Hybrid machine learning algorithms to enhance lost-circulation prediction and management in the Marun oil field
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference72 articles.
1. Implementing artificial neural networks and support vector machines to predict lost circulation;Abbas;Egyptian Journal of Petroleum,2019
2. Intelligent decisions to stop or mitigate lost circulation based on machine learning;Abbas;Energy,2019
3. Least Squares Support Vector Machines;AK,2002
4. Investigating geochemical characterization of Asmari and bangestan reservoir oils and the source of H2S in the Marun oilfield;Alizadeh;Petrol. Sci. Technol.,2012
5. Estimating total organic carbon content and source rock evaluation, applying ΔlogR and neural network methods: ahwaz and Marun oilfields, SW of Iran;Amiri Bakhtiar;Petrol. Sci. Technol.,2011
Cited by 53 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. Intelligent risk identification for drilling lost circulation incidents using data-driven machine learning;Reliability Engineering & System Safety;2024-12
2. Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern – a theoretical study;Expert Systems with Applications;2024-09
3. Optimizing Bubble Point Pressure Prediction in Petroleum Reservoirs Through Ensemble Voting Regressors;SPE Nigeria Annual International Conference and Exhibition;2024-08-05
4. Explainable machine-learning-based prediction of equivalent circulating density using surface-based drilling data;Scientific Reports;2024-08-01
5. Automated lost circulation severity classification and mitigation system using explainable Bayesian optimized ensemble learning algorithms;Journal of Petroleum Exploration and Production Technology;2024-07-11
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