基于岩石薄片图像的海陆过渡相页岩纹层识别方法及应用

李佳航; 李玮; 刘向君; 李星涛; 李永洲; 熊健; 梁利喜

doi:10.3969/j.issn.1006-6535.2023.04.006

特种油气藏 >

2023 , Vol. 30 >Issue 4: 44 - 53

DOI: https://doi.org/10.3969/j.issn.1006-6535.2023.04.006

地质勘探

基于岩石薄片图像的海陆过渡相页岩纹层识别方法及应用

李佳航 ,
李玮 ,
刘向君 ,
李星涛 ,
李永洲 ,
熊健 ,
梁利喜

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1.西南石油大学地球科学与技术学院,四川成都 610500;
2.西南石油大学油气藏地质及开发工程国家重点实验室,四川成都 610500;
3.中国石油煤层气有限责任公司,北京 100028

李佳航(1996—),男,2018年毕业于西南石油大学电气工程及其自动化专业,现为该校地质工程专业在读硕士研究生,主要从事测井、岩石物理、图像处理等方向研究。

收稿日期: 2022-11-27

修回日期: 2023-05-30

网络出版日期: 2023-09-18

基金资助

国家自然科学基金“压敏性横观各向同性介质中超声脉冲传播机制及动态弹性刚度系数测试方法研究”(42004124);中国石油-西南石油大学创新联合体科技合作项目“鄂尔多斯盆地海陆过渡相页岩气规模建产开发关键技术研究”(2020CX030103)

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Identification Method and Application of Marine-Continental Transitional Shale Laminae Based on Rock Thin Section Image

Li Jiahang ,
Li Wei ,
Liu Xiangjun ,
Li Xingtao ,
Li Yongzhou ,
Xiong Jian ,
Liang Lixi

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1. School of Geoscience and Technology, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
3. PetroChina Coalbed Methane Co., Ltd., Beijing 100028, China

Received date: 2022-11-27

Revised date: 2023-05-30

Online published: 2023-09-18

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摘要

岩石薄片图像是识别页岩纹层最直接、有效的手段之一。常规方法利用图像色彩分割技术识别页岩纹层,应用于纹层形态复杂多样的海陆过渡相页岩时,识别效果依赖于图像的局部特征,且受纹层形态影响大。针对上述问题,运用二维离散傅立叶变换将岩石薄片图像转换为频域图像,并结合主成分分析技术提取频域图像特征,建立页岩纹层结构发育程度的表征参数,从而提出了一种海陆过渡相页岩纹层结构识别方法。将该方法应用于研究区目的层段的岩石薄片图像分析中,应用结果表明:该方法相比常规方法更适用于复杂多样的海陆过渡相页岩地层,纹层识别符合率达到90%以上。该方法可为页岩结构分析和各向异性评价等工作提供有力支持。

关键词： 海陆过渡相页岩; 纹层识别; 岩石薄片; 图像处理; 傅立叶变换; 主成分分析

本文引用格式

李佳航 , 李玮 , 刘向君 , 李星涛 , 李永洲 , 熊健 , 梁利喜 . 基于岩石薄片图像的海陆过渡相页岩纹层识别方法及应用[J]. 特种油气藏, 2023 , 30(4) : 44 -53 . DOI: 10.3969/j.issn.1006-6535.2023.04.006

Abstract

Rock thin section image is one of the most direct and effective means to identify shale laminae. Using image color segmentation to identify shale laminae is a conventional method.When it is applied to the marine-continental transitional shale with complex and diverse laminae morphology, the identification effect depends on the local features of the image and is greatly affected by the laminae morphology. To address the above problems, we propose a method to identify marine-continental transitional shale laminae structure by converting rock slice thin images into frequency domain images using two-dimensional discrete Fourier transform, extracting frequency domain image features with principal component analysis technology, and establishing characterization parameters of shale laminae structure development degree. The method was applied to the analysis of rock thin section images of the target reservoir in the study area, and the application results showed that: The method is more applicable to the complex and diverse marine-continental transitional shale shale strata than the conventional method, and the conformation rate of laminae identification reaches more than 90%. The method can provide strong support for shale structure analysis and anisotropy evaluation.

Key words： marine-continental transitional shale; laminae identification; rock thin section; image processing; Fourier transform; principal component analysis

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