油气井筒工程数据平台技术进展及数据深度应用思考  

Progress in Oil and Gas Wellbore Engineering Data Platform Technology and Suggestions on In-depth Application of Data

作　　者：胡贵[1] 崔明月[1] 陶冶[1] 黄雪琴[1] 张国辉[1] 石李保[1] Hu Gui;Cui Mingyue;Tao Ye;Huang Xueqin;Zhang Guohui;Shi Libao(PetroChina Research Institute of Petroleum Exploration&Development,Beijing 100083,China)

机构地区：[1]中国石油勘探开发研究院

出　　处：《石油科技论坛》2021年第5期65-72,共8页PETROLEUM SCIENCE AND TECHNOLOGY FORUM

基　　金：中国石油国际勘探开发有限公司海外技术支持研究项目“2021年海外生产作业工程技术支持与研究”(编号:CNODC-2021-ZC-01-19)。

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。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.

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 

分 类 号：TE24[石油与天然气工程—油气井工程] F426.22[经济管理—产业经济]