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作 者:甘振维[1] 路智勇[1] 李四海 常国栋 王聪 Gan Zhenwei;Lu Zhiyong;Li Sihai;Chang Guodong;Wang Cong(Sinopec Jianghan Oilfield Company,Qianjiang 433124,China)
出 处:《石油科技论坛》2023年第3期41-47,共7页PETROLEUM SCIENCE AND TECHNOLOGY FORUM
基 金:中国石油化工股份有限公司项目“江汉油田涪陵智能页岩气田建设项目”(编号:24202A-20211017)。
摘 要:江汉油田针对企业数字化现状与面临的挑战,重点围绕数据治理、平台建设、组件化开发、数据挖掘等方面探索数字化转型,建成了覆盖全业务领域、满足全场景应用的数据资源中心,建设异常管控中心和工业互联网软件研发底座,打造支撑“厂直管班站”高效运行的油气生产指挥中心,开发地质工程协同研究、三维可视的油气藏管理平台,部署了涵盖钻、测、录、固、试作业全流程、全天候监测的智能管控平台。通过数字化转型,江汉油田有效消除“数据孤岛、系统烟囱”,显著提升了生产运行、异常处置、风险防控等能力,推动了企业管理模式变革,人均年油气当量提升50%以上,为油气生产企业推进数字化转型提供借鉴。Facing the current conditions of corporate digitalization and the challenges in this area,Jianghan Oilfield was committed to digital transformation,which was focused on data governance,platform construction,component-based development,and data mining.The oilfield established the data resources center that covered all the business areas and satisfied all the scenario applications.It also established the control center for management of the abnormal conditions,the industrial Internet software R&D base,and the oil and gas production command center that could effectively operated the stations and crews directly affiliated to the oil production plant.Meanwhile,the company developed 3D visualized oil and gas reservoir management platform for synergy between geological and engineering studies and deployed the 24-hour supervising and intelligent control platform that covered all the business processes of drilling,logging,well log,cementing and testing services.Based on digital transformation,Jianghan Oilfield effectively eliminated isolation of data and apparently improved its abilities for production operation,treatment of the abnormal conditions,and risks control,promoting reform of the corporate management model.As a result,the annual per-capita oil and gas equivalent was raised more than 50 percent,providing an example for the oil and gas production enterprise to accelerate their digital transformation.
关 键 词:数字化转型 数据治理 平台建设 组件化开发 数据挖掘 江汉油田
分 类 号:TE4[石油与天然气工程—油气田开发工程] TP39[自动化与计算机技术—计算机应用技术] F426.22[自动化与计算机技术—计算机科学与技术]
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