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Revised inflow performance relationship for productivity prediction and energy evaluation based on stage characteristics of Class III methane hydrate deposits

Author

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  • Lu, Nu
  • Hou, Jian
  • Liu, Yongge
  • Barrufet, Maria A.
  • Bai, Yajie
  • Ji, Yunkai
  • Zhao, Ermeng
  • Chen, Weiqing
  • Zhou, Kang

Abstract

Productivity prediction and energy evaluation can reduce the economic risk of hydrate development. Meanwhile, the study of conventional resources provides useful reference and guidance. Therefore, this paper aims to establish Inflow Performance Relationship (IPR) formulas for the multiphase, non-isothermal flow in Class III methane hydrate deposits. The production process is divided into ascent and decline stage based on production characteristics. Fetkovich’s formula and Vogel’s formula are selected respectively for these stages. To revise these formulas, new index and pressure value are introduced to reflect the complexity and variability of hydrate production. New index called pseudo-pressure describes the compound effect of multi-driven forces. New value of minimum production pressure can avoid the adverse impact of ice block. Coefficients in these formulas are quantitatively characterized by selected key factors. The coefficient in Fetkovich’s formula is characterized by layer thickness and gas flowablity. The coefficient in Vogel’s formula is characterized by hydrate saturation, layer thickness and salinity. The verified results indicate that the average errors of the revised Fetkovich’s formula is around 8% and under 11% for the revised Vogel’s formula. This means these revised IPR formulas can provide guidance for the productivity prediction and evaluation of Class III methane hydrate deposits.

