LAPSE:2023.9983
Published Article

LAPSE:2023.9983
Inversion Study on Parameters of Cascade Coexisting Gas-Bearing Reservoirs in Huainan Coal Measures
February 27, 2023
Abstract
The prediction and development of three gases, mainly coalbed methane, shale gas, and tight sandstone gas, in the Huainan coal measures of China, has been the focus of local coal mines. However, due to the overlapping and coexisting characteristics of the three gas reservoirs in Huainan coal measure strata, it is challenging to develop the three gas. The coal mine has been creating a single pool for a long time, resulting in the severe waste of other gas resources in developing the gas-bearing resources in the coal measure strata. The gas-containing reservoir is predicted based on geological, seismic, and logging in Huainan Mining. In addition, determining the excellent area for reference for the development of three gas resources. First, using logging data, mathematical−statistical methods are used to analyze the physical parameters of gas-bearing reservoirs in multi-layered stacked coal seams. Then, based on the theory of prestack seismic inversion, parameters, such as the impedance of P-wave, the ratio of P-wave velocity and S-wave, Lamé constant, Young’s modulus, and Poisson’s ratio and lithological distribution, are obtained for the whole area. The gas-bearing information of the reservoir is received by the statistics and equation of the parameter intersection diagram and is closely related to exploration and development. Finally, the paper synthetically predicts the most favorable area of the gas-bearing reservoir in the study area. The prediction results are compared with the actual results of coalbed methane content in the existing extraction wells, proving that the method is feasible and can provide the basis for the deployment and development of the well location.
The prediction and development of three gases, mainly coalbed methane, shale gas, and tight sandstone gas, in the Huainan coal measures of China, has been the focus of local coal mines. However, due to the overlapping and coexisting characteristics of the three gas reservoirs in Huainan coal measure strata, it is challenging to develop the three gas. The coal mine has been creating a single pool for a long time, resulting in the severe waste of other gas resources in developing the gas-bearing resources in the coal measure strata. The gas-containing reservoir is predicted based on geological, seismic, and logging in Huainan Mining. In addition, determining the excellent area for reference for the development of three gas resources. First, using logging data, mathematical−statistical methods are used to analyze the physical parameters of gas-bearing reservoirs in multi-layered stacked coal seams. Then, based on the theory of prestack seismic inversion, parameters, such as the impedance of P-wave, the ratio of P-wave velocity and S-wave, Lamé constant, Young’s modulus, and Poisson’s ratio and lithological distribution, are obtained for the whole area. The gas-bearing information of the reservoir is received by the statistics and equation of the parameter intersection diagram and is closely related to exploration and development. Finally, the paper synthetically predicts the most favorable area of the gas-bearing reservoir in the study area. The prediction results are compared with the actual results of coalbed methane content in the existing extraction wells, proving that the method is feasible and can provide the basis for the deployment and development of the well location.
Record ID
Keywords
brittle index, coalbed methane (CBM), gas-bearing property, prestack seismic inversion
Subject
Suggested Citation
Chen B, Liu B, Du Y, Dong G, Wang C, Wang Z, Wang R, Cui F. Inversion Study on Parameters of Cascade Coexisting Gas-Bearing Reservoirs in Huainan Coal Measures. (2023). LAPSE:2023.9983
Author Affiliations
Chen B: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China [ORCID]
Liu B: School of Earth Science and Engineering, Hebei University of Engineering, No. 19 Tai Chi Road, Economic and Technological Development Zone, Handan 056083, China
Du Y: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China [ORCID]
Dong G: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Wang C: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Wang Z: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Wang R: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Cui F: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Liu B: School of Earth Science and Engineering, Hebei University of Engineering, No. 19 Tai Chi Road, Economic and Technological Development Zone, Handan 056083, China
Du Y: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China [ORCID]
Dong G: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Wang C: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Wang Z: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Wang R: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Cui F: College of Geosciences and Surveying Engineering, China University of Mining and Technology-Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China
Journal Name
Energies
Volume
15
Issue
17
First Page
6208
Year
2022
Publication Date
2022-08-26
ISSN
1996-1073
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PII: en15176208, Publication Type: Journal Article
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LAPSE:2023.9983
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