Full Text

Turn on search term navigation

Copyright © 2022 Jinbiao Fei et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

Power ultrasonic-assisted reservoir modification is a promising technique for enhanced coalbed methane recovery. However, the in-site performance of ultrasound-assisted CBM production has not yet been revealed. In the current study, the in situ antireflection test was conducted with high-power ultrasound ~18 kW in underground coal seam, and the antireflection performance was investigated by measuring the borehole drainage gas data in the field test zone, and then, the in situ permeability change of the target coal seam was evaluated numerically. The result shows that, within 40 days’ drainage after ultrasonic antireflection in coal seam, the average gas concentration of single borehole in the experimental group increased by 81.4 %~227.3% than that in control group, the average borehole gas flowrate has a 20%~106% improvement over the control group, and the pure methane production in single borehole increased by about 3.83 times. The permeability inversion indicates that the in situ coal seam permeability has increased by at least 2.36 times after the ultrasound stimulation within the range of 8 m from the ultrasound source.

Details

Title
Investigation of the Ultrasonic Stimulation Performance on Permeability Enhancement in Coal Seam: Field Tests and In Situ Permeability Evaluation
Author
Jinbiao Fei 1 ; Liu, Peng 2   VIAFID ORCID Logo  ; Wang, LongKang 3   VIAFID ORCID Logo  ; Zhong, Fangxiang 4 ; Xie, Chenglong 2 ; Jiang, Yongdong 2 ; Li, Quangui 2 ; Liu, Mingyang 1 

 College of Safety Science and Engineering, Xi’an University of Science and Technology, Xi'an 710054, China 
 State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400030, China; College of Resources and Safety Engineering, Chongqing University, Chongqing 400030, China 
 China Center for Information Industry Development, Beijing 100048, China 
 School of Emergency Management and Safety Engineering, China University of Mining and Technology Beijing, Beijing 100083, China 
Editor
Yanan Gao
Publication year
2022
Publication date
2022
Publisher
John Wiley & Sons, Inc.
e-ISSN
14688123
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2660754342
Copyright
Copyright © 2022 Jinbiao Fei et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/