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  • 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).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319061
    DOI: 10.1016/j.energy.2019.116211
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    as
    1. Liu, Yongge & Hou, Jian & Zhao, Haifeng & Liu, Xiaoyu & Xia, Zhizeng, 2018. "A method to recover natural gas hydrates with geothermal energy conveyed by CO2," Energy, Elsevier, vol. 144(C), pages 265-278.
    2. Liu, Yongge & Hou, Jian & Zhao, Haifeng & Liu, Xiaoyu & Xia, Zhizeng, 2019. "Numerical simulation of simultaneous exploitation of geothermal energy and natural gas hydrates by water injection into a geothermal heat exchange well," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 467-481.
    3. Feng, Jing-Chun & Wang, Yi & Li, Xiao-Sen, 2017. "Entropy generation analysis of hydrate dissociation by depressurization with horizontal well in different scales of hydrate reservoirs," Energy, Elsevier, vol. 125(C), pages 62-71.
    4. Feng, Jing-Chun & Wang, Yi & Li, Xiao-Sen, 2016. "Energy and entropy analyses of hydrate dissociation in different scales of hydrate simulator," Energy, Elsevier, vol. 102(C), pages 176-186.
    5. Terzariol, M. & Goldsztein, G. & Santamarina, J.C., 2017. "Maximum recoverable gas from hydrate bearing sediments by depressurization," Energy, Elsevier, vol. 141(C), pages 1622-1628.
    6. Chen, Lin & Feng, Yongchang & Kogawa, Takuma & Okajima, Junnosuke & Komiya, Atsuki & Maruyama, Shigenao, 2018. "Construction and simulation of reservoir scale layered model for production and utilization of methane hydrate: The case of Nankai Trough Japan," Energy, Elsevier, vol. 143(C), pages 128-140.
    7. Shi, Lingli & Ding, Jiaxiang & Liang, Deqing, 2019. "Enhanced CH4 storage in hydrates with the presence of sucrose stearate," Energy, Elsevier, vol. 180(C), pages 978-988.
    8. Yang, Lei & Ai, Li & Xue, Kaihua & Ling, Zheng & Li, Yanghui, 2018. "Analyzing the effects of inhomogeneity on the permeability of porous media containing methane hydrates through pore network models combined with CT observation," Energy, Elsevier, vol. 163(C), pages 27-37.
    9. Yuan, Qing & Sun, Chang-Yu & Yang, Xin & Ma, Ping-Chuan & Ma, Zheng-Wei & Liu, Bei & Ma, Qing-Lan & Yang, Lan-Ying & Chen, Guang-Jin, 2012. "Recovery of methane from hydrate reservoir with gaseous carbon dioxide using a three-dimensional middle-size reactor," Energy, Elsevier, vol. 40(1), pages 47-58.
    10. Feng, Yongchang & Chen, Lin & Suzuki, Anna & Kogawa, Takuma & Okajima, Junnosuke & Komiya, Atsuki & Maruyama, Shigenao, 2019. "Numerical analysis of gas production from layered methane hydrate reservoirs by depressurization," Energy, Elsevier, vol. 166(C), pages 1106-1119.
    11. Hou, Jian & Zhao, Ermeng & Liu, Yongge & Ji, Yunkai & Lu, Nu & Liu, Yueliang & Li, Huazhou Andy & Bai, Yajie, 2019. "Pressure-transient behavior in class III hydrate reservoirs," Energy, Elsevier, vol. 170(C), pages 391-402.
    12. Chong, Zheng Rong & Koh, Jun Wee & Linga, Praveen, 2017. "Effect of KCl and MgCl2 on the kinetics of methane hydrate formation and dissociation in sandy sediments," Energy, Elsevier, vol. 137(C), pages 518-529.
    13. Wang, Yi & Feng, Jing-Chun & Li, Xiao-Sen & Zhang, Yu, 2018. "Influence of well pattern on gas recovery from methane hydrate reservoir by large scale experimental investigation," Energy, Elsevier, vol. 152(C), pages 34-45.
    14. Yu, Tao & Guan, Guoqing & Abudula, Abuliti & Yoshida, Akihiro & Wang, Dayong & Song, Yongchen, 2019. "Gas recovery enhancement from methane hydrate reservoir in the Nankai Trough using vertical wells," Energy, Elsevier, vol. 166(C), pages 834-844.
    15. Huang, Li & Su, Zheng & Wu, Neng-You, 2015. "Evaluation on the gas production potential of different lithological hydrate accumulations in marine environment," Energy, Elsevier, vol. 91(C), pages 782-798.
    16. Lu, Nu & Hou, Jian & Liu, Yongge & Barrufet, Maria A. & Ji, Yunkai & Xia, Zhizeng & Xu, Boyue, 2018. "Stage analysis and production evaluation for class III gas hydrate deposit by depressurization," Energy, Elsevier, vol. 165(PB), pages 501-511.
    17. Gambelli, Alberto Maria & Rossi, Federico, 2019. "Natural gas hydrates: Comparison between two different applications of thermal stimulation for performing CO2 replacement," Energy, Elsevier, vol. 172(C), pages 423-434.
    18. Feng, Jing-Chun & Wang, Yi & Li, Xiao-Sen & Li, Gang & Zhang, Yu & Chen, Zhao-Yang, 2015. "Effect of horizontal and vertical well patterns on methane hydrate dissociation behaviors in pilot-scale hydrate simulator," Applied Energy, Elsevier, vol. 145(C), pages 69-79.
    19. Wang, Yi & Feng, Jing-Chun & Li, Xiao-Sen & Zhan, Lei & Li, Xiao-Yan, 2018. "Pilot-scale experimental evaluation of gas recovery from methane hydrate using cycling-depressurization scheme," Energy, Elsevier, vol. 160(C), pages 835-844.
    20. Feng, Jing-Chun & Wang, Yi & Li, Xiao-Sen & Li, Gang & Chen, Zhao-Yang, 2015. "Production behaviors and heat transfer characteristics of methane hydrate dissociation by depressurization in conjunction with warm water stimulation with dual horizontal wells," Energy, Elsevier, vol. 79(C), pages 315-324.
    21. Wang, Yi & Feng, Jing-Chun & Li, Xiao-Sen & Zhang, Yu & Li, Gang, 2015. "Analytic modeling and large-scale experimental study of mass and heat transfer during hydrate dissociation in sediment with different dissociation methods," Energy, Elsevier, vol. 90(P2), pages 1931-1948.
    22. Hou, Jian & Xia, Zhizeng & Li, Shuxia & Zhou, Kang & Lu, Nu, 2016. "Operation parameter optimization of a gas hydrate reservoir developed by cyclic hot water stimulation with a separated-zone horizontal well based on particle swarm algorithm," Energy, Elsevier, vol. 96(C), pages 581-591.
    23. Sun, Xiang & Li, Yanghui & Liu, Yu & Song, Yongchen, 2019. "The effects of compressibility of natural gas hydrate-bearing sediments on gas production using depressurization," Energy, Elsevier, vol. 185(C), pages 837-846.
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    Cited by:

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    2. 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).
    3. Foroutan, Shima & Mohsenzade, Hanie & Dashti, Ali & Roosta, Hadi, 2021. "New insights into the evaluation of kinetic hydrate inhibitors and energy consumption in rocking and stirred cells," Energy, Elsevier, vol. 218(C).
    4. Zhang, Panpan & Tian, Shouceng & Zhang, Yiqun & Li, Gensheng & Zhang, Wenhong & Khan, Waleed Ali & Ma, Luyao, 2021. "Numerical simulation of gas recovery from natural gas hydrate using multi-branch wells: A three-dimensional model," Energy, Elsevier, vol. 220(C).

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