This study examines the efficacy of Avicennia marina(AM)leaves as an environmentally sustainable biosorbent for the extraction of methylene blue(MB)dye from wastewater.A hybrid approach of Response Surface Methodology...This study examines the efficacy of Avicennia marina(AM)leaves as an environmentally sustainable biosorbent for the extraction of methylene blue(MB)dye from wastewater.A hybrid approach of Response Surface Methodology(RSM)and Artificial Neural Networks(ANN)was implemented to assess,optimize,and forecast biosorption effectiveness across different operating parameters.The experimental design employed a Central Composite Design(CCD)methodology,focusing on critical parameters including pH,initial dye concentration,temperature,and biosorbent dosage.The ideal biosorption parameters were identified as a temperature of 44.3℃,pH 7.1,a biosorbent dosage of 0.3 grams,and an initial dye concentration of 48.4 mg/L,resulting in a maximum removal efficiency of 84.26%.The ANN model exhibited significant prediction accuracy,so confirming its appropriateness for predicting and enhancing intricate biosorption processes.The findings underscore that AM leaves constitute a cost-efficient,plentiful,and ecologically sustainable resource for wastewater treatment purposes.Furthermore,the amalgamation of RSM and ANN shown significant efficacy in process optimization and forecasting.These findings provide significant insights into the advancement of eco-friendly solutions for the treatment of dye-contaminated water.Subsequent study must prioritize the amplification of the procedure for industrial applications,the execution of ongoing system assessments,and the evaluation of the enduring environmental and economic ramifications of utilizing AM leaves as a biosorbent.展开更多
Lignocellulosic biomass can be convert to a condensable liquid named bio-oil,a solid product named as char and a mixture of gaseous products comprising CO2,CO,H2,CH4,etc.In recent years,much effort has been made on th...Lignocellulosic biomass can be convert to a condensable liquid named bio-oil,a solid product named as char and a mixture of gaseous products comprising CO2,CO,H2,CH4,etc.In recent years,much effort has been made on the investigation of conversion of biomass through pyrolysis.However,commercialisation of the biomass pyrolysis technology is still challenging due to various issues such as the deleterious properties of bio-oil including the low heating value and the high instability at elevated temperatures.To overcome such issues,many processes,reactors and catalysts have been developed for pyrolysis and catalytic pyrolysis of biomass.A state to the art of pyrolysis or catalytic pyrolysis of biomass need to be summarised to have an overall evaluation of the technologies,in order to provide a useful reference for the further development of pyrolysis technology.This study reviews the various pyrolysis process,especially focus on the effects of essential parameters,the process design,the reactors and the catalysts on the pyrolysis process.In addition,progress in commercialisation of pyrolysis technology was also reviewed and the remaining issues in the process of commercialisation were discussed.展开更多
基金supported by the China Postdoctoral Science Foundation(No.2024M752803)the National Natural Science Foundation of China(No.52179112)the Open Fund of National Key Laboratory of Oil and Gas Reservoir Geology and Exploitation(Southwest Petroleum University)(No.PLN2023-02)。
文摘Geological storage and utilization of CO_(2)involve complex interactions among Thermo-hydromechanical-chemical(THMC)coupling processes,which significantly affect storage integrity and efficiency.To address the challenges in accurately simulating these coupled phenomena,this paper systematically reviews recent advances in the mathematical modeling and numerical solution of THMC coupling in CO_(2)geological storage.The study focuses on the derivation and structure of governing and constitutive equations,the classification and comparative performance of fully coupled,iteratively coupled,and explicitly coupled solution methods,and the modeling of dynamic changes in porosity,permeability,and fracture evolution induced by multi-field interactions.Furthermore,the paper evaluates the capabilities,application scenarios,and limitations of major simulation platforms,including TOUGH,CMG-GEM,and COMSOL.By establishing a comparative framework integrating model formulations and solver strategies,this work clarifies the strengths and gaps of current approaches and contributes to the development of robust,scalable,and mechanism-oriented numerical models for long-term prediction of CO_(2)behavior in geological formations.
