智能钻井技术现状与发展方向

doi:10.7623/syxb202004013

石油学报 ›› 2020, Vol. 41 ›› Issue (4): 505-512.DOI: 10.7623/syxb202004013

智能钻井技术现状与发展方向

王敏生, 光新军

中国石油化工股份有限公司石油工程技术研究院北京 100101

收稿日期:2019-08-15 修回日期:2020-02-19 出版日期:2020-04-25 发布日期:2020-05-09
通讯作者: 王敏生,男,1973年10月生,1995年获江汉石油学院学士学位,2009年获中国石油大学(华东)博士学位,现为中国石油化工股份有限公司石油工程技术研究院副总工程师,教授级高级工程师,主要从事钻井工艺及石油工程战略规划研究。Email:wangms.sripe@sinopec.com
作者简介:王敏生,男,1973年10月生,1995年获江汉石油学院学士学位,2009年获中国石油大学(华东)博士学位,现为中国石油化工股份有限公司石油工程技术研究院副总工程师,教授级高级工程师,主要从事钻井工艺及石油工程战略规划研究。Email:wangms.sripe@sinopec.com
基金资助:
中国石油化工股份有限公司科技部项目（P19029-5、P19002）资助。

Status and development trends of intelligent drilling technology

Wang Minsheng, Guang Xinjun

Sinopec Research Institute of Petroleum Engineering, Beijing 100101, China

Received:2019-08-15 Revised:2020-02-19 Online:2020-04-25 Published:2020-05-09

摘要/Abstract

摘要：

随着大数据、人工智能等数字化技术与自动化钻井技术的不断融合发展，钻井作业正在由自动化转向智能化。智能钻井技术具有学习、记忆和判断功能，能够实现部分钻井作业的自主决策和控制，减少现场作业人员，大幅提高作业效率和安全性。通过介绍智能钻井技术及其组成，分析了国外智能钻井技术现状与发展趋势，结合中国智能钻井技术发展现状，提出了智能钻井技术攻关方向，包括框架规划与标准体系、数据实时测量技术、信息高速传输技术、自动控制系统、钻井智能决策分析系统和智能钻井一体化技术。

关键词: 智能钻井, 人工智能, 智能决策, 自动控制, 人机交互

Abstract:

With the continuous integration and development of digital technologies such as big data, artificial intelligence and automated drilling technology, drilling operations are developing from automation to intelligence. Intelligent drilling technology has the functions of learning, memory and judgment. It can realize autonomous decision-making and control of some drilling operations, reduce the number of on-site operators, and greatly improve the efficiency and safety of operations. This paper introduces intelligent drilling technology and its composition, analyzes the current status and development trends of foreign intelligent drilling technology, and proposes the research direction of intelligent drilling technology based on the current status of intelligent drilling technology in China, including framework planning and standard systems, real-time measurement technology of data, and high-speed transmission technology of information, automatic control system, intelligent decision and analysis system of drilling and integrated intelligent drilling technology.

Key words: intelligent drilling, artificial intelligence, intelligent decision making, automatic control, human-computer interaction

中图分类号:

TE21

王敏生, 光新军. 智能钻井技术现状与发展方向[J]. 石油学报, 2020, 41(4): 505-512.

Wang Minsheng, Guang Xinjun. Status and development trends of intelligent drilling technology[J]. Acta Petrolei Sinica, 2020, 41(4): 505-512.

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智能钻井技术现状与发展方向

Status and development trends of intelligent drilling technology

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