石油科技论坛 ›› 2024, Vol. 43 ›› Issue (6): 81-87.DOI: 10.3969/j.issn.1002-302X.2024.06.010

• 案例研究 • 上一篇    下一篇

胜利海上油田开发智能化转型探索与实践

袁向兵1,董琰2,李守钦3   

  1. 1. 中国石化胜利油田分公司海洋采油厂; 2. 中国石化胜利油田分公司数智化管理服务中心;3. 中国石化胜利油田分公司东辛采油厂
  • 出版日期:2024-12-31 发布日期:2025-01-24
  • 作者简介:袁向兵,1975 年生,1999 年本科毕业于江汉石油学院,高级工程师,主要从事油田开发信息化服务工作。

Intelligent Transformation Research and Practice of Shengli Offshore Oilfield Development

Yuan Xiangbing1,Dong Yan2,Li Shouqin3   

  1. 1. Offshore Oil Production Plant, Sinopec Shengli Oilfield Company, Dongying 257237, China; 2. Digital Intelligence Management Service Center, Sinopec Shengli Oilfield Company, Dongying 257015, China; 3. Dongxin Oil Production Plant, Sinopec Shengli Oilfield Company, Dongying 257094, China
  • Online:2024-12-31 Published:2025-01-24

摘要: 胜利海上油田生产参数采集齐全,生产信息化及数据库基础较好。随着开发不断深入,积累了海量数据,如何深挖数据价值、快速发现异常、优化注采方案、挖掘油藏潜力、提高工作效率的工作需求日趋迫切。“十三五”以来,胜利海上油田持续打造“全面感知、集成协同、预警预测、分析优化”能力,推进油田开发智能化转型。目前,油藏开发管理主要在产量跟踪、注采调配、动态分析、指标巡检等方面进行探索实践,实现了油藏异常自动提醒、调配方案推荐优化、配产方案分解跟踪等功能,形成了“发现问题、制定措施、跟踪效果、效益评价”的油藏开发闭环管理模式,推动油藏管理向油藏分析与经营决策并重的转变。

关键词: 智能油田;产量跟踪;动态分析;注采调配

Abstract: The production parameters collected by Shengli offshore oilfield is compete on the basis of production information and database. With development unfolded continually, a large quantity of data came under accumulation. It is of great urgency to uncover data values, rapidly find the anomalies, optimize injection and production plans, tap reservoir potentials and improve work efficiency.Shengli offshore oilfield has been committed d to“ comprehensive perception, integration-based synergy, early warning and prediction,and analysis and optimization” since the start of the 13th Five-year Plan, thus accelerating intelligent transformation of oilfield development. Currently, oilfield development management was concentrated on production analysis, adjustment of injection and production, dynamic analysis, and inspection of indexes. The study also led to some other functions, such as automatic reminder of reservoir anomalies, recommendation and optimization of the adjustment plans, and analysis and tracing of the production adjustment plans. As a result, the closed management model for reservoir development was able to“ find problems, formulate measures, follow up results and evaluate performance,” thus accelerating transition of reservoir management to reservoir analysis and making decisions on business.

Key words: intelligent oilfield; production tracing; dynamic analysis; adjustment of injection and production

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