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

袁龙; 刘文强; 罗少成; 王谦; 李楠; 曹原

doi:10.3969/j.issn.1006-6535.2024.03.008

特种油气藏 >

2024 , Vol. 31 >Issue 3: 61 - 69

DOI: https://doi.org/10.3969/j.issn.1006-6535.2024.03.008

地质勘探

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

袁龙 ,
刘文强 ,
罗少成 ,
王谦 ,
李楠 ,
曹原

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中国石油测井有限公司,陕西西安 710021

袁龙(1985—),男,高级工程师,2009年毕业于西南石油大学资源勘查工程专业,2015年毕业于该校地球探测与信息技术专业,获博士学位,现主要从事测井精细解释与地质综合应用方面的研究工作。

收稿日期: 2023-04-15

修回日期: 2024-03-01

网络出版日期: 2024-07-26

基金资助

中国石油测井十大科技专项“重点勘探领域测井解释评价核心技术攻关”(CNLC2022-08B02)

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A Calculation Method of Deep Tight Reservoir Saturation Based on Acoustic Parameters and Pore Structure Classification

Yuan Long ,
Liu Wenqiang ,
Luo Shaocheng ,
Wang Qian ,
Li Nan ,
Cao Yuan

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China National logging Corporation, Xi′an, Shaanxi 710021, China

Received date: 2023-04-15

Revised date: 2024-03-01

Online published: 2024-07-26

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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

本文引用格式

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 . DOI: 10.3969/j.issn.1006-6535.2024.03.008

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

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