Estimation of natural gas compressibility factors using artificial neural network approach
Author:
Publisher
Elsevier BV
Subject
Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference44 articles.
1. Second and third virial coefficients for (methane + nitrogen)
2. Refractive index and density isotherms for methane from 273 to 373 K and at pressures up to 34 MPa
3. Internal combustion engines fueled by natural gas?hydrogen mixtures
4. The Prediction of the Compressibility Factor of Sour and Natural Gas by an Artificial Neural Network System
Cited by 41 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. Study on the long-term airtightness of salt cavern gas storage considering the permeability variation of surrounding rock;Computers and Geotechnics;2024-04
2. Artificial Intelligence Applications in Natural Gas Industry: A Literature Review;International Journal of Engineering and Advanced Technology;2024-02-28
3. Using an artificial neural network model for natural gas heat combustion forecasting;Chemical and Process Engineering: New Frontiers;2023-09-25
4. Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part I;Energies;2023-08-20
5. Study of phase and physical property changes during gas lift injection of high CO 2 ‐content associated gas in the offshore M oil field;Energy Science & Engineering;2023-02-09
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