Numerical simulation of resistivity and saturation estimation of pore-type gas hydrate reservoirs in the permafrost region of the Qilian Mountains

Author:

Hu Xudong123456,Zou Changchun7,Qin Zhen4,Yuan Hai1,Song Guo1,Xiao Kun1

Affiliation:

1. Engineering Research Center for Seismic Disaster Prevention and Engineering Geological Disaster Detection of Jiangxi Province (East China University of Technology) , Nanchang 330013 , China

2. Key Laboratory of Gas Hydrate, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences , Guangzhou 510640 , China

3. Key Laboratory of Submarine Geosciences, Ministry of Natural Resources , Hangzhou 310012 , China

4. Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology, East China University of Technology , Nanchang 330013 , China

5. Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences , Wuhan 430078 , China

6. Hubei Key Laboratory of Marine Geological Resources, China University of Geosciences , Wuhan 430074 , China

7. School of Geophysics and Information Technology, China University of Geosciences , Beijing 100083 , China

Abstract

Abstract The pore-type hydrate reservoirs in the permafrost region of the Qilian Mountains (PRQM) have complex characteristics, including low porosity, low permeability, high shale content, and conductive minerals. Currently, the research on the electrical properties of these reservoirs still needs to be sufficiently in depth, and there are limitations in well-logging evaluation methods. To fill in this gap, a conductivity model of pore-type gas hydrate reservoirs (GHRs) is established based on the pore-combination modeling theory to investigate the influencing factors of the resistivity characteristics of GHRs through numerical simulations. The comparison between the laboratory-measured resistivity of different hydrate saturations and the results of the calculated model shows good agreement, indicating the accuracy of the conductivity model in describing the electrical characteristics of GHRs in the PRQM. Compared to conductive minerals, the numerical simulation results indicate that the high shale content is the main reason for the decrease in resistivity of pore-type GHRs in the study area. The hydrate saturation evaluation of well DK-3 from 386.3 to 393.6 m depth shows that the hydrate saturation ranges from 5.1 to 66.4%, with an average value of 44.0%. The identified hydrate interval using this model is consistent with the actual hydrate interval encountered during the drilling. This study, as an innovation, can help clarify the conductive mechanism of pore-type GHRs in the PRQM and provide more accurate parameters for evaluating gas hydrate resources in the study area.

Funder

Chinese Academy of Sciences

Ministry of Natural Resources

Jiangxi Provincial Department of Education

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

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