摘要
随着深层和非常规油气资源开采需求增加及人口老龄化加剧的影响,油气钻探工程面临结构性缺员和高风险、高成本、低效率的问题。为了应对这些问题与挑战,智能钻井技术成为行业发展的关键。首先,概述了智能钻井的数据采集、传输、决策和控制等4个关键环节,介绍了中石化胜利石油工程有限公司(胜利工程)在地面自动化装备、井下测量与控制工具及信息化建设3个方面的技术探索情况;然后,提出了智能钻井的实施路线图,详细讨论了关键技术;最后,针对胜利工程在智能钻井实施层面的挑战,提出了一系列建议,包括提高井下与地面的数据通讯能力、增强系统的融合度和业务逻辑的交叉融合及深入挖掘数据,以提升理论研究的深度。研究认为,智能钻井技术的发展不仅需要技术上的突破,还需要对传统钻井理论进行深入理解和创新。
Due to the increasing demand for deep and unconventional resource development and the influence of the aging population,drilling and exploration of oil and gas are facing structural shortage of personnel and problems of high risk,high cost and low efficiency.In order to cope with these problems and challenges,intelligent drilling technologies have become the key to the development of the industry.Firstly,four key links of intelligent drilling were summarized:data acquisition,transmission,decision-making,and control,and technology exploration of Sinopec Shengli Oilfield Service Corporation in three fields was discussed:surface automation equipment,downhole measurement and control tools,and information construction.Then,the implementation roadmap of intelligent drilling was put forward,and its key technologies were discussed in detail.Finally,a series of recommendations were made to address the challenges encountered during implementation,including improving data communication between downhole and surface,enhancing system integration and cross-fusion of business logic,and digging deeper into the data to deepen theoretical research.The research shows that the development of intelligent drilling technologies not only needs technical breakthroughs but also requires an in-depth understanding and innovation of traditional drilling theory.
作者
裴学良
黄哲
PEI Xueliang;HUANG Zhe(Drilling Technology Research Institute,Sinopec Shengli Oilfield Service Corporation,Dongying,Shandong,257000,China)
出处
《石油钻探技术》
CAS
CSCD
北大核心
2024年第5期62-68,共7页
Petroleum Drilling Techniques
基金
中国石化优秀青年创新基金项目“智能钻头参数感知与优化控制技术”(编号:P23219)
中石化石油工程技术服务有限公司课题“PDC钻头四参数采集系统研制与应用”(编号:AMBG220089)
山东省中央引导地方科技发展专项资金项目“海洋油气钻井数字化技术创新平台建设”(编号:YDZX2022015)联合资助。
关键词
智能钻井
数据采集
数据传输
智能决策
自动控制
intelligent drilling
data acquisition
data transmission
intelligent decision-making
automatic control