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Combining reactive transport modeling with geochemical observations to estimate the natural gas hydrate accumulation

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  • Tian, Hailong
  • Yu, Ceting
  • Xu, Tianfu
  • Liu, Changling
  • Jia, Wei
  • Li, Yuanping
  • Shang, Songhua

Abstract

Predicting the distribution and resource of gas hydrates and understanding gas hydrate forming mechanisms are critical for assessing natural gas hydrate exploration potential, as well as exploiting hydrates. This study aims to provide a portable solution for evaluating resource of natural gas hydrate and quantifying contribution of methane sources via numerical simulations constrained by site-specific data. To numerically describe the complex process of biogenic methane production, an integrated simulation package, TOUGH + Hydrate + React (TOUGH + HR), was developed by coupling reactive transport, biodegradation and deposition of organic matter with behavior of hydrate-bearing system. Based on observed data from site SH2 in the South China Sea, a growing one-dimensional column model was constructed, and simulated via the developed TOUGH + HR tool. The results showed that when considering biogenic methane was the only source for hydrate, simulated maximum saturation of hydrate reached ~ 0.19, which is much lower than the observed value (~0.46), suggesting that the in-situ biogenic methane is not enough to form the high-saturation hydrate. When the upward flux of methane (considered as thermogenic methane) increased to 1.00 × 10−11kg·m-2·s-1, both simulated saturation and distribution of hydrates matched the observed data well, including the profile of remained total organic carbon (TOC), the location of interface between dissolved methane and sulfate (SMI), and the derived chlorinity. Simulation results suggest that the ratio of biogenic methane to thermogenic methane forming hydrates was about 1:3. Predicted amount of methane hydrate using the column model was 3258.33 kg, very close to the estimated based on field observation (3112.82 kg).

Suggested Citation

  • Tian, Hailong & Yu, Ceting & Xu, Tianfu & Liu, Changling & Jia, Wei & Li, Yuanping & Shang, Songhua, 2020. "Combining reactive transport modeling with geochemical observations to estimate the natural gas hydrate accumulation," Applied Energy, Elsevier, vol. 275(C).
  • Handle: RePEc:eee:appene:v:275:y:2020:i:c:s0306261920308746
    DOI: 10.1016/j.apenergy.2020.115362
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    1. Maria De La Fuente & Sandra Arndt & Héctor Marín-Moreno & Tim A. Minshull, 2022. "Assessing the Benthic Response to Climate-Driven Methane Hydrate Destabilisation: State of the Art and Future Modelling Perspectives," Energies, MDPI, vol. 15(9), pages 1-32, May.
    2. Mahboubeh Rahmati-Abkenar & Milad Alizadeh & Marcelo Ketzer, 2021. "A New Dynamic Modeling Approach to Predict Microbial Methane Generation and Consumption in Marine Sediments," Energies, MDPI, vol. 14(18), pages 1-17, September.
    3. Chaturvedi, Krishna Raghav & Sinha, A.S.K. & Nair, Vishnu Chandrasekharan & Sharma, Tushar, 2021. "Enhanced carbon dioxide sequestration by direct injection of flue gas doped with hydrogen into hydrate reservoir: Possibility of natural gas production," Energy, Elsevier, vol. 227(C).

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