智能钻井技术研究现状及发展趋势

李根生 宋先知 田守嶒

李根生, 宋先知, 田守嶒. 智能钻井技术研究现状及发展趋势[J]. 石油钻探技术, 2020, 48(1): 1-8. doi: 10.11911/syztjs.2020001
引用本文: 李根生, 宋先知, 田守嶒. 智能钻井技术研究现状及发展趋势[J]. 石油钻探技术, 2020, 48(1): 1-8. doi: 10.11911/syztjs.2020001
LI Gensheng, SONG Xianzhi, TIAN Shouceng. Intelligent Drilling Technology Research Status and Development Trends[J]. Petroleum Drilling Techniques, 2020, 48(1): 1-8. doi: 10.11911/syztjs.2020001
Citation: LI Gensheng, SONG Xianzhi, TIAN Shouceng. Intelligent Drilling Technology Research Status and Development Trends[J]. Petroleum Drilling Techniques, 2020, 48(1): 1-8. doi: 10.11911/syztjs.2020001

智能钻井技术研究现状及发展趋势

doi: 10.11911/syztjs.2020001
基金项目: 

国家自然科学基金专项项目(科技活动项目)“面向2035的油气智能工程技术发展战略研究”(编号:L1924060)、中国工程院咨询研究项目“油气工程技术2035发展战略研究”(2018–XZ–09)联合资助

详细信息
    作者简介:

    李根生(1961—),男,安徽石台人,1983年毕业于华东石油学院钻井工程专业,1986年获华东石油学院北京研究生部油气田开发工程专业硕士学位,1998年获石油大学(北京)油气井工程专业博士学位,教授,博士生导师,中国工程院院士,长期从事石油工程和高压水射流技术的教学和研究工作。系本刊编委。E-mail: ligs@cup.edu.cn

  • 中图分类号: TE21

Intelligent Drilling Technology Research Status and Development Trends

  • 摘要: 随着油气勘探开发逐渐向非常规、低渗透、深层、深水等复杂油气领域发展,钻井工程在安全、经济和效率等方面面临一系列难题和挑战。基于大数据和人工智能等前沿技术的智能钻井技术,有望实现钻井过程的超前探测、智能导向、闭环控制和智能决策,从而大幅提高油气井产量和采收率,降低钻井成本,近年来已成为国内外研究热点。详细介绍了国内外智能钻井关键技术的发展现状,包括井眼轨道智能优化、钻速智能优化、智能导向钻井、井下闭环调控、智能监测与决策等技术,并分析了国内外智能钻机、智能钻杆、智能钻头、智能控压钻井系统和智能导向钻井系统等装备的主要进展,指出基于我国人工智能技术的高速发展,需要加强钻井工程与前沿理论、技术的跨界融合,强化协同创新,建立完善的智能钻井理论与技术体系,为实现我国复杂油气资源高效勘探开发和油气发展战略提供技术支撑。
  • 图  1  智能钻井系统组成示意

    Figure  1.  Composition of intelligent drilling system

    图  2  我国小型智能钻机的井口控制系统–双集成司钻系统

    Figure  2.  Wellhead control system-dual integrated driller system for small scale intelligent drilling rig in China

    图  3  我国研制的电导通智能钻杆

    Figure  3.  Electrically conductive smart drill pipe developed by China

    图  4  贝克休斯公司的TerrAdapt智能钻头

    Figure  4.  Baker Hughes’ TerrAdapt smart bit

    图  5  哈里伯顿公司iCruise智能旋转导向系统

    Figure  5.  Halliburton’s iCruise intelligent rotary steering system

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出版历程
  • 收稿日期:  2019-10-09
  • 网络出版日期:  2019-12-27
  • 刊出日期:  2020-01-01

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