基于层次分析法的页岩储层地质甜点优化评价

doi:10.11885/j.issn.1674-5086.2024.12.27.03

西南石油大学学报(自然科学版) ›› 2025, Vol. 47 ›› Issue (5): 62-74.DOI: 10.11885/j.issn.1674-5086.2024.12.27.03

基于层次分析法的页岩储层地质甜点优化评价

冷钇江^1,2, 唐洪明^1,2, 王滢³, 石学文^1,2,4, 刘佳⁴

1. 西南石油大学地球科学与技术学院, 四川成都 610500;
2. 天然气地质四川省重点实验室, 四川成都 610500;
3. 中国石油川庆钻探工程有限公司地质勘探开发研究院, 四川成都 610051;
4. 中国石油西南油气田公司页岩气研究院, 四川成都 610051

收稿日期:2024-12-27 发布日期:2025-11-04
通讯作者: 冷钇江，E-mail:985735734@qq.com
作者简介:冷钇江，1998年生，男，汉族，四川泸州人，博士研究生，主要从事非常规油气地质综合研究。E-mail:985735734@qq.com
唐洪明，1966年生，男，汉族，四川武胜人，教授，博士研究生导师，主要从事储层地质和油气层保护技术等方面的教学和研究工作。E-mail: swpithm@vip.163.com
王滢，1983年生，女，汉族，四川南充人，高级工程师，主要从事页岩气综合地质研究工作。Email:42108834@qq.com
石学文，1982年生，男，汉族，重庆渝北人，高级工程师，主要从事油气地质勘探方面的研究工作。E-mail: shixuewen@-petrochina.com.cn
刘佳，1987年生，女，汉族，四川仁寿人，高级工程师，主要从事储层评价方面的研究工作。E-mail:452099529@qq.com
基金资助:
中国石油西南石油大学创新联合体项目（2020CX020102）

Geology Sweet Spot of Shale Gas Optimization Evaluation Based on Analytic Hierarchy Process

LENG Yijiang^1,2, TANG Hongming^1,2, WANG Ying³, SHI Xuewen^1,2,4, LIU Jia⁴

1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
2. Natural Gas Geology Key Laboratory of Sichuan Province, Chengdu, Sichuan 610500, China;
3. Geological Exploration and Development Research Institute of CCDC, CNPC, PetroChina, Chengdu, Sichuan 610051, China;
4. Shale Gas Research Institute, Southwest Oil and Gas Field Company, PetroChina, Chengdu, Sichuan 610051, China

Received:2024-12-27 Published:2025-11-04

摘要/Abstract

摘要： 页岩气地质甜点评价是一个涉及多参数的综合问题，其预测方法多样且各指标参数阈值的界定难以统一。在明确页岩岩石物理性质的基础上，结合岩芯实验分析结果，系统深入开展了页岩气地质甜点参数优化工作，建立了总有机碳含量、孔隙度、含气饱和度及含气量4个关键参数预测模型，并利用层次分析法确定了各个关键储层参数的权重系数，最终构建了川南地区地质甜点指数定量评价模型。该模型在泸州深层与长宁中深层页岩储层评价实践中的应用结果表明，4个参数预测值与实测值相关系数均在0.85以上，有效提高了页岩气储层关键参数预测精度，且两个区域均在龙马溪组底部表现出较高的地质甜点参数特征，与实际生产情况高度吻合。本研究不仅解决了地质甜点评价过程中多参数难以量化的矛盾，提供了一种新的页岩气地质甜点综合量化评价模型，更深化了对地质甜点复杂机制的认识和理解，为未来的页岩气勘探与开发策略制定提供了科学依据与理论支撑。

关键词: 页岩气, 地质甜点, 层次分析法, 川南地区, 龙马溪组

Abstract: Shale gas geological sweet spot evaluation is a comprehensive problem involving multiple parameters, and its prediction methods are diverse and the definition of the threshold of each index parameter is difficult to be unified. Based on clarifying the petrophysical properties of shale formations and integrating core experimental analysis results, this study systematically conducted optimization of geological sweet spot parameters for shale gas reservoirs. The prediction models of TOC content, porosity, gas saturation and gas content were established. And the weight coefficients of each key reservoir parameter were determined by analytic hierarchy process. Finally, the quantitative evaluation model of geological sweet spot index was established. The application results in Luzhou deep shale reservoir and Changning middle deep shale reservoir show that the correlation coefficients between the predicted values and the measured values of the four parameters are all above 0.85, which effectively improves the prediction accuracy of key parameters of shale gas reservoir. Both regions show higher geological sweet spot parameters at the bottom of Longmaxi Formation, which is highly consistent with the actual production situation. This study not only solves the contradiction of multi-parameter difficult to quantify in the evaluation process of geological sweet spot, provides a new comprehensive quantitative evaluation model of shale gas geological sweet spot, but also deepens the understanding and understanding of the complex mechanism of geological sweet spot, and provides scientific basis and theoretical support for the formulation of future shale gas exploration and development strategies.

Key words: shale gas, geological sweet spot, analytic hierarchy process, southern Sichuan, Longmaxi Formation

中图分类号:

TE121

冷钇江, 唐洪明, 王滢, 石学文, 刘佳. 基于层次分析法的页岩储层地质甜点优化评价[J]. 西南石油大学学报(自然科学版), 2025, 47(5): 62-74.

LENG Yijiang, TANG Hongming, WANG Ying, SHI Xuewen, LIU Jia. Geology Sweet Spot of Shale Gas Optimization Evaluation Based on Analytic Hierarchy Process[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2025, 47(5): 62-74.

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基于层次分析法的页岩储层地质甜点优化评价

Geology Sweet Spot of Shale Gas Optimization Evaluation Based on Analytic Hierarchy Process

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