基于FMI图像微电导率曲线时频信息识别页岩层理构造的方法及应用——以四川盆地资中地区寒武系筇竹寺组一段为例

doi:10.12108/yxyqc.20250606

岩性油气藏 ›› 2025, Vol. 37 ›› Issue (6): 59–70.doi: 10.12108/yxyqc.20250606

• 地质勘探 • 上一篇

基于FMI图像微电导率曲线时频信息识别页岩层理构造的方法及应用——以四川盆地资中地区寒武系筇竹寺组一段为例

杨杨¹, 王海青², 石学文¹, 曾玉婷², 高翔¹, 李金勇², 张轩昂^3,4, 闫建平^3,4,5

1. 中国石油西南油气田公司页岩气研究院, 成都 610500;
2. 山东立鼎石油科技有限公司, 山东东营 257100;
3. 西南石油大学地球科学与技术学院, 成都 610500;
4. 天然气地质四川省重点实验室, 西南石油大学, 成都 610500;
5. 油气藏地质及开发工程全国重点实验室, 西南石油大学, 成都 610500

收稿日期:2025-01-24 修回日期:2025-03-28 发布日期:2025-11-07
第一作者:杨杨（1982—），男，硕士，高级工程师，从事页岩气勘探地质综合研究工作。地址：（610500）四川省成都市成华区建设北路一段1号。Email：snyangyang@petrochina.com.cn。
通信作者: 王海青(1987—),女,硕士,工程师,主要从事非常规油气测井处理及解释工作。Email:wanghaiqing@dylpt.com。
基金资助:
国家科自然科学基金项目“低电阻率页岩气储层：成因机制差异及含气饱和度模型研究”（编号：42372177），中国石油-西南石油大学创新联合体科技合作项目“川南深层与昭通中浅层海相页岩气规模效益开发关键技术研究”（编号：2020CX020000）与四川省自然科学基金项目“页岩气储层低电阻率成因机制及对含气性的影响研究”（编号：2022NSFSC0287）联合资助。

A method and application of identifying shale bedding structures based on FMI image micro-electrical conductivity curve time-frequency information: A case study on the first member of Cambrian Qiongzhusi Formation in Zizhong area of Sichuan Basin

YANG Yang¹, WANG Haiqing², SHI Xuewen¹, ZENG Yuting², GAO Xiang¹, LI Jinyong², ZHANG Xuanang^3,4, YAN Jianping^3,4,5

1. Research Institute of Shale Gas, PetroChina Southwest Oil & Gasfield Company, Chengdu 610500, China;
2. Shandong Leading Petro-Tech Co., Ltd., Dongying 257100, Shandong, China;
3. School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China;
4. Natural Gas Geology Key Laboratory of Sichuan Province, Southwest Petroleum University, Chengdu 610500, China;
5. National Key Laboratory of Oil & Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China

Received:2025-01-24 Revised:2025-03-28 Published:2025-11-07

摘要/Abstract

摘要： 以四川盆地资中地区ZX01井寒武系筇竹寺组页岩为研究对象，提出了一种基于FMI图像提取等效微电导率曲线（EC），构建纹层发育曲线（LC）来识别纹层发育段及层理构造的新方法，探讨了页岩层理构造的LC曲线响应特征，并对LC曲线在岩相识别、页岩气“甜点”评价中的应用效果进行了分析。研究结果表明：①利用改进的Criminisi算法对FMI动态图像进行复原，提取复原后图像的EC曲线，对曲线进行频谱分析，对比纹层发育段和块状段的频率分布差异并进行傅里叶带通滤波，得到纹层信号增强曲线，对其进行取绝对值和包络线处理，即获得反映纹层发育程度的曲线（LC）。②研究区筇竹寺组一段纹层段主要分布于1、3、5小层，LC值一般大于0.16，层状构造LC值低于0.16，块状构造LC值最低。③利用机器学习模型进行页岩岩相识别时，将LC曲线作为特征输入，岩相的识别精度提高了3%；LC值与TOC、脆性指数及游离气含量、吸附气含量均呈正相关关系，与孔隙度呈弱负相关关系，LC值越高，纹层越发育，TOC含量和脆性矿物的含量就越高；在水力压裂过程中，脆性指数较高的层段有利于裂缝扩展，叠加纹层的发育可形成复杂的缝网系统，有助于提高页岩气井的产量。

关键词: 页岩纹层, 页岩岩相, 层理构造, 时频信息, FMI图像, 微电导率曲线, 筇竹寺组, 寒武系, 四川盆地

Abstract: With Cambrian Qiongzhusi Formation shale of well ZX01 in Zizhong area of Sichuan Basin as the case study, a new method was proposed to identify laminatedion developed intervals and bedding structures by extracting the equivalent micro-conductivity curve (EC) from FMI images to construct a lamination concentration curve(LC). LC curves response characteristics of shale bedding structures were discussed, and the application effectiveness of the LC curve in lithofacies identification and shale gas"sweet spot"evaluation was analyzed. The results show that: (1) An improved Criminisi algorithm was used to restore FMI dynamic images, extract the EC curve from the restored images, perform spectral analysis on the curve, compare the frequency distribution differences between laminated intervals and massive intervals, and perform Fourier band-pass filtering to obtain a laminar signal-enhanced curve. Absolute value and envelope processing were then applied to derive a curve (LC) reflecting the degree of laminar development.(2) Laminated intervals in the first member of Qiongzhusi Formation in the study area mainly distribute in sub-layers 1, 3 and 5, with LC values generally greater than 0.16. LC values of bedded structures are below 0.16, while LC values of massive structures are the lowest.(3) When using machine learning models for shale lithofacies identification, incorporating the LC curve as a feature input improved lithofacies recognition accuracy by 3%. The LC value exhibits positive correlations with TOC, brittleness index, free gas content, and adsorbed gas content, and exhibits a weak negative correlation with porosity. Higher LC values indicate more developed laminations, higher TOC content, and higher brittle mineral content. During hydraulic fracturing, intervals with higher brittleness index are more conducive to fracture propagation, and the development of superimposed laminations can form a complex fracture network system, which increase shale gas well productivity.

Key words: shale lamination, shale lithofacies, bedding structure, time-frequency information, FMI image, micro-electrical conductivity curve, Qiongzhusi Formation, Cambrian, Sichuan Basin

中图分类号:

P583

杨杨, 王海青, 石学文, 曾玉婷, 高翔, 李金勇, 张轩昂, 闫建平. 基于FMI图像微电导率曲线时频信息识别页岩层理构造的方法及应用——以四川盆地资中地区寒武系筇竹寺组一段为例[J]. 岩性油气藏, 2025, 37(6): 59–70.

YANG Yang, WANG Haiqing, SHI Xuewen, ZENG Yuting, GAO Xiang, LI Jinyong, ZHANG Xuanang, YAN Jianping. A method and application of identifying shale bedding structures based on FMI image micro-electrical conductivity curve time-frequency information: A case study on the first member of Cambrian Qiongzhusi Formation in Zizhong area of Sichuan Basin[J]. Lithologic Reservoirs, 2025, 37(6): 59–70.

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基于FMI图像微电导率曲线时频信息识别页岩层理构造的方法及应用——以四川盆地资中地区寒武系筇竹寺组一段为例

A method and application of identifying shale bedding structures based on FMI image micro-electrical conductivity curve time-frequency information: A case study on the first member of Cambrian Qiongzhusi Formation in Zizhong area of Sichuan Basin

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