中国石化油气生产数智化建设的探索与实践
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李冰(1981—),男,河北邢台人,高级经济师,硕士,从事油气勘探开发信息化、企业改革与管理、人力资源、政策研究等管理工作。E-mail:libing@sinopec.com。

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Exploration and practice of digital and intelligent construction in Sinopec’s oil and gas production
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    摘要:

    “十二五”以来,为落实“两化”深度融合、加快数字化转型,针对老油气田普遍存在的开采成本高、用工矛盾大、运行效率低等问题,中国石化油田勘探开发事业部在胜利油田试点建设的基础上,与油公司体制机制建设相结合,统筹组织油气田企业加快油气生产数智化建设,创新建立了油气开采工业物联网标准体系,形成了基于动静态数据的生产参数软测量技术,突破了基于大数据的异常识别与运行优化技术,自主开发了全要素国产化一级部署的油气生产信息化平台,有效解决了老油气田生产信息化建设标准不统一、整体投入较高、海量实时数据价值难以高效挖掘利用、生产运行信息化平台分散建设难以发挥规模效益等难题,形成了低成本、标准化、可推广的油气田数智化建设解决方案,构建了数智化条件下新型生产运行模式和劳动组织方式,在中国石化油气田企业全面工业化应用,见到了显著成效。结果表明,油气生产数智化建设与实践是油气田企业数字化转型、高质量发展的有效途径,在推动油气田企业生产运行模式和劳动组织方式变革、提高劳动生产率、提升精细管理水平和生产运行效率等方面起到关键的支撑作用;“十三五”以来,中国石化油气田企业劳动生产率提高91%,油井生产时率平均提高0.4个百分点,维护频次降低0.13,油田自然递减率降低2.4个百分点,实现了油气生产现场少人无人值守,有力支撑了油公司改革发展,奠定了智能油气田建设基础。

    Abstract:

    Since“The Twelfth Five-Year Plan in 2011-2015,”to implement the deep integration of informatization and industrializa‐tion and accelerate digital transformation,common issues in mature oil and gas fields have been analyzed,such as high production costs,significant labor conflicts,and low operational efficiency. To address these issues,the Oilfield Exploration and Production Department of Sinopec combined pilot constructions in Shengli Oilfield and the institutional mechanism construction of oil compa‐nies and organized oil and gas field enterprises to expedite the digital and intelligent construction in oil and gas production. As a re‐sult,a standard system for the industrial Internet of Things in oil and gas production was established,and production parameter soft measurement technology based on dynamic and static data was developed. Breakthroughs were made in anomaly recognition and op‐erational optimization technology based on big data. The department independently developed a fully localized oil and gas produc‐tion informatization platform with first-level deployment that integrated all elements,effectively solving problems such as inconsis‐tent standards in the informatization construction of mature oil and gas fields,high overall investment,difficulties in efficient min‐ing and utilizing the value of massive real-time data,and the dispersed construction of production,operation,and command plat‐forms that hindered the realization of large-scale benefits. This has formed a low-cost,standardized,and scalable solution for the digital and intelligent construction of oil and gas fields and established new production operation models and labor organization methods under digital and intelligent conditions,which have been fully industrialized and applied in Sinopec’s oil and gas field en‐terprises,showing significant results. The results indicate that the digital and intelligent construction and practice of oil and gas pro‐duction are effective ways to achieve the digital transformation and high-quality development of mature oil and gas fields,playing a key supporting role in promoting the transformation of production and operation models and labor organization methods in oil and gas field enterprises,improving labor productivity,enhancing fine management levels,and increasing production operation effi‐ciency. Since“The Thirteenth Five-Year Plan in 2016-2020”,the labor productivity of Sinopec’s oil and gas field enterprises has in‐creased by 91%,and the production time rate of oil wells has increased by an average of 0.4 percentage points;maintenance fre‐quency has decreased by 0.13,and the natural decline rate of oil fields has decreased by 2.4 percentage points,achieving unmanned or less manned operations at oil and gas production sites,strongly supporting the reform and development of oil companies and lay‐ing the foundation for the construction of intelligent oil and gas fields.

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李 冰,郭洪金,段鸿杰.中国石化油气生产数智化建设的探索与实践[J].油气地质与采收率,2025,32(3):81~93

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  • 收稿日期:2024-09-01
  • 最后修改日期:2025-02-25
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  • 在线发布日期: 2025-04-17
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