新疆石油天然气 ›› 2022, Vol. 18 ›› Issue (1): 1-13.DOI: 10.12388/j.issn.1673-2677.2022.01.001

• 专家视点 •    下一篇

机器学习算法概述及其在钻井工程中的应用

李宏波1罗平亚2白杨2李道雄1常爽3柳新国1   

  1. 1.西南石油大学石油与天然气工程学院,四川成都 615000; 2. 西南石油大学油气藏地质及开发工程国家重点实验室,四川成都 615000; 3.西南石油大学化学与化工学院,四川成都 615000
  • 出版日期:2022-03-25 发布日期:2022-03-25
  • 作者简介:李宏波(1997-),西南石油大学在读硕士研究生,从事钻井液技术研究工作。(Tel)15756356257(E-mail) 1921458987@qq.com
  • 基金资助:
    国家重点研发计划课题“井筒稳定性闭环响应机制与智能调控方法”(2019YFA0708303); “四川省科技计划资助”(No.2020JDJQ0057),杰出青年科技人才 — 油田含聚污水处理

Summary for Machine Learning Algorithms and Their Applications in Drilling Engineering

LI Hongbo1LUO Pingya2BAI Yang2LI Daoxiong1CHANG Shuang3LIU Xinguo1    

  1. 1. School of Petroleum Engineering,Southwest Petroleum University,Chengdu 615000,Sichuan,China; 2. State Key Laboratory ofOil & Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu 615000,Sichuan,China;  3. School of Chemistry and Chemical Engineering,Southwest Petroleum University,Chengdu 615000,Sichuan,China
  • Online:2022-03-25 Published:2022-03-25

摘要: 在互联网大数据时代,人工智能的核心—机器学习方法应用在钻井工程中是未来发展的大方向。其中钻井工程作为油气勘探开发过程中的中坚力量,利用机器学习方法优化钻井参数、进行事故预测与预警对于指导钻井工作经济、安全、高效、环保进行具有重要意义。针对利用以往经验、数据难以有效指导深井超深井钻井工作的情况,对目前机器学习所使用的算法进行了概述,浅析了机器学习应用在钻井工程中带来的益处,结合实际钻井工程需求调研了目前国内外机器学习在钻井工程中的一些实际应用,指出了机器学习在钻井工程中应用时面临的问题所在,对指出的问题提出了几点解决方法,期望机器学习技术能为我国钻井工程的发展添砖加瓦。

关键词: 人工智能, 机器学习, 钻井工程

Abstract: In this era of Internet and Big Data,the application of machine learning,which is the core of artificial intelligence,in drilling engineering represents a general future development orientation. Drilling engineering is an essential part of hydrocarbon exploration and development technology. Machine learning-based drilling parameter optimization and accident prediction and warning are vital for economy,safety,efficiency,and environmental-friendliness. Given that it is hard to effectively guide the drilling operation for deep and ultra-deep wells using the previous experience and data,this research summarizes the present algorithms used in machine learning first,and gives a preliminary analysis for the benefits of machine learning in drilling engineering consequently. A review of global studies on applications of machine learning in drilling engineering is presented and the challenges are identified. Some suggestions are proposed,in an attempt to promote contributions of machine learning in the development of drilling engineering of China.

Key words: artificial intelligence, machine learning, drilling engineering

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