Permeability prediction in hydrate-bearing sediments via pore network modeling

Natural gas hydrates in marine sediments undergo phase transitions under non-equilibrium conditions, making it challenging to accurately measure the permeability characteristics of hydrate-bearing sediments using experimental methods. In this study, pore network modeling is utilized to simulate the hydrate formation process and investigate the singlephase and two-phase permeability of hydrate-bearing sediments, and a comparative analysis was performed on consolidated and unconsolidated sediment samples. The results revealed the evolution of effective permeability as a function of hydrate saturation, and quantitative relationships were observed for the water retention curves and gas-water relative permeability, emphasizing the influence of pore structure and hydrate distribution on flow behavior. On the basis of the simulation results, predictive methods for irreducible water saturation, maximum water saturation, and key parameters in the van Genuchten and Brooks-Corey models for hydrate-bearing sediments are proposed. The findings provide deeper insights into gas-water flow dynamics in hydrate-bearing sediments and offer valuable guidance for hydrate resource exploitation, the assessment of environmental risks associated with hydrate dissociation, and the evaluation of carbon sequestration potential. Document Type: Original article Cited as: Zhang, Y., Liu, L., Luo, L., Ma, J., Ji, Y., Xiao, T., Wu, N. Permeability prediction in hydrate-bearing sediments via pore network modeling. Advances in Geo-Energy Research, 2025, 16(2): 158-170. https://doi.org/10.46690/ager.2025.05.07

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Publication Details

Journal
ADVANCES IN GEO-ENERGY RESEARCH
Published
2025-05-02
DOI
https://doi.org/10.46690/ager.2025.05.07
Citations
16
Primary Topic
Methane Hydrates and Related Phenomena
Type
article
Field-Weighted Citation Impact
13.76

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article

Permeability prediction in hydrate-bearing sediments via pore network modeling

Nengyou Wu, Yunkai Ji, Lele Liu, Yongchao Zhang et al.
16 citations
ADVANCES IN GEO-ENERGY RESEARCH
Methane Hydrates and Related Phenomena
13.76
article

Permeability prediction in hydrate-bearing sediments via pore network modeling

Nengyou Wu, Yunkai Ji, Lele Liu, Yongchao Zhang, Ting Xiao, Jingsheng Ma, Liang Luo
article en
16 citations

Abstract

Natural gas hydrates in marine sediments undergo phase transitions under non-equilibrium conditions, making it challenging to accurately measure the permeability characteristics of hydrate-bearing sediments using experimental methods. In this study, pore network modeling is utilized to simulate the hydrate formation process and investigate the singlephase and two-phase permeability of hydrate-bearing sediments, and a comparative analysis was performed on consolidated and unconsolidated sediment samples. The results revealed the evolution of effective permeability as a function of hydrate saturation, and quantitative relationships were observed for the water retention curves and gas-water relative permeability, emphasizing the influence of pore structure and hydrate distribution on flow behavior. On the basis of the simulation results, predictive methods for irreducible water saturation, maximum water saturation, and key parameters in the van Genuchten and Brooks-Corey models for hydrate-bearing sediments are proposed. The findings provide deeper insights into gas-water flow dynamics in hydrate-bearing sediments and offer valuable guidance for hydrate resource exploitation, the assessment of environmental risks associated with hydrate dissociation, and the evaluation of carbon sequestration potential. Document Type: Original article Cited as: Zhang, Y., Liu, L., Luo, L., Ma, J., Ji, Y., Xiao, T., Wu, N. Permeability prediction in hydrate-bearing sediments via pore network modeling. Advances in Geo-Energy Research, 2025, 16(2): 158-170. https://doi.org/10.46690/ager.2025.05.07

ADVANCES IN GEO-ENERGY RESEARCHVol. 16(2)
University of Utah (US), Heriot-Watt University (GB), Qingdao National Laboratory for Marine Science and Technology (CN), Qingdao Institute of Marine Geology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Natural Environment Research Council
Climate action
Openalex Percentile: Top 1%
Methane Hydrates and Related Phenomena
13.76
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