Scholarlink

When dealing with water injection optimization problems of fractured reservoirs, it is not possible to directly use numerical simulator. In this study, a surrogate-assisted intelligent water injection optimization algorithm for buried hill fractured reservoirs is proposed on the basis of traditional numerical simulation and optimization algorithms. Surrogate model is a mathematical model constructed by sampling in numerical simulator, which is can approximate the original numerical simulator with fast calculation speed and accuracy. Taking the JZS buried hill fractured reservoir as an example, a surrogate-assisted intelligent water injection optimization algorithm is used to conduct unstable water injection parameters on three types of reservoirs. Combined with the differences of remaining oil distribution, water injection parameters for different types of reservoirs are given to guide fine water injection in the oilfield. The research results indicate that Water-breakthrough-time of type I reservoir oil wells is longer than other classes. The remaining oil is mainly distributed in fractures. Type I reservoir require high injection-production ratio and longer water injection cycle; There is a significant difference in the connectivity between the strong and weak sides of type II reservoirs, and the water injection well needs to dynamically adjust the water injection volume and cycle based on the degree of connectivity to maintain a large fluctuation in the injection-production ratio; Oil and water wells in Type III reservoirs are directly connected through fractures, with fast water breakthrough. It is necessary to maintain a low injection-production ratio and a short water injection cycle to promote infiltration and suppress water channeling. The surrogate model optimizes water injection parameters by combining with numerical simulator, improving optimization efficiency while obtaining optimal water injection plans. The research results effectively guide the accurate intelligent water injection optimization work in fractured reservoirs of buried hills, and the effect of controlling water and increasing oil production is significant.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Research on Intelligent Water Injection Optimization for Buried Hills Fractured Reservoirs in Offshore

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Xing-gang Zhao,
  • Li-zhen Ge,
  • Zhi-qiang Meng,
  • Xiao-lin Zhu,
  • Ya Wang

摘要

When dealing with water injection optimization problems of fractured reservoirs, it is not possible to directly use numerical simulator. In this study, a surrogate-assisted intelligent water injection optimization algorithm for buried hill fractured reservoirs is proposed on the basis of traditional numerical simulation and optimization algorithms. Surrogate model is a mathematical model constructed by sampling in numerical simulator, which is can approximate the original numerical simulator with fast calculation speed and accuracy. Taking the JZS buried hill fractured reservoir as an example, a surrogate-assisted intelligent water injection optimization algorithm is used to conduct unstable water injection parameters on three types of reservoirs. Combined with the differences of remaining oil distribution, water injection parameters for different types of reservoirs are given to guide fine water injection in the oilfield. The research results indicate that Water-breakthrough-time of type I reservoir oil wells is longer than other classes. The remaining oil is mainly distributed in fractures. Type I reservoir require high injection-production ratio and longer water injection cycle; There is a significant difference in the connectivity between the strong and weak sides of type II reservoirs, and the water injection well needs to dynamically adjust the water injection volume and cycle based on the degree of connectivity to maintain a large fluctuation in the injection-production ratio; Oil and water wells in Type III reservoirs are directly connected through fractures, with fast water breakthrough. It is necessary to maintain a low injection-production ratio and a short water injection cycle to promote infiltration and suppress water channeling. The surrogate model optimizes water injection parameters by combining with numerical simulator, improving optimization efficiency while obtaining optimal water injection plans. The research results effectively guide the accurate intelligent water injection optimization work in fractured reservoirs of buried hills, and the effect of controlling water and increasing oil production is significant.