2025 年 68 巻 1 号 p. 20-26
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.