LAPSE:2023.18492
Published Article
LAPSE:2023.18492
Numerical Simulation Based on the Canister Test for Shale Gas Content Calculation
Shujuan Kang, Le Lu, Hui Tian, Yunfeng Yang, Chengyang Jiang, Qisheng Ma
March 8, 2023
Abstract
The accurate determination of the gas in place in shale reservoirs is a basic but challenging issue for shale gas evaluation. Conventional canister gas desorption tests on retrieved core samples and subsequent data analyses (via linear or polynomial regression)—originally developed for coalbed methane, where gases are mainly stored in the adsorbed phase—is unadvisable for shale gas, which is stored as an appreciable amount of free gas in shale reservoirs. In the present study, a mathematical model that simultaneously takes into account gas expansion, adsorption/desorption, and the gas flow in shale is proposed to simulate gas release from a core sample retrieved from the Lower Silurian Longmaxi Formation of the Fuling shale gas field, Sichuan Basin. The results indicate that, compared with the value of 2.11 m3/t rock estimated with the traditional United States Bureau of Mines (USBM) method, the total gas in place within the studied Longmaxi Shale estimated with our mathematical model under reservoir pressure conditions is up to 5.88 m3/t rock, which is more consistent with the result from the new volumetric approach based on Ambrose et al. According to our mathematical model, the content of free gas is 4.11 m3/t rock at true “time zero”, which accounts for 69.9% of the total gas. On the other hand, the lost gas portion is determined to be up to 4.88 m3/t rock (~85% of the total gas). These results suggest that the majority of the free shale gas is actually trapped within the pore space of the shale formation.
Keywords
canister test, gas content, Longmaxi Shale, mathematical model, shale gas
Suggested Citation
Kang S, Lu L, Tian H, Yang Y, Jiang C, Ma Q. Numerical Simulation Based on the Canister Test for Shale Gas Content Calculation. (2023). LAPSE:2023.18492
Author Affiliations
Kang S: CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China; Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100029, China; Coll [ORCID]
Lu L: Power Environmental & Energy Research Institute, Covina, CA 91722, USA [ORCID]
Tian H: State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
Yang Y: Suzhou Grand Energy Technology Ltd., Suzhou 215129, China
Jiang C: Power Environmental & Energy Research Institute, Covina, CA 91722, USA
Ma Q: ChemEOR Inc., Covina, CA 91722, USA
Journal Name
Energies
Volume
14
Issue
20
First Page
6518
Year
2021
Publication Date
2021-10-11
ISSN
1996-1073
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Original Submission
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PII: en14206518, Publication Type: Journal Article
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LAPSE:2023.18492
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https://doi.org/10.3390/en14206518
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