Integrated Statistical Analysis and Spatial Modeling of Gas Hydrate-Bearing Sediments in the Shenhu Area, South China Sea

Gas hydrate-bearing sediments in marine environments represent both a future energy source and a geohazard risk, prompting increasing international research attention. In the Shenhu area of the South China Sea, a large volume of drilling and laboratory data has been acquired in recent years, yet a comprehensive framework for evaluating the characteristics of key reservoir parameters remains underdeveloped. This study presents a spatially integrated and statistically grounded framework that captures regional-scale heterogeneity using multi-source in situ datasets. It incorporates semi-variogram modeling to assess spatial variability and provides statistical reference values for geological and geotechnical properties across the Shenhu Area. By synthesizing core sampling results, acoustic logging, and triaxial testing data, representative probability distributions and variability scales of hydrate saturation, porosity, permeability, and mechanical strength are derived, which are essential for numerical simulations of gas production and slope stability. Our results support the development of site-specific reservoir models and improve the reliability of early-phase hydrate exploitation assessments. This work facilitates the rapid screening of hydrate reservoirs, contributing to the efficient selection of potential production zones in hydrate-rich continental margins.

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Publication Details

Journal
Applied Sciences
Published
2025-08-11
DOI
https://doi.org/10.3390/app15168857
Primary Topic
Methane Hydrates and Related Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

Integrated Statistical Analysis and Spatial Modeling of Gas Hydrate-Bearing Sediments in the Shenhu Area, South China Sea

Lin Tan, Xin Feng
Applied Sciences
Methane Hydrates and Related Phenomena
article

Integrated Statistical Analysis and Spatial Modeling of Gas Hydrate-Bearing Sediments in the Shenhu Area, South China Sea

Lin Tan, Xin Feng
article en

Abstract

Gas hydrate-bearing sediments in marine environments represent both a future energy source and a geohazard risk, prompting increasing international research attention. In the Shenhu area of the South China Sea, a large volume of drilling and laboratory data has been acquired in recent years, yet a comprehensive framework for evaluating the characteristics of key reservoir parameters remains underdeveloped. This study presents a spatially integrated and statistically grounded framework that captures regional-scale heterogeneity using multi-source in situ datasets. It incorporates semi-variogram modeling to assess spatial variability and provides statistical reference values for geological and geotechnical properties across the Shenhu Area. By synthesizing core sampling results, acoustic logging, and triaxial testing data, representative probability distributions and variability scales of hydrate saturation, porosity, permeability, and mechanical strength are derived, which are essential for numerical simulations of gas production and slope stability. Our results support the development of site-specific reservoir models and improve the reliability of early-phase hydrate exploitation assessments. This work facilitates the rapid screening of hydrate reservoirs, contributing to the efficient selection of potential production zones in hydrate-rich continental margins.

Applied SciencesVol. 15(16)
Tongji University (CN), Shanghai Chengtou (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 83%
Methane Hydrates and Related Phenomena
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Integrated Statistical Analysis and Spatial Modeling of Gas Hydrate-Bearing Sediments in the Shenhu Area, South China Sea — Lin Tan, Xin Feng · Applied Sciences (2025) | TGRS Research Map | TGRS