Sensitivity Analysis of Rock Electrical Influencing Factors of Natural Gas Hydrate Reservoir in Permafrost Region of Qilian Mountain, China

It has been found that the relatively low abundance of gas hydrate in the Muli area of the Qilian Mountain causes gas hydrate reservoirs to have low-resistivity characteristics similar to those of low-resistivity oil and gas reservoirs. Therefore, it has great significance to research the main contr...

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Published in:Energies
Main Authors: Zhenzhou Lin, Huaimin Dong, Hui Fang, Jianmeng Sun, Xiaojiang Wang
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2019
Subjects:
Online Access:https://doi.org/10.3390/en12234592
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spelling ftmdpi:oai:mdpi.com:/1996-1073/12/23/4592/ 2023-08-20T04:09:14+02:00 Sensitivity Analysis of Rock Electrical Influencing Factors of Natural Gas Hydrate Reservoir in Permafrost Region of Qilian Mountain, China Zhenzhou Lin Huaimin Dong Hui Fang Jianmeng Sun Xiaojiang Wang 2019-12-03 application/pdf https://doi.org/10.3390/en12234592 EN eng Multidisciplinary Digital Publishing Institute H: Geo-Energy https://dx.doi.org/10.3390/en12234592 https://creativecommons.org/licenses/by/4.0/ Energies; Volume 12; Issue 23; Pages: 4592 Qilian Mountain digital rock electrical property orthogonal analysis sensitivity analysis Text 2019 ftmdpi https://doi.org/10.3390/en12234592 2023-07-31T22:51:23Z It has been found that the relatively low abundance of gas hydrate in the Muli area of the Qilian Mountain causes gas hydrate reservoirs to have low-resistivity characteristics similar to those of low-resistivity oil and gas reservoirs. Therefore, it has great significance to research the main controlling factors affecting the electrical properties, and then come up a new logging identification and evaluation model for low-resistivity gas hydrate reservoirs. In this investigation, the rock samples of sandstone from gas hydrate reservoirs were scanned by CT and combined with gas hydrate distribution characteristics. The three-dimensional digital rocks with different hydrate saturation were constructed using the diffusion limited aggregation (DLA) model, and the resistivity was simulated via the finite element method. After sorting out the influencing factors of electrical characteristics, the sensitivity of the factors affecting electrical properties was evaluated using orthogonal analysis, using variance analysis and trend analysis to quantitatively evaluate the influencing factors of rock electrical sensitivity, so as to distinguish the main and secondary factors affecting rock electrical sensitivity. The results show that the sensitivity of rock electrical properties to the six influencing factors from strong to weak are: formation water salinity, water film thickness, shale content, conductive mineral content, micropores, and average coordination number. Text permafrost MDPI Open Access Publishing Energies 12 23 4592
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic Qilian Mountain
digital rock
electrical property
orthogonal analysis
sensitivity analysis
spellingShingle Qilian Mountain
digital rock
electrical property
orthogonal analysis
sensitivity analysis
Zhenzhou Lin
Huaimin Dong
Hui Fang
Jianmeng Sun
Xiaojiang Wang
Sensitivity Analysis of Rock Electrical Influencing Factors of Natural Gas Hydrate Reservoir in Permafrost Region of Qilian Mountain, China
topic_facet Qilian Mountain
digital rock
electrical property
orthogonal analysis
sensitivity analysis
description It has been found that the relatively low abundance of gas hydrate in the Muli area of the Qilian Mountain causes gas hydrate reservoirs to have low-resistivity characteristics similar to those of low-resistivity oil and gas reservoirs. Therefore, it has great significance to research the main controlling factors affecting the electrical properties, and then come up a new logging identification and evaluation model for low-resistivity gas hydrate reservoirs. In this investigation, the rock samples of sandstone from gas hydrate reservoirs were scanned by CT and combined with gas hydrate distribution characteristics. The three-dimensional digital rocks with different hydrate saturation were constructed using the diffusion limited aggregation (DLA) model, and the resistivity was simulated via the finite element method. After sorting out the influencing factors of electrical characteristics, the sensitivity of the factors affecting electrical properties was evaluated using orthogonal analysis, using variance analysis and trend analysis to quantitatively evaluate the influencing factors of rock electrical sensitivity, so as to distinguish the main and secondary factors affecting rock electrical sensitivity. The results show that the sensitivity of rock electrical properties to the six influencing factors from strong to weak are: formation water salinity, water film thickness, shale content, conductive mineral content, micropores, and average coordination number.
format Text
author Zhenzhou Lin
Huaimin Dong
Hui Fang
Jianmeng Sun
Xiaojiang Wang
author_facet Zhenzhou Lin
Huaimin Dong
Hui Fang
Jianmeng Sun
Xiaojiang Wang
author_sort Zhenzhou Lin
title Sensitivity Analysis of Rock Electrical Influencing Factors of Natural Gas Hydrate Reservoir in Permafrost Region of Qilian Mountain, China
title_short Sensitivity Analysis of Rock Electrical Influencing Factors of Natural Gas Hydrate Reservoir in Permafrost Region of Qilian Mountain, China
title_full Sensitivity Analysis of Rock Electrical Influencing Factors of Natural Gas Hydrate Reservoir in Permafrost Region of Qilian Mountain, China
title_fullStr Sensitivity Analysis of Rock Electrical Influencing Factors of Natural Gas Hydrate Reservoir in Permafrost Region of Qilian Mountain, China
title_full_unstemmed Sensitivity Analysis of Rock Electrical Influencing Factors of Natural Gas Hydrate Reservoir in Permafrost Region of Qilian Mountain, China
title_sort sensitivity analysis of rock electrical influencing factors of natural gas hydrate reservoir in permafrost region of qilian mountain, china
publisher Multidisciplinary Digital Publishing Institute
publishDate 2019
url https://doi.org/10.3390/en12234592
genre permafrost
genre_facet permafrost
op_source Energies; Volume 12; Issue 23; Pages: 4592
op_relation H: Geo-Energy
https://dx.doi.org/10.3390/en12234592
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/en12234592
container_title Energies
container_volume 12
container_issue 23
container_start_page 4592
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