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基于岩石物理模型的碳酸盐岩储层微观孔隙特征分析方法
引用本文:李博南,曲寿利,沈珲.基于岩石物理模型的碳酸盐岩储层微观孔隙特征分析方法[J].吉林大学学报(地球科学版),2020,50(1):285-293.
作者姓名:李博南  曲寿利  沈珲
作者单位:1. 中国石化石油物探技术研究院, 南京 211100;2. 南京工业大学交通运输工程学院, 南京 210009
基金项目:国家科技重大专项(2016ZX05014-001-001)
摘    要:碳酸盐岩储层的微观孔隙结构普遍具有类型复杂和纵向变化快的特征。由于地球物理资料尺度的限制,现有的解释手段不能有效刻画这些关键特征。笔者采用临界孔隙度模型作为理论依据,建立了微观孔隙结构与宏观弹性参数响应之间的定量关系;以岩石物理实验数据为约束,提出了一种基于概率统计学的方法估算储层关键参数并识别岩石孔隙类型。在YS1井的应用表明:新方法有效挖掘了声波测井数据中隐含的微观信息,参数预测结果达到较高的精度(平均相对误差小于10%),可以为优质储层段的划分提供可靠的参考依据。

关 键 词:碳酸盐岩储层  岩石物理模型  临界孔隙度  贝叶斯估计  
收稿时间:2019-01-02

Microscopic Characterization Method of Carbonate Reservoirs Based on Rock Physics Model
Li Bonan,Qu Shouli,Shen Hui.Microscopic Characterization Method of Carbonate Reservoirs Based on Rock Physics Model[J].Journal of Jilin Unviersity:Earth Science Edition,2020,50(1):285-293.
Authors:Li Bonan  Qu Shouli  Shen Hui
Institution:1. Sinopec Geophysical Research Institute, Nanjing 211100, China;2. College of Transportation Science and Engineering, Nanjing Tech University, Nanjing 210009, China
Abstract:The microscopic characteristics of carbonate reservoirs cannot be easily described due to the limitation of existing geophysical data scale. By using the critical porosity model as rock physical theory, the relationships between pore structures and elastic responses were built, and the key parameters were estimated through statistical method. Furthermore, the experiments were used to classify logging data with their critical porosities. The results indicate that the accuracy and stability of this new method (error less than 10%) meet the needs of carbonate reservoir exploration at Log YS1. It provides a new method to reduce the pore complexity and inversion uncertainty, and has reference value for geological interpretation.
Keywords:carbonate reservoirs  rock physics modelling  critical porosity  Bayesian estimation  
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