主成分分析方法识别和评价碳酸盐岩有效储层

doi:10.11885/j.issn.1674-5086.2023.09.25.02

西南石油大学学报(自然科学版) ›› 2025, Vol. 47 ›› Issue (3): 25-36.DOI: 10.11885/j.issn.1674-5086.2023.09.25.02

主成分分析方法识别和评价碳酸盐岩有效储层

徐文圣¹, 孙耀玺^2,3, 刘奇广¹, 庞雄奇^2,3, 张虎¹

1. 中国石油塔里木油田分公司, 新疆库尔勒 841000;
2. 中国石油大学(北京)地球科学学院, 北京昌平 102249;
3. 油气资源与工程国家重点实验室, 北京昌平 102249

收稿日期:2023-09-25 发布日期:2025-07-11
通讯作者: 庞雄奇，E-mail： pangxq@cup.edu.cn
作者简介:徐文圣，1982年生，男，汉族，四川西昌人，高级工程师，博士，主要从事油气田开发方面的研究工作。E-mail：1569266080@qq.com
孙耀玺，1998年生，男，汉族，宁夏中卫人，硕士研究生，主要从事油气层形成机制与分布规律研究。E-mail：616933786@qq.com
刘奇广，1995年生，男，汉族，河北衡水人，工程师，硕士，主要从事油气田开发方面的研究工作。E-mail：1569266080@qq.com
庞雄奇，1961年生，男，汉族，湖北崇阳人，教授，博士研究生导师，主要从事油气藏形成机制与分布规律、油气资源评价与油气田勘探的教学与科研工作。E-mail：pangxq@cup.edu.cn
张虎，1995年生，男，汉族，山东曹县人，工程师，硕士，主要从事油气田开发等方面的研究工作。E-mail：upczhanghu@163.com
基金资助:
国家自然科学基金联合基金（ZX20200160）

Interpretation and Identification of Effective Carbonate Reservoir Based on Principal Component Analysis

XU Wensheng¹, SUN Yaoxi^2,3, LIU Qiguang¹, PANG Xiongqi^2,3, ZHANG Hu¹

1. Tarim Oilfield Company, PetroChina, Korla, Xinjiang 841000, China;
2. College of Earth Sciences, China University of Petroleum (Beijing), Changping, Beijing 102249, China;
3. State Key Laboratory of Oil and Gas Resources and Engineering, Changping, Beijing 102249, China

Received:2023-09-25 Published:2025-07-11

摘要/Abstract

摘要： 塔西南拗陷柯克亚地区卡拉塔尔组为碳酸盐岩储层，其孔隙—裂缝系统决定着油气的富集程度，应用单一测井参数识别和评价孔—缝系统非常困难且效果差。为此，以主成分分析方法为核心，在损失很少信息条件下，将多个成分耦合后并在保证数据信息丢失最小的原则下提出了一种基于常规测井数据资料对碳酸盐岩孔隙—裂缝系统储集空间解释与评价的新方法，对未实施成像测井区域实现储层纵向高密度孔隙—裂缝系统联合量化分析与评价。研究利用声波测井、密度测井、中子测井、深侧向测井及浅侧向测井等测井资料，结合研究区实测孔渗数据及压汞测试等数据，建立塔西南柯克亚地区次生孔隙—裂缝储层解释数学模型，量化表征碳酸盐岩孔隙—裂缝系统储集空间。结果表明，柯克亚卡拉塔尔组孔隙—裂缝储层解释模型的识别结果与成像测井解释结果吻合率较高，可达73%，表明该方法有效，研究结果可为致密碳酸盐岩油气藏的高效勘探提供有力保障。

关键词: 致密碳酸盐岩, 孔隙裂缝系统, 主成分分析, 储集空间识别, 卡拉塔尔组

Abstract: The Kalataer Formation in the Kekeya Area of the Southwest Tarim Depression is a carbonate reservoir, and its pore-fracture system determines the enrichment degree of oil and gas. It is extremely difficult and ineffective to identify and evaluate the pore-fracture system using a single logging parameter. This paper takes the principal component analysis method as the core, couples multiple components under the condition of minimal information loss, and proposes a new method for interpreting and evaluating the storage space of carbonate rock pore-fracture systems based on conventional logging data, aiming to achieve joint quantitative analysis and evaluation of high-density vertical pore-fracture systems in unimaged logging areas. The logging curve data used in this study include sonic logging curves, density logging curves, neutron logging curves, deep lateral logging curves, and shallow lateral logging curves, combined with measured porosity and permeability data, mercury injection test data, etc., to establish a mathematical model for interpreting secondary pore-fracture reservoirs in the Kekeya Area of the southwest Tarim Depression, quantifying the storage space of the carbonate rock pore-fracture system. The research results show that the identification results of the porous-fractured reservoir interpretation model of the Kalataer Formation in the Kerkeya Area are highly consistent with the interpretation results of the imaging logging, with a matching rate of up to 73%, indicating the effectiveness of the method. The research results can provide a solid guarantee for the efficient exploration of tight carbonate oil and gas reservoirs.

Key words: tight carbonate rock, pore-fracture system, principal component analysis, reservoir space identification, Karatar Formation

中图分类号:

TE122

徐文圣, 孙耀玺, 刘奇广, 庞雄奇, 张虎. 主成分分析方法识别和评价碳酸盐岩有效储层[J]. 西南石油大学学报(自然科学版), 2025, 47(3): 25-36.

XU Wensheng, SUN Yaoxi, LIU Qiguang, PANG Xiongqi, ZHANG Hu. Interpretation and Identification of Effective Carbonate Reservoir Based on Principal Component Analysis[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2025, 47(3): 25-36.

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主成分分析方法识别和评价碳酸盐岩有效储层

Interpretation and Identification of Effective Carbonate Reservoir Based on Principal Component Analysis

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