Removing the Outlier from the Production Data for the Decline Curve Analysis of Shale Gas Reservoirs: A Comparative Study Using Machine Learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Removing the Outlier from the Production Data for the Decline Curve Analysis of Shale Gas Reservoirs: A Comparative Study Using Machine Learning

Published:2022-08-29 Issue:36 Volume:7 Page:32046-32061
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Yehia Taha¹²^ORCID,Khattab Hamid²,Tantawy Mahmoud²,Mahgoub Ismail¹

Affiliation:

1. Department of Petroleum Engineering, Faculty of Engineering and Technology, Future University in Egypt (FUE), Cairo 11835, Egypt

2. Department of Petroleum Engineering, Faculty of Petroleum and Mining Engineering, Suez University, Suez 11252, Egypt

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c03238

Reference70 articles.

1. Review of micro seepage mechanisms in shale gas reservoirs

2. Shale gas permeability upscaling from the pore-scale

3. Material balance equation of shale gas reservoir considering stress sensitivity and matrix shrinkage

4. Mechanisms of shale gas adsorption: Evidence from thermodynamics and kinetics study of methane adsorption on shale

5. Quantification of Uncertainty in Reserve Estimation From Decline Curve Analysis of Production Data for Unconventional Reservoirs

Cited by 13 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. Sensitivity Analysis of Hydraulic Fracturing Parameters for Optimum Horizontal Well Spacing in Tight Oil Reservoirs;Arabian Journal for Science and Engineering;2024-08-09

2. Comparative analysis of machine learning techniques for predicting drilling rate of penetration (ROP) in geothermal wells: A case study of FORGE site;Geothermics;2024-07

3. Machine Learning Models to Predict Production Rate of Sucker Rod Pump Wells;Day 1 Tue, April 16, 2024;2024-04-09

4. Machine Learning Models to Predict Total Skin Factor in Perforated Wells;Day 1 Tue, April 16, 2024;2024-04-09

5. Identifying the controlling geological and engineering factors of shale gas production using deep learning models: a case study from Weiyuan, China;Petroleum Science and Technology;2023-11-20

同舟云学术

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