Gas Science and Engineering最新文献

{"title":"An elasto-plastic damage model to investigate the wellbore failure under cyclic load of drill string","authors":"Hadi Haghgouei ,&nbsp;Alexandre Lavrov ,&nbsp;Anders Nermoen","doi":"10.1016/j.jgsce.2025.205607","DOIUrl":"10.1016/j.jgsce.2025.205607","url":null,"abstract":"<div><div>During drilling operations, the drill string often undergoes vibrations, imposing cyclic loading on the wellbore walls. Such cyclic loads can potentially lead to wellbore failure due to fatigue, i.e. the gradual reduction of rock strength due to repeated loading at stresses below failure strength. While instances of wellbore failure due to vibration-induced loads from the drill string have been reported, research in this area remains limited. This paper introduces an elasto-plastic damage model designed to assess rock failure under cyclic loading. The Drucker-Prager elasto-plastic model with nonlinear hardening served as the foundational framework for the computational analysis. Additionally, a coupled damage model was proposed to simulate material strength degradation under cyclic loading. This customized elasto-plastic model, along with the coupled damage model, was implemented as a user-defined subroutine in Abaqus. The accuracy of the model is verified using existing experimental fatigue test data from the literature, demonstrating a good agreement between the predictions of the proposed model and the experimental findings. Utilizing this validated model, the impact of drill string vibrations on wellbore stability is further investigated. The findings underscore the significance of accounting for the repetitive impacts of the drill string, as they weaken the material strength. Relying solely on assessments of wellbore stability without considering the drill string impact seems to be overly optimistic. Notably, drill string vibrations result in damage localization around the wellbore, leading to the formation of localized bands. These bands eventually intersect, culminating in wellbore failure. The introduced elasto-plastic damage model offers a robust tool for evaluating rock fatigue failure.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205607"},"PeriodicalIF":0.0,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CO2 separation from gas mixtures using metal organic frameworks-based mixed matrix membranes: A comprehensive review","authors":"Imtiaz UL Hasan ,&nbsp;Amal Ben Othmen ,&nbsp;Sagheer A. Onaizi","doi":"10.1016/j.jgsce.2025.205604","DOIUrl":"10.1016/j.jgsce.2025.205604","url":null,"abstract":"<div><div>The main cause of climate change and global warming is the rising atmospheric CO₂ concentration. Although there are potentially several techniques for tackling CO₂ separation from gas mixtures, membrane technology is one of the most promising techniques because of its ease of use, affordability, and energy efficiency. However, the characteristics of the membrane material have a significant impact on how well CO₂ membrane separation works. Recently, metal organic frameworks (MOFs) have emerged as attractive materials for fabricating membranes with high CO₂ permeability and selectivity. However, comprehensive and up-to-date reviews on this topic are still limited in the published literature, highlighting that this review is timely and of great need. In this article, the manufacturing processes, difficulties, and developments of MOF-based mixed matrix membranes (MMMs) for CO₂ separation are thoroughly covered in this paper. Recent research shows that by including MOFs into polymeric matrix, the drawbacks of traditional membranes can be overcome and thermal stability, chemical resistance, and separation performance greatly improved. Critical evaluation is given to the impact of process variables as well as the thermal and chemical stability of MOFs-based membranes. This article also evaluates the energy consumption and the environmental impact of CO₂ separation using MOFs-based membranes. Issues such as economic aspects of MOFs synthesis and membrane fabrication, scalability, and long-term durability are highlighted and future research to address them has been suggested to push this technology a step closer towards practical applications. This study also highlights the enormous potential of MMMs fabricated using MOFs as an environmentally friendly way to effectively separate CO₂.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205604"},"PeriodicalIF":0.0,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of the injection-production process of underground gas storage in depleted gas reservoir","authors":"Haibin Chang ,&nbsp;Tangkun Duo ,&nbsp;Bei Li ,&nbsp;Kai Wen ,&nbsp;Tao Meng ,&nbsp;Chenbing Bai ,&nbsp;Hongwei Zhang","doi":"10.1016/j.jgsce.2025.205605","DOIUrl":"10.1016/j.jgsce.2025.205605","url":null,"abstract":"<div><div>In this work, a framework is proposed for optimizing the injection-production process of underground gas storage in depleted gas reservoir. The optimization problem is formulized as a minimization problem with multiple constraints. The objective function is defined with respect to the pressure change. And, the constraints are introduced with respect to the injection (or production) amount, injection (or production) rate, and reservoir pressure. Spatial allocation coefficients and temporal allocation coefficients are introduced as the control variables. Ensemble-based minimization method is adopted for updating the control variables. The Brugge model is modified as a depleted gas reservoir for testing the proposed method. Both one-month and multi-month injection (or production) optimizations are investigated. Through minimizing the defined objective function, the proposed method can provide the optimized injection (or production) plan for all of the wells, and can identify the wells that are not recommended for use. Based on the reservoir pressure constraints, the feasibility of different injection (or production) target within a given time period for an underground gas storage site can be evaluated. The proposed method can be helpful for the safe and intelligent operation of underground gas storage.