石油学报 ›› 2022, Vol. 43 ›› Issue (10): 1450-1461.DOI: 10.7623/syxb202210008

• 油田开发 • 上一篇    下一篇

数字孪生油气藏:智慧油气田建设的新方向

刘文岭, 韩大匡   

  1. 中国石油勘探开发研究院 北京 100083
  • 收稿日期:2021-12-01 修回日期:2022-07-14 出版日期:2022-10-25 发布日期:2022-11-05
  • 通讯作者: 刘文岭,男,1966年7月生,2002年获中国地质大学(北京)博士学位,现为中国石油勘探开发研究院教授级高级工程师、硕士生导师,主要从事油藏地球物理、储层地质建模、油田开发方案设计等研究。
  • 作者简介:刘文岭,男,1966年7月生,2002年获中国地质大学(北京)博士学位,现为中国石油勘探开发研究院教授级高级工程师、硕士生导师,主要从事油藏地球物理、储层地质建模、油田开发方案设计等研究。Email:liuwenling@petrochina.com.cn
  • 基金资助:
    中国工程院战略咨询项目"大数据驱动的油气勘探开发发展战略研究"(2019-XZ-17)资助。

Digital twin system of oil and gas reservoirs: a new direction for smart oil and gas field construction

Liu Wenling, Han Dakuang   

  1. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China
  • Received:2021-12-01 Revised:2022-07-14 Online:2022-10-25 Published:2022-11-05

摘要: 对地下储层和流体的认识程度严重制约油气田开发的生产举措,而油气藏描述在油气田开发中占有重要地位,构建油气藏系统的数字孪生体是油气藏描述的最高境界。在对油气田开发研究现状与发展趋势和数字化转型生产需求分析的基础上,提出了数字孪生油气藏理论,将数字孪生油气藏定义为"构建油气藏的数字孪生仿真模型,最大限度地量化逼近真实油气藏,及时准确地表征油气藏全生命周期动态变化,模拟物理世界油气藏实体在真实环境下的开发行为",为油气藏描述与油气藏工程一体化研究指明了方向。论述了基于数字孪生油气藏的智慧油气田建设重点方向与建设内容,指出通过建立油气藏开发系统的数字化副本——油气藏数字孪生体,以此为基础在云端优化开发与科学管理油气田,将带来油气田开发领域的一场新的技术革命,数字孪生油气藏将为智慧油气田建设赋予新的内涵。

关键词: 数字孪生, 智能油气田, 智慧油气田, 人工智能, 油气藏描述, 油气田开发

Abstract: The production measures of oil and gas field development is severely restricted by the degree of understanding of subsurface reservoirs and fluids; reservoir description plays an important role in oil and gas field development business, and the main goal of reservoir description is to construct the digital twin system of reservoirs. Based on analyzing the current research status and development trend of oil and gas field development and the demands for digital transformation-based production, the paper proposes the digital twin theory of oil and gas reservoir, which defines the reservoir digital twin as "building a digital twin simulation model of oil and gas reservoirs to maximize the quantitative approximation of the real reservoir, characterizing the dynamic changes of the whole life cycle of reservoirs in a timely and accurate manner, and simulating the development behavior of reservoir entities from the physical world in a real environment". This points out the direction for the integrated research of reservoir description and reservoir engineering. Further, the paper presents the key directions and contents of smart oil and gas field construction based on the digital twin system of oil and gas reservoirs, and it is pointed out that by establishing a digital copy of oil and gas reservoir development system, i.e., the digital twin system of oil and gas reservoirs, as a basis for optimal development and scientific management of oil and gas fields in the cloud, a new technological revolution in the field of oil and gas field development will emerge, and the digital twin system of oil and gas reservoirs will give new connotation to the construction of smart oil and gas fields.

Key words: digital twin, intelligent oil and gas field, smart oil and gas field, artificial intelligence, reservoir description, oil and gas field development

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