Microscale Seepage Simulation of Two Hydrate-Bearing Sediment Models Based on the Lattice Boltzmann Method

The extraction of natural gas hydrates faces challenges due to unresolved in situ decomposition and permeability mechanisms, with reservoir permeability being a pivotal parameter for extraction safety, efficiency, and economics. This study addresses this by developing a novel competition model and models reconstructed via a multi-point statistical method based on real CT images. Using the lattice Boltzmann method, we examine the influence of key factors, such as porosity and saturation, on permeability. Since single-hydrate-morphology models often fail to match practical observations, we propose a competition model that describes the dynamic transition from grain-coating to pore-filling habits. Simulations show that predictions from the competition model converge more closely with experimental data than single-state models. Furthermore, the MPS-based reconstructions provide a realistic benchmark, validating the representativeness of the modeling approaches. The framework demonstrates promising potential for capturing diverse sedimentary scenarios, indicating wide applicability and avenues for future research.

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Publication Details

Journal
Energy & Fuels
Published
2026-03-12
DOI
https://doi.org/10.1021/acs.energyfuels.5c06689
Primary Topic
Lattice Boltzmann Simulation Studies
Type
article
Field-Weighted Citation Impact
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article

Microscale Seepage Simulation of Two Hydrate-Bearing Sediment Models Based on the Lattice Boltzmann Method

Hao Ji, Xiaosen Li, Yu Zhang, Yi Wang et al.
Energy & Fuels
Lattice Boltzmann Simulation Studies
article

Microscale Seepage Simulation of Two Hydrate-Bearing Sediment Models Based on the Lattice Boltzmann Method

Hao Ji, Xiaosen Li, Yu Zhang, Yi Wang, Zhaoyang Chen
article en

Abstract

The extraction of natural gas hydrates faces challenges due to unresolved in situ decomposition and permeability mechanisms, with reservoir permeability being a pivotal parameter for extraction safety, efficiency, and economics. This study addresses this by developing a novel competition model and models reconstructed via a multi-point statistical method based on real CT images. Using the lattice Boltzmann method, we examine the influence of key factors, such as porosity and saturation, on permeability. Since single-hydrate-morphology models often fail to match practical observations, we propose a competition model that describes the dynamic transition from grain-coating to pore-filling habits. Simulations show that predictions from the competition model converge more closely with experimental data than single-state models. Furthermore, the MPS-based reconstructions provide a realistic benchmark, validating the representativeness of the modeling approaches. The framework demonstrates promising potential for capturing diverse sedimentary scenarios, indicating wide applicability and avenues for future research.

Energy & FuelsVol. 40(12)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN), Guangzhou Institute of Energy Conversion (CN)
Life below water
Openalex Percentile: Top 22%
Lattice Boltzmann Simulation Studies
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