Application of the Gray Level Co-occurrence Matrix (GLCM) Technique for Analyzing Fracture Networks in the Granitic Basement of Cuu Long Basin, Vietnam

The Cuu Long Basin (CLB) in offshore Vietnam is a key hydrocarbon-producing region, known for its complex geological structures, particularly in the basement granite. However, traditional seismic methods often struggle to accurately map faults and fractures within the basement granite, largely due to the lack of distinct geological layering. To overcome this challenge, this study proposes the application of the gray level co-occurrence matrix (GLCM) technique to analyze the texture of geological features, such as faults and fractures, within the basement granite of the CLB. By applying the GLCM method, the study aims to detect basement faults, identify lineaments, and examine the compartmentalization of basement reservoirs. The results demonstrate that the GLCM analysis reveals zones with shallow-deep fault interactions have lower prospectivity compared to areas where older faults do not extend upwards. Additionally, the GLCM attributes show a correlation with the FMI (Formation Micro Imager) data, assisting in the identification of additional oil reserves. GLCM analysis reveals that zones with interactions between shallow and deep faults show lower prospectivity compared to areas where older faults remain confined to deeper levels in the basement granite of the CLB. These findings underscore the potential of GLCM as a valuable tool for enhancing fault detection and reservoir characterization in complex geological settings like the CLB.

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Publication Details

Journal
Journal of the Japan Petroleum Institute
Published
2024-12-31
DOI
https://doi.org/10.1627/jpi.68.20
Citations
1
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
0.53
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article

Application of the Gray Level Co-occurrence Matrix (GLCM) Technique for Analyzing Fracture Networks in the Granitic Basement of Cuu Long Basin, Vietnam

Quoc Thanh Truong, Valentina Baranova, Azer Mustaqeem, Văn Xuân Trần et al.
1 citations
Journal of the Japan Petroleum Institute
Seismic Imaging and Inversion Techniques
0.53
article

Application of the Gray Level Co-occurrence Matrix (GLCM) Technique for Analyzing Fracture Networks in the Granitic Basement of Cuu Long Basin, Vietnam

Quoc Thanh Truong, Valentina Baranova, Azer Mustaqeem, Văn Xuân Trần, Nguyen Binh Kieu, Xuan Kha Nguyen, Bao Phung GIA
article en
1 citations

Abstract

The Cuu Long Basin (CLB) in offshore Vietnam is a key hydrocarbon-producing region, known for its complex geological structures, particularly in the basement granite. However, traditional seismic methods often struggle to accurately map faults and fractures within the basement granite, largely due to the lack of distinct geological layering. To overcome this challenge, this study proposes the application of the gray level co-occurrence matrix (GLCM) technique to analyze the texture of geological features, such as faults and fractures, within the basement granite of the CLB. By applying the GLCM method, the study aims to detect basement faults, identify lineaments, and examine the compartmentalization of basement reservoirs. The results demonstrate that the GLCM analysis reveals zones with shallow-deep fault interactions have lower prospectivity compared to areas where older faults do not extend upwards. Additionally, the GLCM attributes show a correlation with the FMI (Formation Micro Imager) data, assisting in the identification of additional oil reserves. GLCM analysis reveals that zones with interactions between shallow and deep faults show lower prospectivity compared to areas where older faults remain confined to deeper levels in the basement granite of the CLB. These findings underscore the potential of GLCM as a valuable tool for enhancing fault detection and reservoir characterization in complex geological settings like the CLB.

Journal of the Japan Petroleum InstituteVol. 68(1)
Vietnam National University Ho Chi Minh City (VN), Ho Chi Minh City University of Technology (VN)
Life in Land
Openalex Percentile: Top 31%
Seismic Imaging and Inversion Techniques
0.53
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