Applications of artificial intelligence methods in prediction of permeability in hydrocarbon reservoirs
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference47 articles.
1. Permeability estimation: the various sources and their interrelationships;Ahmed;J. Petrol. Technol.,1991
2. Support vector regression for porosity prediction in a heterogeneous reservoir: a comparative study;Al-Anazi;Comp. Geosci.,2010
3. Aminian, K., Ameri, S., Oyerokun, A., Thomas, B., 2003. Prediction of flow units and permeability using artificial neural network. In: SPE Western Regional Meeting California, U.S.A., 19–24 May. SPE 83586.
4. The electrical resistivity log as an aid in determining some reservoir characteristics;Archie;Trans. AIME,1942
5. Artun, E., Mohaghegh, S., Toro, J., Wilson, T., Sanchez, A., 2005. Reservoir characterization using intelligent seismic inversion. In: SPE Eastern Regional Meeting held in Morgantown. SPE 98012.
Cited by 60 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. Classification of Logging Data Using Machine Learning Algorithms;Applied Sciences;2024-09-03
2. Reservoir properties inversion using attention-based parallel hybrid network integrating feature selection and transfer learning;Energy;2024-09
3. Size Effect on Pore-Scale Variables and Heterogeneous Pore-Network Characteristics in Carbonate Rocks;KSCE Journal of Civil Engineering;2024-07-12
4. New Method for Monitoring and Early Warning of Fracturing Construction;Processes;2024-04-10
5. A novel method for predicting shallow hydrocarbon accumulation based on source-fault-sand (S-F-Sd) evaluation and ensemble neural network (ENN);Applied Energy;2024-04
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