Integrated Statistical Analysis and Spatial Modeling of Gas Hydrate-Bearing Sediments in the Shenhu Area, South China Sea
Source abstract
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.
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Research context
OpenAlex topics: Methane Hydrates and Related Phenomena · Hydrocarbon exploration and reservoir analysis · Geology and Paleoclimatology Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China
Water Supply Branch Company, Shanghai Chengtou Water Group Co., Ltd., Shanghai 200002, China
Funding
Chinese National Natural Science Foundation
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