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Changes in reaction surface during the methane hydrate dissociation and its implications for hydrate production

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  • Zhang, Yongchao
  • Wan, Yizhao
  • Liu, Lele
  • Wang, Daigang
  • Li, Chengfeng
  • Liu, Changling
  • Wu, Nengyou

Abstract

The reaction surface area of hydrate (RSAH) inherently controls the reaction rate of hydrate dissociation in the pore spaces, which further affects the gas production behaviour of the hydrate-bearing sediments. The objective of this work is to measure and describe the RSAH evolution during MH dissociation and analyse its implications for gas production. The CT images obtained from different dissociation stages showed the RSAH decreased slowly in the early stage of dissociation and rapidly in the later stage. By considering the pore structure features of sediment, a fractal method was proposed to predict the relationship between RSAH and hydrate saturation, which showed better agreement with the CT experimental results than that of Yousif's model. Further hydrate production numerical simulations embedded with different RSAH predictions indicated that the hydrate production process was significantly influenced by the variations in RSAH. The simulated gas production rate based on the fractal model was lower than that of Yousif's model, the far-field pressure drop in the fractal model was slower, and the advance of the dissociation front and the transfer of the pressure field in Yousif's model was faster than that of the fractal model.

Suggested Citation

  • Zhang, Yongchao & Wan, Yizhao & Liu, Lele & Wang, Daigang & Li, Chengfeng & Liu, Changling & Wu, Nengyou, 2021. "Changes in reaction surface during the methane hydrate dissociation and its implications for hydrate production," Energy, Elsevier, vol. 230(C).
  • Handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221010963
    DOI: 10.1016/j.energy.2021.120848
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    References listed on IDEAS

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    1. Huang, Li & Yin, Zhenyuan & Wan, Yizhao & Sun, Jianye & Wu, Nengyou & Veluswamy, Hari Prakash, 2020. "Evaluation and comparison of gas production potential of the typical four gas hydrate deposits in Shenhu area, South China sea," Energy, Elsevier, vol. 204(C).
    2. Cai, Jianchao & Zhang, Zhien & Wei, Wei & Guo, Dongming & Li, Shuai & Zhao, Peiqiang, 2019. "The critical factors for permeability-formation factor relation in reservoir rocks: Pore-throat ratio, tortuosity and connectivity," Energy, Elsevier, vol. 188(C).
    3. Machiko Tamaki & Tetsuya Fujii & Kiyofumi Suzuki, 2017. "Characterization and Prediction of the Gas Hydrate Reservoir at the Second Offshore Gas Production Test Site in the Eastern Nankai Trough, Japan," Energies, MDPI, vol. 10(10), pages 1-13, October.
    4. Kou, Xuan & Li, Xiao-Sen & Wang, Yi & Wan, Kun & Chen, Zhao-Yang, 2021. "Pore-scale analysis of relations between seepage characteristics and gas hydrate growth habit in porous sediments," Energy, Elsevier, vol. 218(C).
    5. Li, Yanlong & Wu, Nengyou & Ning, Fulong & Gao, Deli & Hao, Xiluo & Chen, Qiang & Liu, Changling & Sun, Jianye, 2020. "Hydrate-induced clogging of sand-control screen and its implication on hydrate production operation," Energy, Elsevier, vol. 206(C).
    6. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    7. Lu, Nu & Hou, Jian & Liu, Yongge & Barrufet, Maria A. & Bai, Yajie & Ji, Yunkai & Zhao, Ermeng & Chen, Weiqing & Zhou, Kang, 2019. "Revised inflow performance relationship for productivity prediction and energy evaluation based on stage characteristics of Class III methane hydrate deposits," Energy, Elsevier, vol. 189(C).
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    Cited by:

    1. Liu, Weiguo & Song, Qi & Wu, Peng & Liu, Tao & Huang, Lei & Zhang, Shuheng & Li, Yanghui, 2023. "Triaxial tests on anisotropic consolidated methane hydrate-bearing clayey-silty sediments of the South China Sea," Energy, Elsevier, vol. 284(C).
    2. Liu, Tao & Wu, Peng & You, Zeshao & Yu, Tao & Song, Qi & Song, Yuanxin & Li, Yanghui, 2023. "Deformation characteristics on anisotropic consolidated methane hydrate clayey-silty sediments of the South China Sea under heat injection," Energy, Elsevier, vol. 280(C).
    3. Liao, Youqiang & Zheng, Junjie & Wang, Zhiyuan & Sun, Baojiang & Sun, Xiaohui & Linga, Praveen, 2022. "Modeling and characterizing the thermal and kinetic behavior of methane hydrate dissociation in sandy porous media," Applied Energy, Elsevier, vol. 312(C).
    4. Zhang, Zhengcai & Kusalik, Peter G. & Wu, Nengyou & Liu, Changling & Zhang, Yongchao, 2022. "Molecular simulation study on the stability of methane hydrate confined in slit-shaped pores," Energy, Elsevier, vol. 257(C).

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