LAPSE:2019.1110
Published Article
LAPSE:2019.1110
Mathematical Modeling and Simulation on the Stimulation Interactions in Coalbed Methane Thermal Recovery
Teng Teng, Yingheng Wang, Xiang He, Pengfei Chen
October 26, 2019
Heat stimulation of coalbed methane (CBM) reservoirs has remarkable promotion to gas desorption that enhances gas recovery. However, coalbed deformation, methane delivery and heat transport interplay each other during the stimulation process. This paper experimentally validated the evolutions of gas sorption and coal permeability under variable temperature. Then, a completely coupled heat-gas-coal model was theoretically developed and applied to a computational simulation of CBM thermal recovery based on a finite element approach of COMSOL with MATLAB. Modeling and simulation results show that: Although different heat-gas-coal interactions have different effects on CBM recovery, thermal stimulation of coalbed can promote methane production effectively. However, CBM thermal recovery needs a forerunner heating time before the apparent enhancement of production. The modeling and simulation results may improve the current cognitions of CBM thermal recovery.
Keywords
coalbed methane thermal recovery, heat-gas-coal model, modeling and simulation, thermal stimulation interaction
Suggested Citation
Teng T, Wang Y, He X, Chen P. Mathematical Modeling and Simulation on the Stimulation Interactions in Coalbed Methane Thermal Recovery. (2019). LAPSE:2019.1110
Author Affiliations
Teng T: School of Energy and Mining Engineering, China University of Mining and Technology, Beijing 100083, China; State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing 100083, China [ORCID]
Wang Y: School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
He X: School of Energy and Mining Engineering, China University of Mining and Technology, Beijing 100083, China
Chen P: School of Energy and Mining Engineering, China University of Mining and Technology, Beijing 100083, China
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Journal Name
Processes
Volume
7
Issue
8
Article Number
E526
Year
2019
Publication Date
2019-08-08
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7080526, Publication Type: Journal Article
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LAPSE:2019.1110
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doi:10.3390/pr7080526
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Oct 26, 2019
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CC BY 4.0
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[v1] (Original Submission)
Oct 26, 2019
 
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Oct 26, 2019
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Original Submitter
Calvin Tsay
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