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205605"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adsorption behavior of hydrogen on the surface of pipeline steel: A molecular dynamics simulation and mechanistic study","authors":"Zhenmin Luo ,&nbsp;Wei He ,&nbsp;Xi Yang ,&nbsp;Ruikang Li ,&nbsp;Jiang Zhang","doi":"10.1016/j.jgsce.2025.205603","DOIUrl":"10.1016/j.jgsce.2025.205603","url":null,"abstract":"<div><div>With the large-scale application of hydrogen energy and the development of the hydrogen economy, the use of existing natural gas pipelines for hydrogen transport has become an important solution for clean energy. However, under high-pressure conditions, hydrogen may induce hydrogen embrittlement, threatening the structural integrity of pipelines. In this study, using the Materials Studio software and molecular dynamics simulations, a multilayer adsorption model for hydrogen molecules on the iron (110) surface was established, and the effects of adsorption energy, temperature, and pressure on the hydrogen adsorption process were analyzed. The results show that the adsorption energy of hydrogen molecules on the iron surface increases with pressure, leading to significantly improved adsorption stability. In contrast, as the temperature increases, the adsorption energy also rises, but the adsorption stability decreases, with some hydrogen molecules desorbing from the surface. Through radial distribution function (RDF) and hydrogen molecule trajectory analysis, this study proposed a model for calculating hydrogen adsorption amounts, which was experimentally validated for accuracy. When fitting the Freundlich and Temkin adsorption isotherms, the following key parameters were obtained: KF = 64.6 mm⁻², n = 1.39 for the Freundlich model, and A = 0.335, B = 8.6 × 10¹⁰ for the Temkin model. These quantitative results provide a thorough theoretical analysis of hydrogen adsorption behavior on the iron surface and offer a reliable scientific basis for the safe transportation of hydrogen through natural gas pipelines.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205603"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A data-driven prediction of residual carbon dioxide under different porous media structures","authors":"Eric Richard Shanghvi,&nbsp;Qingbang Meng,&nbsp;Elieneza Nicodemus Abelly,&nbsp;Christopher N. Mkono","doi":"10.1016/j.jgsce.2025.205602","DOIUrl":"10.1016/j.jgsce.2025.205602","url":null,"abstract":"<div><div>The capture and storage of carbon dioxide has been the most prevalent method on mitigating CO₂ emissions in the atmosphere caused by global energy demands so as to combat climate change and global warning. Deep saline formations provide a vast area for underground storage of carbon dioxide by which immobile gas can be stored permanently through residual trapping. Residual trapping renders CO₂ immobile in form of clusters under equilibrium conditions within the pore spaces. Pore network modeling and machine learning techniques have been applied to further investigate the influence of porous media structural properties on residual gas trapping. Multiphase flow behavior in CO₂ – brine systems was investigated on 28 porous media samples representing sandstone, carbonates and sandpacks. The porous media information was extracted from Micro CT images of these samples to create pore networks and obtain structural properties. The porous media structural properties and simulation results were used as input data for machine learning models. SVM and XGBoost were deployed to predict residual saturation and classify the rock structures on their trapping potential. Pore size and throat size distribution, pore – throat ratio and connectivity impacted the fluid transport behavior within the porous media. High capillary pressure was observed in samples with small pores and throats distributed non-uniformly in the media such as sandstone and carbonates. Higher residual trapping was observed in larger pore-throat ratios which is conducive for snapoff events. The more the connectivity in the porous media, less trapping was observed as connectivity affects the ability of fluid to escape the media from one end to the other. The prediction of residual carbon dioxide was successful for both machine learning models with XGBoost model performing better than SVR in regression with a correlation coefficient of 0.97. Residual CO₂ saturation was classified into high (&gt;0.5) and low (&lt;0.5) to create a binary classification on which XGBoost performed better than SVC with a 100 % accuracy. Saturation data showed to have less impact in both regression and classification in machine learning whereas the structural properties showed more contribution to successful predictions with connectivity significantly affecting the machine learning performance.