Topographic Inversion and Shallow Gas Risk Analysis in the Canyon Area of Southeastern Qiongdong Basin Based on Multi-Source Data Fusion

The submarine topography in the canyon area of the Qiongdongnan Basin is complex, with severe risks of shallow gas hazards threatening marine engineering safety. To accurately characterize seabed morphology and assess shallow gas risks, this study employed multi-source data fusion technology, integrating 3D seismic data, shipborne multibeam bathymetry data, and high-precision AUV topographic data from key areas to construct a refined seabed terrain inversion model. For the first time, the spatial distribution characteristics of complex geomorphological features such as scarps, mounds, fissures, faults, and mass transport deposits (MTDs) were systematically delineated. Based on attribute analysis of 3D seismic data and geostatistical methods, the enrichment intensity of shallow gas was quantified, its distribution patterns were systematically identified, and risk level evaluations were conducted. The results indicate: (1) multi-source data fusion significantly improved the resolution and accuracy of terrain inversion, revealing intricate geomorphological details in deep-water regions; and (2) seismic attribute analysis effectively delineated shallow gas enrichment zones, clarifying their spatial distribution patterns and risk levels. This study provides critical technical support for deep-water drilling platform site selection, submarine pipeline route optimization, and engineering geohazard prevention, offering significant practical implications for ensuring the safety of deep-water energy development in the South China Sea.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-10-03
DOI
https://doi.org/10.3390/jmse13101897
Citations
1
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.86
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Topographic Inversion and Shallow Gas Risk Analysis in the Canyon Area of Southeastern Qiongdong Basin Based on Multi-Source Data Fusion

Tao Hua, Xiaolei Liu, Yufei Li, Qian Jiang et al.
1 citations
Journal of Marine Science and Engineering
Hydrocarbon exploration and reservoir analysis
0.86
article

Topographic Inversion and Shallow Gas Risk Analysis in the Canyon Area of Southeastern Qiongdong Basin Based on Multi-Source Data Fusion

Tao Hua, Xiaolei Liu, Yufei Li, Qian Jiang, Huanrong Zuo, Bigui Huang
article en
1 citations

Abstract

The submarine topography in the canyon area of the Qiongdongnan Basin is complex, with severe risks of shallow gas hazards threatening marine engineering safety. To accurately characterize seabed morphology and assess shallow gas risks, this study employed multi-source data fusion technology, integrating 3D seismic data, shipborne multibeam bathymetry data, and high-precision AUV topographic data from key areas to construct a refined seabed terrain inversion model. For the first time, the spatial distribution characteristics of complex geomorphological features such as scarps, mounds, fissures, faults, and mass transport deposits (MTDs) were systematically delineated. Based on attribute analysis of 3D seismic data and geostatistical methods, the enrichment intensity of shallow gas was quantified, its distribution patterns were systematically identified, and risk level evaluations were conducted. The results indicate: (1) multi-source data fusion significantly improved the resolution and accuracy of terrain inversion, revealing intricate geomorphological details in deep-water regions; and (2) seismic attribute analysis effectively delineated shallow gas enrichment zones, clarifying their spatial distribution patterns and risk levels. This study provides critical technical support for deep-water drilling platform site selection, submarine pipeline route optimization, and engineering geohazard prevention, offering significant practical implications for ensuring the safety of deep-water energy development in the South China Sea.

Journal of Marine Science and EngineeringVol. 13(10)
China National Offshore Oil Corporation (China) (CN), Ocean University of China (CN), China National Petroleum Corporation (China) (CN)
Openalex Percentile: Top 24%
Hydrocarbon exploration and reservoir analysis
0.86
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