基金United Arab Emirates University (UAE) for providing funding of this research undergrant # 12N097。
文摘Using sunlight to drive chemical reactions via photocatalysis is paramount for a sustainable future.Among several photocatalysts,employing layered double hydrides(LDH) for photocatalytic application is most straightforward and desirable owing to their distinctive two-dimensional(2D) lamellar structure and optical attributes.This article reviews the advancements in bimetallic/trimetallic LDHs and various strategies to achieve high efficiency toward an outstanding performing photocatalyst.Firstly,the tuning of LDH components that control the electro nic and structural properties is explained.The tu ning obtained through the adoption,combination,and incorporation of different cations and anions is also explained.The progress of modification methods,such as the adoption of different morphologies,delamination,and defect engineering towards enhanced photocatalytic activities,is discussed in the mainstream.The band engineering,structural characteristics,and redox tuning are further deliberated to maximize solar energy harvesting for different photocatalytic applications.Finally,the progress obtained in forming hierarchical heterostructures through hybridization with other semiconductors or conducting materials is systematically disclosed to get maximum photocatalytic performance.Moreover,the structural changes during the in-situ synthesis of LDH and the stability of LDH-based photocatalysts are deliberated.The review also summarizes the improvements in LDH properties obtained through modification tactics and discusses the prospects for future energy and environmental applications.
文摘Data-driven approaches and artificial intelligence(AI)algorithms are promising enough to be relied on even more than physics-based methods;their main feed is data which is the fundamental element of each phenomenon.These algorithms learn from data and unveil unseen patterns out of it The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology.As the oil and gas industry is in the transition phase to oilfield digitization,there has been an increased drive to integrate data-driven modeling and machine learning(ML)algorithms in different petroleum engineering challenges.ML has been widely used in different areas of the industry.Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry;however,lack of two main features is noticeable.Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable.Attention must be given to data itself and the way it is classified and stored.Although there are sheer volumes of data coming from different disciplines,they reside in departmental silos and are not accessible by consumers.In order to derive as much insight as possible out of data,the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.
文摘A key global challenge in the 21st century is how to secure sustainable access to energy for a growing global population—set to reach 10 billion by 2035—while coping with the threat of dangerous climate change.The oil and gas industry will still play an essential role in the energy transition by providing affordable and reliable energy to improve living conditions.Meanwhile,producing this energy with decreasing emissions supports a net-zero world.
文摘A new nanocomposite polymer gel is synthesized for reduction of excess water production in petroleum reservoirs at real operating conditions.This new nanocomposite gel contains SiO2 nanoparticles,partially hydrolyzed polyacrylamide(HPAM)and chromium triacetate.High pressure and high temperature tests using porous carbonate core are carried out to evaluate the effects of nanoparticles on the synthesized polymer gel performance.It is shown that the residual resistance factor ratio of water to oil using the synthesized polymer gel nanocomposite in this work is much higher than that of the ordinary polymer gels.The presented results confirm the high performance of the synthesized nanocomposite polymer gel for decreasing the water flow through porous carbonate bed.A mathematical model for description of oil and water flow behavior in the presence of synthesized nanocomposite polymer gel is also presented.The presented nano polymer gel leads to considerable cost saving in enhanced oil recovery(EOR)processes.
基金supported by Sharif University of Technology,Vice President for Research Grant G930111
文摘A successful design, previously adapted for treatment of complex wastewaters in a microbial fuel cell （MFC）, was used to fabricate two MFCs, with a few changes for cost reduction and ease of construction. Performance and electrochemical characteristics of MFCs were evaluated in different environmental conditions （in complete darkness and presence of light）, and different flow patterns of batch and continuous in four hydraulic retention times from 8 to 30 h. Changes in chemical oxygen demand, and nitrate and phosphate concentrations were evaluated. In contrast to the microbial fuel cell operated in darkness （D-MFC） with a stable open circuit voltage of 700 mV, presence of light led to growth of other species, and consecutively low and unsteady open circuit voltage. Although the performance of the MFC subjected to light （L-MFC） was quite low and unsteady in dynamic state （internal resistance = 100 Ω, power density = 5.15 W.m-3）. it reached power density of 9.2 W.m-3 which was close to performance of D-MFC （internal resistance = 50 d, power density = 10.3 W.m-3）. Evaluated only for D-MFC, the coulombic efficiency observed in batch mode （30%） was quite higher than the maximum acquired in continuous mode （9.6%） even at the highest hydraulic retention time. In this study, changes in phosphate and different types of nitrogen existing in dairy wastewater were investigated for the first time. At hydraulic retention time of 8 h, the orthophosphate concentration in effluent was 84% higher compared to influent. Total nitrogen and total Kjeldahl nitrogen were reduced 70% and 99% respectively at hydraulic retention time of 30 h, while nitrate and nitrite concentrations increased. The microbial electrolysis cell （MEC）, revamped from D-MEC, showed the maximum gas production of 0.2 m3 H2·m-3·d-1 at 700 mV applied voltage.