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205602"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveil the influence of porous media heterogeneity on fluid flow and solute transport","authors":"Yulong Zhao ,&nbsp;Haishi Bai ,&nbsp;Zuhao Kou ,&nbsp;Zhuoting Chen ,&nbsp;Liehui Zhang ,&nbsp;Shaomu Wen ,&nbsp;Zhenglin Cao","doi":"10.1016/j.jgsce.2025.205601","DOIUrl":"10.1016/j.jgsce.2025.205601","url":null,"abstract":"<div><div>Heterogeneity in porous mediums is a common occurrence in natural rock formations, impacting the movement of fluids and solutes within them. This research systematically explores the influence of such heterogeneity on fluid flow and solute transport. An analytical solution is developed for fluid flow within a dual-porous mediums system by integrating the Darcy-Brinkman equation coupled with shear stress and velocity continuity conditions at the porous media interface. Utilizing asymptotic analysis and perturbation methods, analytical solutions for the dispersion coefficient of both porous media are derived and validated against existing literature. Furthermore, advection-diffusion equations are numerically solved to obtain the solute concentration profile, shedding light on its transport within heterogeneous porous mediums.</div><div>The simulations reveal intriguing behaviors: as the permeability factor, <em>λ</em>_D, approaches 100, velocities in both mediums tend towards zero, contrasting with a parabolic velocity profile when <em>λ</em>_D reaches 0.01. The impact of the surrounding porous medium permeability factor, <em>λ</em>_2D, on the dispersion coefficient of main porous medium, <span><math><mrow><msubsup><mi>D</mi><mrow><mn>1</mn><mi>D</mi></mrow><mo>∗</mo></msubsup></mrow></math></span>, is negligible when the Péclet number (<em>Pe</em>) is below 1, yet it exhibits variability with <em>λ</em>_2D for <em>Pe</em> greater than 1. The concentration difference between the two porous mediums is minimal at <em>x</em>_D &lt; 2 for most instances but notably pronounced around <em>x</em>_D = 4 initially, followed by rapid attenuation. This highly generalized model not only captures solute transport in the presence of porous mediums heterogeneity but also can be simplified to represent scenarios such as a permeable channel surrounded by impermeable mediums or even the classical Taylor-Aris model.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205601"},"PeriodicalIF":0.0,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Double cations modified clinoptilolite enhancing the adsorption separation of CH4 and N2","authors":"Xiangyang Liu ,&nbsp;Peiji Wang ,&nbsp;Shaoxuan Huang ,&nbsp;Daquan Wang ,&nbsp;Waheed Afzal ,&nbsp;Maogang He","doi":"10.1016/j.jgsce.2025.205594","DOIUrl":"10.1016/j.jgsce.2025.205594","url":null,"abstract":"<div><div>Coal bed methane is an important supplement to natural gas, but its application is constrained by low CH₄ concentration. Zeolite is most promising adsorbent for coal bed methane purification, its adsorption and separation performance still need to be further improved. In terms of this issue, we successfully synthesized a Na⁺ and Ag⁺ double cations modified clinoptilolite inspired by that Na ⁺ had an enhancing effect on N₂ adsorption capacity of clinoptilolite, while Ag ⁺ had a negative effect on CH₄ adsorption capacity. The elemental composition and morphology of the cation exchanged clinoptilolite were characterized by SEM, EDS, XRD and BET method. Adsorption capacity of CH₄ and N₂ were measured by saturation method and isothermal adsorption lines were plotted using the Langmuir-Freundlich model. The results show that the double cations modification can bring both the modification effect of two cations, in which Na ⁺ improves N₂ adsorption and Ag ⁺ reduces CH₄ adsorption. It leads to a great improvement in the separation performance of clinoptilolite. The N₂/CH₄ adsorption selectivity and the N₂ adsorption capacity of the cation exchanged clinoptilolite reaches 9.17 and 0.33 mmol/g at 0.1 MPa, respectively. We successfully combined the modifying effects of Na⁺ and Ag⁺ on clinoptilolite, resulting in better gas separation performance compared to a single cation-modified clinoptilolite.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205594"},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143609374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing CO2 trapping in saline aquifers under geological uncertainty: A case study of the Rio Bonito Formation, Brazil","authors":"Amin Izadpanahi ,&nbsp;Paulo Ranazzi ,&nbsp;Richardson M. Abraham-A ,&nbsp;Colombo Celso Gaeta Tassinari ,&nbsp;Marcio Augusto Sampaio","doi":"10.1016/j.jgsce.2025.205593","DOIUrl":"10.1016/j.jgsce.2025.205593","url":null,"abstract":"<div><div>Saline aquifers in subsurface geologic structures have the potential for permanent CO₂ storage. Injecting CO₂ into such formations; however, does not ensure safe storage because CO₂ could leak to the surface or pollute the formation water. The current study presents the methodology used to study structural, residual, and solubility trapping to propose an operational strategy for efficient CO₂ storage in the sandstone saline aquifers in the Paraná basin, Brazil. Three models were developed from various sections of the Rio Bonito Formation, each characterized by different depths and distinct reservoir properties. In the optimization process, geological uncertainties were addressed by using representative samples obtained from a set of unconditional realizations. In addition, robust optimization aimed to find an optimal solution across uncertainties for WAG and brine production. Preliminary