Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference50 articles.
1. Prediction of hydrate formation temperature using gene expression programming;Amar;J. Nat. Gas Sci. Eng.,2021
2. Prediction of CO2 diffusivity in brine using white-box machine learning;Amar;J. Petrol. Sci. Eng.,2020
3. Modeling the thermal conductivity of ionic liquids and ionanofluids based on a group method of data handling and modified Maxwell model;Atashrouz;Ind. Eng. Chem. Res.,2015
4. A novel approach for modeling and optimization of surfactant/polymer flooding based on Genetic Programming evolutionary algorithm;Bahrami;Fuel,2016
5. Rock Eval™, total organic carbon, isotherms and organic petrography of the Colorado Group: shale gas data release;Beaton;Energy Resour. Conserv. Board, ERCB/AGS Open File Rep.,2008
Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Machine learning - based shale wettability prediction: Implications for H2, CH4 and CO2 geo-storage;International Journal of Hydrogen Energy;2024-02
2. Gas production decline trends for Longmaxi shale under thermally stimulated conditions;Geoenergy Science and Engineering;2024-02
3. Machine learning method for shale gas adsorption capacity prediction and key influencing factors evaluation;Physics of Fluids;2024-01-01
4. Gas storage in shale pore system: A review of the mechanism, control and assessment;Petroleum Science;2023-10
5. On the evaluation of the carbon dioxide solubility in polymers using gene expression programming;Scientific Reports;2023-08-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3