文摘Biomarker and stable carbon isotope analyses are presented for the Garau Formation of the Cretaceous Age,an important source rock in western Iran,to reveal its potential as an oilprone source rock.The C_(28)/C_(29)sterane ratio value range(0.72 to 0.83)of bitumen samples from the formation suggests that they were likely formed during phytoplankton blooms.Sterane,hopane,and isoprenoid/n-alkane ratios indicate that the formation's organic matter predominantly consists of algae,and bacteria,accompanied by some reworked material derived from higher plants.Due to the predominance of anoxic conditions and the actions of sulfate-reducing bacteria,the bitumen present is enriched with sulfur compounds.The percentages of saturates,aromatics,and nitrogen-sulfuroxygen(NSO)fractions in the bitumen samples classify them as naphthenic oils.Isotope analysis reveals that biodegradation and water-washing have reduced the concentrations of some volatile saturates and low molecular weight aromatics in the bitumen samples.These actions have resulted in distinctiveδ^(13)C values for the formation's kerogen and bitumen fractions.The formation's organic matter has been subjected to high-temperature thermal regimes and has entered the oil-generation window at the sampled localities,with vitrinite reflectance(%R_(C))varying between 0.7%and 0.75%.
文摘In recent years,smart materials have emerged as a groundbreaking innovation in the field of water filtration,offering sustainable,efficient,and environmentally friendly solutions to address the growing global water crisis.This review explores the latest advancements in the application of smart materials—including biomaterials,nanocomposites,and stimuli-responsive polymers—specifically for water treatment.It examines their effectiveness in detecting and removing various types of pollutants,including organic contaminants,heavy metals,and microbial infections,while adapting to dynamic environmental conditions such as fluctuations in temperature,pH,and pressure.The review highlights the remarkable versatility of these materials,emphasizing their multifunctionality,which allows them to address a wide range of water quality issues with high efficiency and low environmental impact.Moreover,it explores the potential of smart materials to overcome significant challenges in water purification,such as the need for real-time pollutant detection and targeted removal processes.The research also discusses the scalability and future development of these materials,considering their cost-effectiveness and potential for large-scale application.By aligning with the principles of sustainable development,smart materials represent a promising direction for ensuring global water security,offering both innovative solutions for current water pollution issues and long-term benefits for the environment and public health.
文摘This study investigates the potential of Prosopis cineraria Leaves Powder(PCLP)as a biosorbent for removing lead(Pb)and zinc(Zn)from aqueous solutions,optimizing the process using Response Surface Methodology(RSM).Prosopis cineraria,commonly known as Khejri,is a drought-resistant tree with significant promise in environmental applications.The research employed a Central Composite Design(CCD)to examine the independent and combined effects of key process variables,including initial metal ion concentration,contact time,pH,and PCLP dosage.RSM was used to develop mathematical models that explain the relationship between these factors and the efficiency of metal removal,allowing the determination of optimal operating conditions.The experimental results indicated that the Langmuir isotherm model was the most appropriate for describing the biosorption of both metals,suggesting favorable adsorption characteristics.Additionally,the D-R isotherm confirmed that chemisorption was the primary mechanism involved in the biosorption process.For lead removal,the optimal conditions were found to be 312.23 K temperature,pH 4.72,58.5 mg L-1 initial concentration,and 0.27 g biosorbent dosage,achieving an 83.77%removal efficiency.For zinc,the optimal conditions were 312.4 K,pH 5.86,53.07 mg L-1 initial concentration,and the same biosorbent dosage,resulting in a 75.86%removal efficiency.These findings highlight PCLP’s potential as an effective,eco-friendly biosorbent for sustainable heavy metal removal in water treatment.
