Modeling of methane and carbon dioxide sorption capacity in tight reservoirs using Machine learning techniques
Author:
Publisher
Elsevier BV
Subject
Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Reference74 articles.
1. R. Aguilera Unconventional gas and tight oil exploitation. SPE Richardson. 2018.
2. Optuna: A next-generation hyperparameter optimization framework;Akiba,2019
3. Machine learning framework for estimating CO2 adsorption on coalbed for carbon capture, utilization, and storage applications;Alanazi;Int J Coal Geol,2023
4. K. Arunachalam Adsorption and migration mechanisms of methane and carbon dioxide in gas shales at pore scale. 2021.
5. Modelling of adsorption of methane, nitrogen, carbon dioxide, their binary mixtures, and their ternary mixture on activated carbons using artificial neural network;Barki;Kemija u industriji: Časopis kemičara i kemijskih inženjera Hrvatske,2019
Cited by 6 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. Modeling wax disappearance temperature using robust white-box machine learning;Fuel;2024-11
2. Utilizing Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure in Carbon Capture and Utilization Processes: A Comprehensive Review and Applications;Energy & Fuels;2024-07-25
3. CO2 injection-based enhanced methane recovery from carbonate gas reservoirs via deep learning;Physics of Fluids;2024-06-01
4. Studies into confined methane adsorption in shale nanopores using a simplified local density model;Chemical Engineering Journal;2024-05
5. New Models for Predicting Co2 Diffusion Coefficient in Brine at High Pressure (100 Mpa) and Temperature (T = 673°K) by Artificial Intelligence ─ Implications for Co2 Sequestration in Deep Saline Aquifers;2024
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