Issue |
E3S Web of Conf.
Volume 230, 2021
IV International Scientific and Technical Conference “Gas Hydrate Technologies: Global Trends, Challenges and Horizons” (GHT 2020)
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Article Number | 01002 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202123001002 | |
Published online | 18 January 2021 |
An approximate approach to estimation of dissociation rate of gas hydrate in porous rock bed
1 Oles Honchar Dnipro National University, Department of Fluid Mechanics and Energy & Mass Transfer, 72 Haharina Ave., 49089, Dnipro, Ukraine
2 Dnipro University of Technology, Department of Mining Engineering and Education, 19 Yavornytskoho Ave., 49005, Dnipro, Ukraine
3 Jilin University, College of Construction Engineering, 938 Ximinzhu St, 130061, Changchun, China
* Corresponding author: dreus@mmf.dnu.edu.ua
Development of deep shelf or onshore gas hydrate fields involves drilling wells with subsequent thermal, decompression or chemical action on the bed. In this case, the radius of thermal or decompression action is limited. As the field develops, recovery efficiency decreases, and necessity arises for drilling a new well that influences the cost of the technology. To determine the rational wells location, it is necessary to predict the advance of the phase transformation rate front into the depth of the bed. In this work, to study the movement dynamics of the gas hydrates dissociation front in a porous layer of rock, the Stefan problem solution is used. The method adequacy is substantiated by comparing the calculated results with known experimental data. The temperature fields are modelled in a porous bed during the methane hydrate dissociation. The temperature field dynamics for 200 days in a porous bed during the methane hydrate dissociation caused by thermal action is shown. The influence of porosity and excess temperature on the dissociation front movement rate is revealed.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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