石油学报 ›› 2024, Vol. 45 ›› Issue (7): 1152-1162.DOI: 10.7623/syxb202407010

• 综述 • 上一篇    

油藏地质建模与数值模拟一体化内涵及发展趋势

计秉玉1, 张文彪1, 何应付1, 段太忠1, 刘合2   

  1. 1. 中国石油化工股份有限公司石油勘探开发研究院 北京 100083;
    2. 中国石油勘探开发研究院 北京 100083
  • 收稿日期:2023-10-01 修回日期:2024-05-12 发布日期:2024-08-06
  • 通讯作者: 刘合,男,1961年3月生,2002年获哈尔滨工程大学博士学位,现为中国石油勘探开发研究院副总工程师、中国工程院院士,长期从事低渗透油气藏增产改造、机采系统提高系统效率、分层注水和井筒工程控制技术等方面的研究。Email:liuhe@petrochina.com.cn
  • 作者简介:计秉玉,男,1963年4月生,1999年获中国科学院数学与系统研究院博士学位,现为中国石油化工股份有限公司石油勘探开发研究院教授级高级工程师,长期从事油气田开发设计、渗流力学与油藏工程等方面的科研工作。Email:jiby.syky@sinopec.com
  • 基金资助:
    国家重点研发计划项目(2018YFA0702400)、国家自然科学基金项目(No.52204069)和中国科学院战略先导A项目"深层碳酸盐岩油气储层地质建模"(XDA14010204)资助。

Connotation and development trends of integration between geological reservoir modeling and numerical reservoir simulation

Ji Bingyu1, Zhang Wenbiao1, He Yingfu1, Duan Taizhong1, Liu He2   

  1. 1. Sinopec Petroleum Exploration and Production Research Institute, Beijing 100083, China;
    2. PetroChina Research Institute of Petroleum Exploration and Development, Beijing 100083, China
  • Received:2023-10-01 Revised:2024-05-12 Published:2024-08-06

摘要: 地质建模与油藏数值模拟是现代油藏研究与管理的重要工具,推动建模—数值模拟一体化技术发展与应用对油气藏高效开发具有重要意义。通过阐述建模—数值模拟学科的形成、发展及深度融合的历程,剖析了建模—数值模拟一体化在理念、流程、算法和应用上的内涵,分析了建模—数值模拟一体化关键技术发展趋势。地质建模技术要向地震多信息驱动、多点统计学新算法、地质过程模拟、人工智能技术等方面继续探索;数值模拟技术要更加注重多相多组分多场耦合、物理化学渗流、全油藏一体化模拟、人工智能自动历史拟合等方向的深化研究。提出了实现建模—数值模拟一体化的主要做法,包括搭建一体化软件平台、建立规范流程标准、发挥示范引领作用以及大力培养复合型人才;并认为多维多尺度数据同化、构建油气藏开发大模型以及数字孪生是建模—数值模拟一体化的未来发展趋势。

关键词: 建模—数值模拟一体化, 地质建模, 油藏数值模拟, 人工智能, 发展趋势

Abstract: Geological modeling and numerical reservoir simulation are considered as important tools for modern reservoir research and management, and it is of great significance to promote the development and application of modeling and numerical simulation integration technique for efficient exploitation of oil and gas reservoirs. This paper briefly elaborates the formation, development and deep integration of the modeling and numerical simulation disciplines, and also analyzes the connotations of modeling and numerical simulation integration in terms of concept, process, algorithm and application, as well the development trends for key techniques of modeling and numerical simulation integration. At present, geological modeling technique needs to be further explored in terms of seismic multi-information drive, multi-point new statistical algorithm, geological process simulation and artificial intelligence technology; numerical simulation technique should focus more on in-depth studies of multi-phase, multi-component and multi-field coupling, physicochemical porous flow, whole-reservoir integration simulation and AI-based automatic history matching. Main methods for achieving modeling and numerical simulation integration are proposed, including building an integrated software platform, establishing standard procedures and standards, giving play to demonstrative and leading roles and fostering versatile talents. Moreover, it is considered that multi-dimensional and multi-scale data assimilation, construction of big reservoir development model and digital twin will be the future development trends for integrated modeling and numerical simulation.

Key words: modeling-numerical simulation integration, geological modeling, numerical reservoir simulation, artificial intelligence, development trends

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