Paper
19 January 2024 Monitoring of ground subsidence in the Thamama C area of Bab oilfield based on SBAS-InSAR
Yueyu Zhang, Qiuxiang Tao
Author Affiliations +
Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129802B (2024) https://doi.org/10.1117/12.3021021
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China
Abstract
Oil and gas extraction can cause ground subsidence, posing a threat to human safety. Therefore, timely identification of subsidence areas and implementation of mitigation measures are of significant importance. This study employed SBAS-InSAR technology to process 29 scenes of Sentinel-1A images covering the Thamama C area of the Bab oilfield. It thoroughly analyzed the spatio-temporal distribution characteristics of surface subsidence in the research area from March 2022 to March 2023. Three distinct areas with prominent subsidence were selected as feature areas, and their stability was analyzed using the entropy method. The results indicate that: (1) As of March 6, 2023, the overall research area exhibited a subsidence trend, with the extent and magnitude of subsidence continuously expanding over time. (2) By calculating the entropy values of the three selected feature areas using the entropy method, it was observed that all three areas experienced a certain degree of deformation fluctuation. This highlights the need for attention in subsequent production and construction activities. The study demonstrates that combining the entropy method with SBAS-InSAR technology enables effective monitoring and analysis of large-scale and long-term deformation in mining areas, providing assurance for the construction and operation of relevant engineering projects.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yueyu Zhang and Qiuxiang Tao "Monitoring of ground subsidence in the Thamama C area of Bab oilfield based on SBAS-InSAR", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129802B (19 January 2024); https://doi.org/10.1117/12.3021021
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