文摘Stable HCl-crude oil emulsion and its subsequent sludge formation,with detrimental impacts on oil production,may stem from acid stimulation.One major ambiguity in this process is to discern the most influential component of crude oil on the stability of formed emulsions.This fundamental question has not adequately been addressed in previous studies.In this work,the impact of de-asphalted part of crude oil(maltene)has been investigated on the acid-induced emulsion and sludge separately.Accordingly,the emulsion phase separation and the amount of formed sludge have been compared for four crude oils and their maltene samples for different concentrations of ferric ion and acidic pH values.The results of phase separation,as a criterion for emulsion stability,showed that crude oil samples formed 6 to 25 percent more stable emulsions than maltene samples,when using blank HCl.The emulsions of maltene and spent acid(pH=2)broke completely during the first 15 min after emulsification.In addition,the maltene components usually had less contribution to sludge formation in the presence of blank HCl.It was concluded that asphaltene is the key component during interaction with HCl.However,the maltene of one crude sample formed higher acid sludge in comparison to its crude oil.For acid solutions containing 3000 ppm of ferric ion,the emulsion stability increased for all crude oil and maltene samples.Moreover,the stability of some maltene emulsions increased to 48%and 100%in the presence of 3000 ppm of ferric ions.The presence of ferric ions caused forming very stable emulsions,while most of the sludge formation took place at higher pH values.Finally,it was also attained that emulsion and sludge formations could happen simultaneously.
基金supported by the Natural Sciences and Engineering Research Council of Canada-Discovery Grant(Canada).
文摘Toluene is widely used as a raw material for many chemical products/pharmaceutical intermediates and as a solvent in many chemical and manufacturing industries.The conversion of toluene into higher value chemicals(benzyl alcohol,benzaldehyde,and benzoic acid,etc.)using sunlight is a very promising means.To achieve the full conversion and utilization of toluene,it is necessary to construct photocatalysts with high conversion and selectivity while synergistically optimizing the optimal reaction environment to significantly affect the photo-conversion of toluene.High-performance photocatalysts not only widely absorb sunlight,but also have abundant active sites and generation of free radicals,which can promote the chemical bonds cleavage of toluene,thus greatly increasing the yield of higher-valued products.In addition,the type of photocatalyst and the modification strategy would influence the selectivity of toluene photo-conversion.Therefore,it makes sense that this review presents the reaction mechanism and the influence of reaction factors for the(mainly)photo-oxidation of toluene,a thorough analysis and prediction of the reaction mechanism by theoretical calculations,and the toluene oxidation by different photocatalysts(in particular halogen-containing perovskite materials)to yield specific products,as well as photocatalysts’modifications.Finally,the challenges and prospects for designing efficient photocatalysts and optimizing the toluene oxidation reaction process are summarized.
文摘Global climate change has become one of the most pressing challenges of the 21st century.As anthropogenic CO_(2) emissions from fossil fuel consumption and industrial processes continue to disrupt Earth’s carbon cycle,atmospheric CO_(2) concentrations have reached unprecedented levels-exceeding 420 parts per million(ppm)in 2023 compared to pre-industrial 280 ppm.This rapid accumulation of greenhouse gases has resulted in measurable con-sequences including rising global temperatures,ocean acidifica-tion,and increased frequency of extreme weather events.
基金financially supported by ‘14th Five Years Plan-Systematic Evaluation of Carbon Footprint and Environmental Safety of Bamboo-based Plastic Substitute Products (Grant No. 2023YFD2202105)’‘14th Five Years Plan-Key Technology of Conversing Bamboo Wastes to New Carbonbased Materials (Grant No. 2022YFD2200904)’+2 种基金‘Basic Scientific Research Funds of International Centre for Bamboo and Rattan (Grant No. 1632023003)’‘Science and Technology Planning Project of Nanping City (Grant No. N2022B007)’financial support from the China Scholarship Council.
