Most frequent value-based factor analysis of direct-push logging data
Author:
Affiliation:
1. Department of Geophysics; University of Miskolc; H-3515 Miskolc-Egyetemváros Hungary
2. MTA-ME; Geoengineering Research Group; H-3515 Miskolc-Egyetemváros Hungary
3. ELGOSCAR-2000 Ltd.; H-1095 Budapest, Soroksári Street 164 Hungary
Funder
European Union
European Structural and Investment Funds
Publisher
Wiley
Subject
Geochemistry and Petrology,Geophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/1365-2478.12573/fullpdf
Reference45 articles.
1. The electrical resistivity log as an aid in determining some reservoir characteristics;Archie;Petroleum Transactions of the AIME,1942
2. Statistical factor analysis technique for characterizing basalt through interpreting nuclear and electrical well logging data (case study from southern Syria);Asfahani;Applied Radiation and Isotopes,2014
3. A study of electric log interpretation methods in shaly formations;Witte;Petroleum Transactions of the AIME,1955
4. Joint inversion of seismic and geoelectric data recorded in an underground coal mine;Dobróka;Geophysical Prospecting,1991
5. Interval inversion of well-logging data for automatic determination of formation boundaries by using a float-encoded genetic algorithm;Dobróka;Journal of Petroleum Science and Engineering,2012
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. Most frequent value analysis of distance measurements to M87;Monthly Notices of the Royal Astronomical Society;2024-08-14
2. A case study of petrophysical prediction using machine learning integrated with interval inversion in a tight sand reservoir in Egypt;IOP Conference Series: Earth and Environmental Science;2024-01-01
3. Unveiling Insights: Harnessing the Power of the Most-Frequent-Value Method for Sensor Data Analysis;Sensors;2023-10-31
4. Application of the most frequent value method for $$^{39}$$Ar half-life determination;The European Physical Journal C;2023-10-15
5. Robust reservoir identification by multi-well cluster analysis of wireline logging data;Heliyon;2023-05
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