findings suggest that brine production enhances reservoir injectivity, while WAG injection alters trapping mechanisms, increasing dissolved and residual trapping by around 15%. Moreover, WAG injection decreases the vertical migration of the CO₂ plume and reduces the reliance of the process on structural trapping. Robust optimization significantly increases cumulative CO₂ trapping by adjusting the water and gas injection periods and water production and injection rates. Sensitivity analysis indicates that increasing the gas injection period boosts cumulative trapping but lowers the trapping ratio, whereas increasing the water injection period has the opposite effect. Based on the cost analysis, shallow depths offer the lowest levelized cost and reinjection cost, making them the most economically viable option for CO₂ storage. To the authors' knowledge, this research marks a novel contribution to dynamic simulations of CCS projects, focusing specifically on the Rio Bonito Formation, Brazil. It offers a thorough examination of trapping processes, capacity estimation, management approaches, uncertainty assessments economic analysis and geochemical modelling, creating a valuable foundation for future studies.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205593"},"PeriodicalIF":0.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studies on the CO2 sequestration, geothermal energy upgrade and valuable minerals recovery via the agent-assisting geologic CO2 carbonation","authors":"Mingwei Ouyang ,&nbsp;Lei Wu ,&nbsp;Zhe Sun ,&nbsp;Yan Cao","doi":"10.1016/j.jgsce.2025.205592","DOIUrl":"10.1016/j.jgsce.2025.205592","url":null,"abstract":"<div><div>The significant disparity between carbon emissions and forest carbon sinks drives China's efforts on CO₂ sequestration to achieve carbon neutrality. However, long-term CO₂ leakage and economic uncertainty remain the limiting factors. “Geologic agent-assisted carbonation” is an emerging technology that converts CO₂ into stable geological carbonate while recovering the exothermic heat energy, nickel and cobalt. This study demonstrated that the geologic agent-assisted carbonation processes could enhance permeability, reaction surface area, and rock porosity, achieving a similar effect as the CO₂ phase transition jetting, thus accelerating the reaction process. A novel application of experimental data and simulation models is employed to forecast that geologic agent-assisted carbonation can significantly increase reservoir temperatures and CO₂ sequestration rates, particularly in low-temperature conditions. The results indicate that, when both the initial peridotite formation and the injection fluid temperature are both 90 °C (low-temperature geothermal grade), the average temperature of the peridotite increases to 150.2 °C (high-temperature geothermal grade) after 2 years, with an annual average of 64,000 tons of CO₂ sequestered. Each ton of sequestration, under the conditions simulated in this study (e.g., low-temperature geothermal grade and specific rock formations), can yield economic benefits ranging from $122.7 to $193.3. The heat and mineral production from this process offer profitable compensation for the consumption in the Carbon Capture, Utilization, and Storage projects.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205592"},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of spatial monitoring of geological carbon storage using InSAR","authors":"Yunan Li ,&nbsp;Pieter B. Leezenberg ,&nbsp;Anthony R. Kovscek","doi":"10.1016/j.jgsce.2025.205591","DOIUrl":"10.1016/j.jgsce.2025.205591","url":null,"abstract":"<div><div>We evaluate and assess an (Interferometric Synthetic Aperture Radar) InSAR-based surveillance approach for Geological Carbon Storage (GCS) to demonstrate the potential use of satellite images to monitor a project in Kern County, California. The scope includes identification of appropriate subsurface and surface conditions for success, and presentation of the recoverable information from InSAR. This field case is found to be an ideal candidate due to its surface condition, with little vegetation and stable baseline measurements. Numerical simulation predicts that the land uplift rates during the GCS project range from 3.52 to 24.10 mm/y due to carbon dioxide injection considering geomechanical uncertainties. The net surface displacement ranges from 3.27 to 31.85 mm. The spatial and vertical resolution of the observational data fulfills requirements for monitoring of GCS projects. We conduct a sensitivity study to identify the impactful factors for land surface deformation. The challenges of the complex response dataset motivate extension of the capability of a distance-based generalized sensitivity analysis method, using principal component analysis and autoencoders to extract essential features and reduce data dimensionality. In general, the satellite images recover information regarding rock mechanics and field operation parameters. Complex, time-series satellite images allow us to infer a more complete set of parameters; however, the magnitude of land movement recovers limited information, that includes storage formation Young's modulus and injection rate. An InSAR-based monitoring approach is promising for this field case due to the large detectability area of net surface displacement in the land surface focus region.</div></div>","PeriodicalId":100568,"journal":{"name":"Gas Science and Engineering","volume":"138 ","pages":"Article 205591"},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}