特种油气藏 ›› 2023, Vol. 30 ›› Issue (1): 79-86.DOI: 10.3969/j.issn.1006-6535.2023.01.011

• 油藏工程 • 上一篇    下一篇

基于CT扫描的蒸汽驱岩心孔隙结构特征及相渗分析

李爱芬, 高子恒, 景文龙, 付帅师   

  1. 中国石油大学(华东),山东 青岛 266580
  • 收稿日期:2021-11-21 修回日期:2022-10-21 出版日期:2023-02-25 发布日期:2023-03-24
  • 作者简介:李爱芬(1962—),女,教授,1985年毕业于华东石油学院石油工程专业,2002年毕业于石油大学(华东)油气田开发工程专业,获博士学位,现主要从事油气田开发方面的教学与科研工作。
  • 基金资助:
    国家自然科学基金“低渗油藏过渡带毛管力及相对渗透率曲线精确表征”(51774308)

Cores Pore Structure Characteristics and Relative Permeability Analysis in Steam Flooding Based on CT Scanning

Li Aifen, Gao Ziheng, Jing Wenlong, Fu Shuaishi   

  1. China University of Petroleum(East China), Qingdao, Shandong 266580, China
  • Received:2021-11-21 Revised:2022-10-21 Online:2023-02-25 Published:2023-03-24

摘要: 为明确蒸汽驱对疏松砂岩稠油油藏孔隙结构特征的影响,以LDB油田为例,应用CT技术扫描不同蒸汽驱阶段岩心,构建三维数字岩心模型,提取孔隙网络模型,获取不同蒸汽驱阶段的岩心孔隙度、绝对渗透率及孔隙结构相关特征等参数,并通过流动模拟得到相对渗透率曲线,开展定量统计及分析。结果表明:随着蒸汽驱的进行,岩心孔隙空间变大,平均孔隙半径、平均喉道半径、孔隙度及渗透率均增大,渗流能力变强,孔隙结构得到改善。研究成果可为稠油油藏蒸汽驱开发设计提供技术支持。

关键词: 稠油热采, 蒸汽驱, CT扫描, 孔隙结构, 孔隙网络模型

Abstract: In order to identify the effect of steam flooding on the pore structure characteristics of heavy oil reservoirs in unconsolidated sandstone, in a study case of LDB Oilfield, CT technology is applied to scan the cores in different steam flooding stages, a three-dimensional digital core model is constructed and a pore network model is extracted to obtain the core porosity, absolute permeability, pore structure characteristics and other parameters at different steam flooding stages, as well as working out the relative permeability curve by flow simulation and performing quantitative statistics and analysis. The result shows: as the steam flooding progresses, the pore space of the core becomes larger, leading to increase in average pore radius, average throat radius, porosity and permeability, and enhancing the permeability and improving the pore structure. The study results provide technical support for the design of heavy oil reservoir development with steam flooding.

Key words: thermal recovery of heavy oil, steam flooding, CT scanning, pore structure, pore network model

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