文摘Controlling efficient interfacial charge transfer is crucial for developing advanced photocatalysts.This study successfully developed a bifunctional photocatalyst with an S-scheme heterojunction by incorporating ReS_(2) into the Zn_(3)In_(2)S_(6)(ZIS)nanoflower structure,enabling the organic pollutants degradation and synergistic hydrogen production.The optimized ZIS/ReS_(2)-1%exhibited exceptional photocatalytic efficiency,reaching a 97.7%degradation rate of ibuprofen(IBP)within 2 h,along with a hydrogen generation rate of 1.84 mmol/g/h.The degradation efficiency and hydrogen generation rate were 1.78 and 5.75 times greater than those of Zn_(3)In_(2)S_(6),respectively.Moreover,ZIS/ReS_(2)-1%demonstrated excellent catalytic degradation abilities for various organic pollutants such as ciprofloxacin,amoxicillin,norfloxacin,levofloxacin,ofloxacin,sulfamethoxazole,and tetracycline,while also showing good synergistic hydrogen production efficiency.Electron spin resonance and radical scavenging experiments verified that h+,·O^(2)-,and @·OH were the primary reactive species responsible for IBP degradation.The superior photocatalytic performance of the ZIS/ReS_(2)-1%was mainly attributed to its broad and intense absorption of visible light,effective separation of charge carriers,and enhanced redox capabilities.The degradation pathway of IBP was unveiled through Fukui function and liquid chromatography-mass spectrometry,and the toxicity of the degradation intermediates was also examined.In-situ XPS and density functional theory(DFT)calculations confirmed the existence of S-scheme heterojunction.This study provided a new pathway for simultaneously achieving organic pollutant treatment and energy conversion.
基金financially supported by the National Natural Science Foundation of China(No.U20B6003)the China Scholarship Council(No.202306440015)a project of the China Petroleum&Chemical Corporation(No.P22174)。
文摘The hybrid CO_(2) thermal technique has achieved considerable success globally in extracting residual heavy oil from reserves following a long-term steam stimulation process.Using microscopic visualization experiments and molecular dynamics(MD)simulations,this study investigates the microscopic enhanced oil recovery(EOR)mechanisms underlying residual oil removal using hybrid CO_(2) thermal systems.Based on the experimental models for the occurrence of heavy oil,this study evaluates the performance of hybrid CO_(2) thermal systems under various conditions using MD simulations.The results demonstrate that introducing CO_(2) molecules into heavy oil can effectively penetrate and decompose dense aggregates that are originally formed on hydrophobic surfaces.A stable miscible hybrid CO_(2) thermal system,with a high effective distribution ratio of CO_(2),proficiently reduces the interaction energies between heavy oil and rock surfaces,as well as within heavy oil.A visualization analysis of the interactions reveals that strong van der Waals(vdW)attractions occur between CO_(2) and heavy oil molecules,effectively promoting the decomposition and swelling of heavy oil.This unlocks the residual oil on the hydrophobic surfaces.Considering the impacts of temperature and CO_(2) concentration,an optimal gas-to-steam injection ratio(here,the CO_(2):steam ratio)ranging between 1:6 and 1:9 is recommended.This study examines the microscopic mechanisms underlying the hybrid CO_(2) thermal technique at a molecular scale,providing a significant theoretical guide for its expanded application in EOR.
基金supported by the China Postdoctoral Science Foundation(No.2024M752803)the National Natural Science Foundation of China(No.52179112)+1 种基金the Open Fund of National Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,China(No.PLN2023-02)the Open Fund of Key Laboratory of Deep Geothermal Resources,Ministry of Natural Resources of the People's Republic of China(No.KLDGR2024B01).
