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智能钻完井技术研究进展与前景展望 被引量:20

Research Progress and the Prospect of Intelligent Drilling and Completion Technologies
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摘要 智能钻完井技术是钻完井工程与人工智能、大数据、云计算等先进技术的有机融合,可实现油气钻完井过程的精细表征、决策优化和闭环调控,有望大幅提升钻完井效率、储层钻遇率和油气采收率,是油气领域的研究前沿和热点。从工程实际出发构建了油气钻完井人工智能应用场景,根据钻完井工程与人工智能技术的融合深度划分了智能钻完井技术的发展层次;分析了国内外智能钻完井理论与技术的研究现状,结合人工智能技术和钻完井工程的发展趋势提出了中长期发展规划,并凝练了智能钻完井技术研究面临的难题和重点攻关方向,以期为推进我国智能钻完井技术的基础理论研究和推广应用提供参考。 Intelligent drilling and completion technologies are the integration of drilling and completion engineering with Artificial Intelligence(AI),Big Data,cloud computing,and other advanced technologies.They can achieve fine characterization,optimal decision-making,and closed-loop control of oil and gas drilling and completion and are expected to significantly improve drilling and completion efficiency,reservoir drilling rate,and oil and gas recovery efficiency.Therefore,they are the research frontier and hot spot in the oil and gas field.In this paper,the application scenario system of AI in oil and gas drilling and completion was constructed from the engineering practice.Then,the development level of intelligent drilling and completion technologies was divided according to the integration degree of drilling and completion engineering with AI.Furthermore,the research status of intelligent drilling and completion theories and technologies both in China and abroad was discussed,with a medium-and long-term development plan being proposed according to the development trend of AI and drilling and completion engineering.Finally,the problems and key directions of intelligent drilling and completion technologies were summarized.The paper serves as a reference for accelerating the basic theoretical research and application of intelligent drilling and completion technologies in China.
作者 李根生 宋先知 祝兆鹏 田守嶒 盛茂 LI Gensheng;SONG Xianzhi;ZHU Zhaopeng;TIAN Shouceng;SHENG Mao(State Key Laboratory of Petroleum Resources and Prospecting(China University of Petroleum(Beijing)),Beijing,102249,China)
出处 《石油钻探技术》 CAS CSCD 北大核心 2023年第4期35-47,共13页 Petroleum Drilling Techniques
基金 国家重点研发计划项目“复杂油气智能钻井理论与方法”(编号:2019YFA0708300) 国家自然科学基金杰出青年科学基金项目“油气井流体力学与工程”(编号:52125401) 中国石油天然气集团公司–中国石油大学(北京)战略合作科技专项“物探、测井、钻完井人工智能理论与应用场景关键技术研究”(编号:ZLZX2020-03)联合资助。
关键词 人工智能 智能钻井 智能完井 应用场景 技术现状 攻关方向 前景展望 artificial intelligence intelligent drilling intelligent completion application scenario technical status research directions prospect
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