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Theoretical insights into thermal transport and structural stability mechanisms of triaxial compressed methane hydrate |
Dong-Sheng Chen(陈东升)1, Ting-Ting Miao(缪婷婷)1,†, Cheng Chang(常程)1, Xu-Yang Guo(郭旭洋)2, Meng-Yan Guan(关梦言)1, and Zhong-Li Ji(姬忠礼)1 |
1 Beijing Key Laboratory of Process Fluid Filtration and Separation, College of Mechanical and Transportation Engineering, China University of Petroleum-Beijing, Beijing 102249, China; 2 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China |
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Abstract The heat transfer and stability of methane hydrate in reservoirs have a direct impact on the drilling and production efficiency of hydrate resources, especially in complex stress environments caused by formation subsidence. In this study, we investigated the thermal transport and structural stability of methane hydrate under triaxial compression using molecular dynamics simulations. The results suggest that the thermal conductivity of methane hydrate increases with increasing compression strain. Two phonon transport mechanisms were identified as factors enhancing thermal conductivity. At low compressive strains, a low-frequency phonon transport channel was established due to the overlap of phonon vibration peaks between methane and water molecules. At high compressive strains, the filling of larger phonon bandgaps facilitated the opening of more phonon transport channels. Additionally, we found that a strain of $-0.04$ is a watershed point, where methane hydrate transitions from stable to unstable. Furthermore, a strain of $-0.06$ marks the threshold at which the diffusion capacities of methane and water molecules are at their peaks. At a higher strain of $-0.08$, the increased volume compression reduces the available space, limiting the diffusion ability of water and methane molecules within the hydrate. The synergistic effect of the strong diffusion ability and high probability of collision between atoms increases the thermal conductivity of hydrates during the unstable period compared to the stable period. Our findings offer valuable theoretical insights into the thermal conductivity and stability of methane hydrates in reservoir stress environments.
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Received: 23 April 2024
Revised: 27 May 2024
Accepted manuscript online: 13 June 2024
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PACS:
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65.40.-b
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(Thermal properties of crystalline solids)
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64.60.-i
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(General studies of phase transitions)
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91.50.Hc
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(Gas and hydrate systems)
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31.15.xv
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(Molecular dynamics and other numerical methods)
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 52376083 and 51991362). |
Corresponding Authors:
Ting-Ting Miao
E-mail: mting@cup.edu.cn
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Cite this article:
Dong-Sheng Chen(陈东升), Ting-Ting Miao(缪婷婷), Cheng Chang(常程), Xu-Yang Guo(郭旭洋), Meng-Yan Guan(关梦言), and Zhong-Li Ji(姬忠礼) Theoretical insights into thermal transport and structural stability mechanisms of triaxial compressed methane hydrate 2024 Chin. Phys. B 33 096501
