Application of Machine Learning Methods in Modeling the Loss of Circulation Rate while Drilling Operation
Author:
Affiliation:
1. Department of Petroleum Engineering, King Fahd University of Petroleum &Minerals, Dhahran 31261, Saudi Arabia
2. Drilling Technology Division, EXPEC Advanced Research Center, Dhahran 34466, Saudi Arabia
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c00970
Reference48 articles.
1. An Analysis and the Control of Lost Circulation
2. Ghalambor, A.; Salehi, S.; Shahri, M. P.; Karimi, M. Integrated Workflow for Lost Circulation Prediction, Presented at the SPE International Symposium and Exhibition on Formation Damage Control, Society of Petroleum Engineers, Lafayette, Louisiana, USA, Feb 26–28, 2014.
3. Schafer, D. M.; Loeppke, G. E.; Glowka, D. A.; Scott, D. D.; Wright, E. K. In An Evaluation of Flowmeters for the Detection of Kicks and Lost Circulation During Drilling, Presented at the IADC/SPE Drilling Conference, New Orleans, Louisiana, Feb 18–21, 1992.
4. Beda, G.; Carugo, C. In Use of Mud Micro loss Analysis While Drilling to Improve the Formation Evaluation in Fractured Reservoir, Presented at the SPE Annual Technical Conference and Exhibition held in New Orleans, Louisiana, Sept 30–Oct 3, 2001.
Cited by 10 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. Research on adaptive feature optimization and drilling rate prediction based on real-time data;Geoenergy Science and Engineering;2024-11
2. Oil and gas flow anomaly detection on offshore naturally flowing wells using deep neural networks;Geoenergy Science and Engineering;2024-11
3. Advancing Drilling Safety: Automated Anomaly Detection in Well Control Using Machine Learning Techniques;SPE Nigeria Annual International Conference and Exhibition;2024-08-05
4. Artificial intelligence for drilling lost circulation: A systematic literature review;Geoenergy Science and Engineering;2024-08
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