Author:
Fan Haipeng,Wu Min,Cao Weihua,Lai Xuzhi,Chen Luefeng,Lu Chengda,Du Sheng,She Jinhua
Funder
Higher Education Discipline Innovation Project
National Natural Science Foundation of China
Major Technology Innovation of Hubei Province
Natural Science Foundation of Hubei Province
Fundamental Research Funds for the Central Universities
National Key Research and Development Program of China
Hubei Technological Innovation Special Fund
Subject
General Engineering,General Computer Science
Reference40 articles.
1. Drilling rate of penetration prediction of high-angled wells using artificial neural networks;Abbas;Journal of Energy Resources Technology,2019
2. Predicting the tool wear of a drilling process using novel machine learning XGBoost-SDA;Alajmi;Materials,2020
3. Hybrid data driven drilling and rate of penetration optimization;Alali;Journal of Petroleum Science and Engineering,2021
4. Identifying inefficient drilling conditions using drilling-specific energy;Armenta;SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers,2008
5. Computational complexity and human decision-making;Bossaerts;Trends in Cognitive Sciences,2017
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