Fracture identification and evaluation using conventional logs in tight sandstones: A case study in the Ordos Basin, China
Author:
Funder
National Science and Technology Major Project
Fundamental Research Funds for the Central Universities
Science Foundation of China University of Petroleum, Beijing
Publisher
Elsevier BV
Reference23 articles.
1. Fractured zones detection using conventional petrophysical logs by differentiation method and its correlation with image logs;Aghli;J. Petrol. Sci. Eng.,2016
2. Applications of machine learning for facies and fracture prediction using Bayesian Network Theory and Random Forest: case studies from the Appalachian basin USA;Bhattacharya;J. Petrol. Sci. Eng.,2018
3. Lithology identification using kernel Fisher discriminant analysis with well logs;Dong;J. Petrol. Sci. Eng.,2016
4. Principle and implementation of discrete fracture network modeling controlled by fracture density;Dong;Geol. Rev.,2018
5. A fast method for fracture intersection detection in discrete fracture networks;Dong;Comput. Geotech.,2018
Cited by 57 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. Deep-learning-based natural fracture identification method through seismic multi-attribute data: a case study from the Bozi-Dabei area of the Kuqa Basin, China;Frontiers in Earth Science;2024-08-26
2. Fracture identification in shale reservoir using a deep learning method: Chang 7 reservoirs, Triassic Yanchang formation;Geoenergy Science and Engineering;2024-07
3. Fracture identification of carbonate reservoirs by deep forest model: An example from the D oilfield in Zagros Basin;Energy Geoscience;2024-07
4. Carbonate reservoir fracture‐cavity system identification based on the improved YOLOv5s deep learning algorithm;Energy Science & Engineering;2024-05-27
5. Characterization and Application of Quartz from Different Sources in Typical Shale Reservoirs;Chemistry and Technology of Fuels and Oils;2024-05
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