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[1] Sloan E D 2003 Nature 426 353 [2] Ye J, Qin X, Xie W, Lu H, Ma B, Qiu H, Liang J, Lu J, Kuang Z, Lu C, Liang Q, Wei S, Yu Y, Liu C, Li B, Shen K, Shi H, Lu Q, Li J, Kou B, Song G, Li B, Zhang H, Lu H, Ma C, Dong Y and Bian H 2020 China Geol. 3 197 [3] Chibura P E, Zhang W, Luo A and Wang J 2022 J. Nat. Gas Sci. Eng. 100 104441 [4] Yu Y S, Zhang X, Liu J W, Lee Y and Li X S 2021 Energy Environ. Sci. 14 5611 [5] Makogon Y F, Holditch S A and Makogon T Y 2007 J. Pet. Sci. Eng. 56 14 [6] Liang Y, Tan Y, Luo Y, Zhang Y and Li B 2020 J. Cleaner Prod. 261 121061 [7] Song B, Cheng Y, Yan C, Lyu Y, Wei J, Ding J and Li Y 2019 J. Nat. Gas Sci. Eng. 65 197 [8] Chen C, Zhang Y, Li X S, Li G and Chen Z Y 2024 Energy Fuels 38 5928 [9] Guo P, Pan Y K, Li L L and Tang B 2017 Chin. Phys. B 26 073101 [10] Cortes D D, Martin A I, Yun T S, Francisca F M, Santamarina J C and Ruppel C 2009 J. Geophys. Res. Solid Earth 114 B1103 [11] Kim Y J and Yun T S 2013 Mar. Pet. Geol. 47 77 [12] Morita H, Muraoka M and Yamamoto Y 2019 Int. J. Offshore Polar Eng. 29 104 [13] Lei G, Tang J, Zhang L, Wu Q and Li J 2024 Energy 288 129704 [14] Xu K, Lin Y, Shi Q, Li T, Zhang Z and Wu J 2022 Phys. Chem. Chem. Phys. 24 5479 [15] Chen D, Miao T, Chang C, Guo X and Ji Z 2024 Int. J. Heat Mass Transfer 225 125399 [16] Shu J, Chen X, Chou I M, Yang W, Hu J, Hemley R J and Mao H 2011 Geosci. Front. 2 93 [17] Cao P, Wu J, Zhang Z, Fang B and Ning F 2018 J. Phys. Chem. C 122 29081 [18] Lin Y, Liu Y, Xu K, Li T, Zhang Z and Wu J 2022 Adv. Geo-Energy Res. 6 23 [19] Liu J, Fu R, Lin Y, Shi Q, Liu Y, Li T, Zhang Z and Wu J 2022 ACS Sustainable Chem. Eng. 10 10339 [20] Zhang Y, Song Z, Lin Y, Shi Q, Hao Y, Fu Y, Wu J and Zhang Z 2024 J. Phys.: Condens. Matter 36 015101 [21] Wang P, Wang J, Xu K, Lin Y, Shi Q, Li T, Fu Y, Zhang Z and Wu J 2022 J. Mol. Liq. 360 119553 [22] Song Z, Zhou Z, Lin Y, Shi Q, Hao Y, Fu Y, Zhang Z and Wu J 2023 Chin. Phys. B 32 066602 [23] Sloan E D 2003 Nature 426 353 [24] Yousuf M, Qadri S B, Knies D L, Grabowski K S, Coffin R B and Pohlman J W 2004 Appl. Phys. A 78 925 [25] Jewett A I, Stelter D, Lambert J, Saladi S M, Roscioni O M, Ricci M, Autin L, Maritan M, Bashusqeh S M, Keyes T, Dame R T, Shea J E, Jensen G J and Goodsell D S 2021 J. Mol. Biol. 433 166841 [26] Stukowski A 2010 Modell. Simul. Mater. Sci. Eng. 18 015012 [27] Abascal J L F, Sanz E, García Fernández R and Vega C 2005 J. Chem. Phys. 122 234511 [28] Martin M G and Siepmann J I 1998 J. Phys. Chem. B 102 2569 [29] Bernal J D and Fowler R H 1933 J. Chem. Phys. 1 515 [30] Thompson A P, Aktulga H M, Berger R, Bolintineanu D S, Brown W M, Crozier P S, In ’t Veld P J, Kohlmeyer A, Moore S G, Nguyen T D, Shan R, Stevens M J, Tranchida J, Trott C and Plimpton S J 2022 Comput. Phys. Commun. 271 108171 [31] Luty B A and Van Gunsteren W F 1996 J. Phys. Chem. 100 2581 [32] Ryckaert J P, Ciccotti G and Berendsen H J C 1977 J. Comput. Phys. 23 327 [33] Evans D J and Holian B L 1985 J. Chem. Phys. 83 4069 [34] Wang R, Liao B, Wang J, Sun J, Wang Y, Wang J, Wang Q, Qu Y and Cheng R 2023 Chem. Eng. J. 451 138757 [35] Vogelsang R and Hoheisel C 1987 Phys. Rev. A 35 3487 [36] An M, Wang H, Yuan Y, Chen D, Ma W, Sharshir S W, Zheng Z, Zhao Y and Zhang X 2022 Surf. Interfaces 28 101690 [37] Thomas J A, Turney J E, Iutzi R M, Amon C H and McGaughey A J H 2010 Phys. Rev. B 81 081411 [38] Miao T, Xiang M, Chen D, An M and Ma W 2022 Int. J. Heat Mass Transfer 183 122099 [39] Ma D, Wan X and Yang N 2018 Phys. Rev. B 98 245420 [40] Liu H and Paddison S J 2016 Phys. Chem. Chem. Phys. 18 11000 [41] Ramasubramani V, Dice B D, Harper E S, Spellings M P, Anderson J A and Glotzer S C 2020 Comput. Phys. Commun. 254 107275 [42] Humphrey W, Dalke A and Schulten K 1996 J. Mol. Graph. 14 33 [43] Tian S, Wu T, Hu S, Ma D and Zhang L 2024 Appl. Phys. Lett. 124 042202 [44] Rodger P M, Forester T R and Smith W 1996 Fluid Phase Equilib. 116 326 [45] Wang Z, Yang L, Liu C and Lin S 2023 Chin. Phys. B 32 023101 [46] Liu Y, Xu K, Xu Y, Liu J, Wu J and Zhang Z 2022 Nanotechnol. Rev. 11 699 |
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