基于声学参数和孔隙结构分类的深层储层饱和度计算方法

doi:10.3969/j.issn.1006-6535.2024.03.008

摘要/Abstract

摘要： 深层致密储层地质条件复杂,储层含气饱和度计算难度大。针对该问题,以塔里木盆地库车北部构造带为例,基于岩石导电和岩石声学理论,利用岩石物理实验测试手段和数据分析技术,结合压汞-核磁共振数据将储层按孔隙结构划分为4类。依据岩石裂缝参数,建立了不同孔隙结构下含水饱和度与声学参数变化关系方程,建立基于声学参数和孔隙结构分类的饱和度计算模型。研究结果表明,该模型与变岩电参数Archie模型和Gassmann-Wood饱和度模型的处理结果对比,与实验测试资料更加吻合,验证了方法的可行性。该研究方法可为非电法测井资料计算深层致密储层饱和度提供一种新路径,助力深层致密气藏勘探新突破。

关键词: 深层致密储层, 含水饱和度, 声学参数, 孔隙结构, Gassmann-Wood方程

Abstract: Deep tight reservoirs present intricate geological conditions, posing challenges in accurately calculating gas saturation. To address the issue, the structural belt of northern Kuqa in Tarim Basin is taken as an example. Based on the theories of rock conductivity and acoustics, using petrophysicaltesting methods and data analysis techniques, combined with mercury intrusion porosimetry and nuclear magnetic resonance data, the reservoirs are divided into four categories based on their pore structures.According to the parameters of rock fractures, the relation equation between water saturation and acoustic parameters at different conditions of pore structures is established. An innovative saturation calculation model based on acoustic parameters and pore structure classification has been developed. According to the research results, compared with Archie equation of electrical petrophysical variations in rocks and Gassmann-Wood saturation equation, the simulator better matched with the test data. This method has proven to be feasible. The method provides a new approach to calculate the saturation of deep tight reservoirs using non-electric logging data, and promote efficient exploration and development in deep tight gas reservoirs.

Key words: deep tight reservoir, water saturation, acoustic parameters, pore structure, Gassmann-Wood equation

中图分类号:

TE121

袁龙, 刘文强, 罗少成, 王谦, 李楠, 曹原. 基于声学参数和孔隙结构分类的深层储层饱和度计算方法[J]. 特种油气藏, 2024, 31(3): 61-69.

Yuan Long, Liu Wenqiang, Luo Shaocheng, Wang Qian, Li Nan, Cao Yuan. A Calculation Method of Deep Tight Reservoir Saturation Based on Acoustic Parameters and Pore Structure Classification[J]. Special Oil & Gas Reservoirs, 2024, 31(3): 61-69.

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