Application of Fuzzy Logic in Selection of Best Well for Hydraulic Fracturing in Oil and Gas Fields
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-35249-3_53
Reference24 articles.
1. Economides, M.J., Nolte, K.G.: Reservoir stimulation, 3rd edn, p. 856. Wiley, London (2000)
2. Finol, J., Guo, Y.K., Jing, D.Y.: A rule based fuzzy model for the prediction of petrophysical rock parameters. J. Pet. Sci. Eng. 29, 97–113 (2001)
3. Garrouch, A.A., Lababidi, H.M.S.: Development of an expert system for underbalanced drilling using fuzzy logic. J. Pet. Sci. Eng. 31, 23–39 (2001)
4. Quenes, A.: Practical application of fuzzy logic and neural networks to fractured reservoir characterization. Comput. Geosci. 26, 953–962 (2000)
5. Kadkhodaie, I.A., Rezaee, M.R., Moallemi, S.A.: A fuzzy logic approach for estimation of permeability and rock type from conventional well log data: an example from the Kangan reservoir in the Iran offshore gas field. J. Geophys. Eng. 3, 356–369 (2006)
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