文摘Comprehensive studies on CO_(2)breakthrough times and flooding effects are crucial for optimizing CO_(2)flooding strategies.This study utilized numerical simulations to investigate the effects of hydraulic fractures,permeability,and CO_(2)injection rates on CO_(2)breakthrough times and cumulative oil production.Nonlinear relationships among the respective variables were established,with Sobol method analysis delineating the dominant control factors.The key findings indicate that although hydraulic fracturing shortens CO_(2)breakthrough time,it concurrently enhances cumulative oil production.The orientation of hydraulic fractures emerged as a pivotal factor influencing flooding effectiveness.Furthermore,lower permeability corresponds to lower initial oil production,while higher permeability corresponds to higher initial daily oil production.When reservoir permeability is 1 mD,oil production declines at 1000 days,and at 2 mD,it declines at 700 days.At a surface CO_(2)injection rate of 10,000 m^(3)/d,the daily oil production of a single well is approximately 7.5 m^(3),and this value remains relatively stable over time.The hierarchical order of influence on CO_(2)breakthrough and rapid rise times,from highest to lowest,is permeability,well spacing,CO_(2)injection rate,porosity,and hydraulic fracture conductivity.Similarly,the order of influence on cumulative oil production,from highest to lowest,is well spacing,porosity,permeability,CO_(2)injection rate,and hydraulic fracture conductivity.This paper analyzed the impact of geological and engineering parameters on CO_(2)flooding and oil production and provided insights to optimize CO_(2)injection strategies for enhanced oil recovery.
基金supported by the National Natural Science Foundation of China(Grant No.41930426)。
文摘Marine organic-rich marl is not only a high-quality hydrocarbon source of conventional oil and gas,but also a new type and field of unconventional oil and gas exploration.An understanding of its pore structure evolution characteristics during a hydrocarbon generation process is theoretically significant and has application prospects for the exploration and development of this special type of natural gas reservoirs.This study conducted thermal simulation of hydrocarbon generation under near-geological conditions during a whole process for cylinder samples of low mature marine organic-rich marl in the Middle Devonian of Luquan,Yunnan Province,China.During this process,hydrocarbon products at different evolution stages were quantified and corresponding geochemical properties were analyzed.Simultaneously,field emission scanning electron microscopy(FE-SEM)and low-pressure gas adsorption(CO_(2),N_(2))tests were applied to the corresponding cylinder residue samples to reveal the mechanisms of different types of pore formation and evolution,and clarify the dynamic evolution processes of their pore systems.The results show that with an increase in temperature and pressure,the total oil yield peaks at an equivalent vitrinite reflectance(VR_(o))of 1.03%and is at the maximum retention stage of liquid hydrocarbons,which are 367.51 mg/g TOC and 211.67 mg/g TOC,respectively.The hydrocarbon gas yield increases continuously with an increase in maturity.The high retained oil rate at the peak of oil generation provides an abundant material basis for gas formation at high maturity and over-maturity stage.The lower limit of VR_(o)for organic matter(OM)pore mass development is about 1.6%,and bitumen pores,organic-clay complex pores together with intergranular pores,grain edge seams and dissolution pores constitute a complicated pore-seam-network system,which is the main reservoir space for unconventional carbonate gas.Pore formation and evolution are controlled synergistically by hydrocarbon generation,diagenesis and organic-inorganic interactions,and the pattern of pore structure evolution can be divided into four stages.A pore volume(PV)and a specific surface area(SSA)are at their highest values within the maturity range of 1.9%to 2.5%,which is conducive to exploring unconventional natural gas.
文摘Membrane fouling is a persistent challenge in membrane-based technologies,significantly impacting efficiency,operational costs,and system lifespan in applications like water treatment,desalination,and industrial processing.Foul-ing,caused by the accumulation of particulates,organic compounds,and microorganisms,leads to reduced permeability,increased energy demands,and frequent maintenance.Traditional fouling control approaches,relying on empirical models and reactive strategies,often fail to address these issues efficiently.In this context,artificial intelligence(AI)and machine learning(ML)have emerged as innovative tools offering predictive and proactive solutions for fouling man-agement.By utilizing historical and real-time data,AI/ML techniques such as artificial neural networks,support vector machines,and ensemble models enable accurate prediction of fouling onset,identification of fouling mechanisms,and optimization of control measures.This review provides a detailed examination of the integration of AI/ML in membrane fouling prediction and mitigation,discussing advanced algorithms,the role of sensor-based monitoring,and the importance of robust datasets in enhancing predictive accuracy.Case studies highlighting successful AI/ML applications across various membrane processes are presented,demonstrating their transformative potential in improving system performance.Emerging trends,such as hybrid modeling and IoT-enabled smart systems,are explored,alongside a criti-cal analysis of research gaps and opportunities.This review emphasizes AI/ML as a cornerstone for sustainable,cost-effective membrane operations.
