基于云原生的智能气田建设研究与实践

doi:10.3969/j.issn.1002-302X.2024.06.007

摘要/Abstract

摘要： 近年来云计算技术飞速发展，先进技术与新型范式逐渐发挥效能，为推进数字化转型且满足个性化需求，以微服务为代表的云原生技术应运而生。中国石化自2013年完成智能油气田整体规划和总体设计以来，着力打造石化智云工业互联网平台，提供DevOps流水线式的持续交付服务，提升“业务、数据、技术”三大中台能力，推动信息化应用建设向组件化、服务化、平台化转变，为智能油气田建设提供平台、技术支撑。江汉油田分公司涪陵智能页岩气田，基于石化智云平台，按照“数据+平台+应用”新模式开展项目建设，涵盖气藏动态管理、生产运行优化、单井管理、设备管理、管网管理、HSE、协同研究七大业务场景，通过提升云原生开发能力，降低信息系统开发、测试、部署、运维的难度和成本，跨越式提升生产与管理数字化信息化水平，为油田企业数字化转型提供有益借鉴。

关键词: 云原生；石化智云；DevOps；智能气田；组件

Abstract: Cloud computing technology has developed rapidly in recent years. The latest technology and new-type paradigms are gradually displaying their effectiveness. The cloud-native technology, characterized for microservices, have emerged to accelerate digital transition and satisfy the tailored needs. Sinopec has committed efforts to establishing the Sinopec Smart Cloud industrial Internet platform since it completed the general plan and design of smart oil and gas fields in 2013. Sinopec provided development operations (DevOps) line-style delivery services, improved “business, data and technology” middle-tier capabilities, accelerated transformation of informatization application into components, services and platforms and supported oil and gas field construction with platform and technology. Based on the Sinopec Smart Cloud platform, Fuling smart shale gas field of Jianghan Oilfield Company was constructed according to the new model of “data+platform+application,” covering seven main business scenarios--dynamic gas reservoir management, optimization of production operation, single-well management, equipment management, manifold management, HSE and collaborative study. Improvement of cloud native development capability and reduction of the difficulties and cost for development, testing, deployment, and operation of the information system dramatically raised the digitalized information level of production and management, providing good references for digital transition of oilfield enterprises.

Key words: cloud native; Sinopec Smart Cloud; DevOps; smart gas field; components

中图分类号:

李四海,乔雨露,夏钦锋. 基于云原生的智能气田建设研究与实践[J]. 石油科技论坛, 2024, 43(6): 56-62.

Li Sihai, Qiao Yulu, Xia Qinfeng. Research and Practice of Smart Gas Field Construction Based on Cloud Native[J]. Petroleum Science and Technology Forum, 2024, 43(6): 56-62.

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