Investigating the effective permeability evolution as a function of hydrate saturation in the hydrate-bearing sands using a kinetic-theory-based pore network model

Yongchao Zhang, Chengfeng Li, Jingsheng Ma, Lele Liu, Naser Golsanami, Yizhao Wan, Changling Liu

Research output: Contribution to journalArticlepeer-review

Abstract

Permeability governs the fluid flow of hydrate-bearing sediment and affects the efficiency of natural gas production from hydrate reservoirs. The permeability in hydrate-bearings sediments is estimated empirically and appears to vary widely for sediments. This study focused on the sandy hydrate-bearing sediments and intended to elucidate the evolution of effective permeability by the mean of pore network modeling. A hydrate kinetics theory-based pore network model (KT-PNM) has been developed, in which the simulation of hydrate formation in porous media is implemented by employing two sub-processes, i.e., hydrate nucleation and hydrate growth. This KT-PNM has been applied to simulate hydrate formation in different pore networks. The permeability reduction exponent (N) for sandy hydrate-bearing sediments is determined to fall in the range of 3–4 based on the simulations of seven sandy samples. An empirical equation used for predicting the effective permeability in sandy hydrate-bearing sediments has been further proposed. The developed model and simulations are hoped to provide valuable insights of pore-space effects on hydrate into permeability prediction for studying the fluid seepage in hydrate-bearing sediments and facilitate the numerical simulation of gas production from the hydrate reservoirs.
Original languageEnglish
Article number104930
JournalComputers and Geotechnics
Volume150
Early online date26 Jul 2022
DOIs
Publication statusE-pub ahead of print - 26 Jul 2022

Keywords

  • Effective permeability
  • Hydrate formation
  • Hydrate saturation
  • Natural gas hydrate
  • Permeability reduction exponent
  • Pore network modeling

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Computer Science Applications

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