基金financial support from the National Key Research and Development Program of China(No.2024YFB4007100)the Basic ForwardLooking Project of the Sinopec Science and Technology Department,“Research on the Long-Term Sealing Mechanism of Multi-layer Salt Cavern Hydrogen Storage”(No.P24197-4)。
文摘Renewable energy storage technologies are critical for transitioning to sustainable energy systems,with salt caverns playing a significant role in large-scale solutions.In water-soluble mining of low-grade salt formations,insoluble impurities and interlayers detach during salt dissolution and accumulate as sediment at the cavern base,thereby reducing the storage capacity and economic viability of salt cavern gas storage(SCGS).This study investigates sediment formation mechanisms,void distribution,and voidage in the Huai'an low-grade salt mine,introducing a novel self-developed physical simulation device for two butted-well horizontal(TWH)caverns that replicates compressed air injection and brine discharge.Experiments comparing“one injection and one discharge”and“two injections and one discharge”modes revealed that(1)compressed air effectively displaces brine from sediment voids,(2)a 0.5 MPa injection pressure corresponds to a 10.3 MPa operational lower limit in practice,aligning with field data,and(3)sediment voidage is approximately 46%,validated via air-brine interface theory.The“two injections and one discharge”mode outperformed in both discharge volume and rate.Additionally,a mathematical model for brine displacement via compressed air was established.These results provide foundational insights for optimizing compressed air energy storage(CAES)in low-grade salt mines,advancing their role in renewable energy integration.
文摘This study examines the efficacy of Avicennia marina(AM)leaves as an environmentally sustainable biosorbent for the extraction of methylene blue(MB)dye from wastewater.A hybrid approach of Response Surface Methodology(RSM)and Artificial Neural Networks(ANN)was implemented to assess,optimize,and forecast biosorption effectiveness across different operating parameters.The experimental design employed a Central Composite Design(CCD)methodology,focusing on critical parameters including pH,initial dye concentration,temperature,and biosorbent dosage.The ideal biosorption parameters were identified as a temperature of 44.3℃,pH 7.1,a biosorbent dosage of 0.3 grams,and an initial dye concentration of 48.4 mg/L,resulting in a maximum removal efficiency of 84.26%.The ANN model exhibited significant prediction accuracy,so confirming its appropriateness for predicting and enhancing intricate biosorption processes.The findings underscore that AM leaves constitute a cost-efficient,plentiful,and ecologically sustainable resource for wastewater treatment purposes.Furthermore,the amalgamation of RSM and ANN shown significant efficacy in process optimization and forecasting.These findings provide significant insights into the advancement of eco-friendly solutions for the treatment of dye-contaminated water.Subsequent study must prioritize the amplification of the procedure for industrial applications,the execution of ongoing system assessments,and the evaluation of the enduring environmental and economic ramifications of utilizing AM leaves as a biosorbent.
基金University of Tabriz for their supportsupported by the Strategic International Scientific and Technological Innovation Cooperation Special Funds of National Key R&D Program of China(No.2016YFE0204000)+2 种基金the Program for Taishan Scholars of Shandong Province Government,the Recruitment Program of Global Young Experts(Thousand Youth Talents Plan)the Natural Science Foundation of Shandong Province(ZR2017BB002)the Key R&D Program of Shandong Province(2018GSF116014)
文摘Lignocellulosic biomass can be convert to a condensable liquid named bio-oil,a solid product named as char and a mixture of gaseous products comprising CO2,CO,H2,CH4,etc.In recent years,much effort has been made on the investigation of conversion of biomass through pyrolysis.However,commercialisation of the biomass pyrolysis technology is still challenging due to various issues such as the deleterious properties of bio-oil including the low heating value and the high instability at elevated temperatures.To overcome such issues,many processes,reactors and catalysts have been developed for pyrolysis and catalytic pyrolysis of biomass.A state to the art of pyrolysis or catalytic pyrolysis of biomass need to be summarised to have an overall evaluation of the technologies,in order to provide a useful reference for the further development of pyrolysis technology.This study reviews the various pyrolysis process,especially focus on the effects of essential parameters,the process design,the reactors and the catalysts on the pyrolysis process.In addition,progress in commercialisation of pyrolysis technology was also reviewed and the remaining issues in the process of commercialisation were discussed.
