Abstract: As the oil and gas wellbore engineering technology becomes highly efficient, visualized, digitalized, automated, intelligent and integrated, a large quantity of the wellbore engineering data is accumulated at the present time, but more efforts are still needed for in-depth application of those data. Application of the oil and gas wellbore engineering data is divided into four levels – concentrated acquisition, display and description, analysis and application, and intelligent in-depth application. In-depth application of the engineering data still faces a series of challenges, such as imbalanced development of the wellbore databanks, difficulty in in-depth sharing of data, and the barriers for data application. This paper analyzes six main technological demands for in-depth application of the engineering data, namely unified regulation of data, in-depth sharing of data, integration of engineering specialized functions, intelligence of engineering knowledge, engineering rapid evaluation/design/diagnosis/decision-making technology, and openly-configurated data in-depth application platform. It is proposed to study and develop the engineering data in-depth application technology and software platform, establish the data in-depth sharing mechanism, accelerate the automated digitalized service process and enhance development of technological professionals for digital transformation.

摘要： 随着油气井筒工程技术高效能化、可探视化、数字化、自动化、智能化、一体化趋势发展，目前油气井筒工程数据已形成规模，但数据深度应用仍需开展工作。油气井筒工程数据应用分为搜采集中、呈现描述、分析应用、智能化深度应用4个层次；工程数据深入应用还面临着井筒数据库建设发展不平衡、数据深度共享难、数据应用存在壁垒等挑战，分析了工程数据深度应用六大技术需求，即数据统一管控、数据深度共享、工程专业功能集成、工程知识智能化、工程快速评价/设计/诊断/决策技术、开放式架构数据深度应用平台方面的需求。建议开展工程数据深度应用技术与软件平台研发，建立数据深度共享机制，加快自动化数字化作业进程，加快数字化转型技术人才队伍建设。

关键词: 油气井筒工程, 井筒工程数据, 数据深度应用, 数字化, 大数据, 人工智能, 钻采工程