Numerical-Well-Testing Interpretation of Injection/Falloff Testing for Coalbed Methane Well in Hedong Coalfield

Shiyue Fang, Xujing Zhang (), Xinzhan Li, Yue Chen, Baiyi He, Yuan Bao and Dongmin Ma
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Shiyue Fang: College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China
Xujing Zhang: College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China
Xinzhan Li: National Pipe Network Group United Pipeline Co., Ltd., West East Gas Transmiss Gansu-Shaanxi Branch, Xi’an 710021, China
Yue Chen: College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China
Baiyi He: National Pipe Network Group United Pipeline Co., Ltd., West East Gas Transmiss Yinchuang Branch, Yinchuang 750001, China
Yuan Bao: College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China
Dongmin Ma: College of Geology and Environment, Xi’an University of Science & Technology, Xi’an 710054, China

Energies, 2023, vol. 16, issue 13, 1-16

Abstract: Numerical well testing is used mostly in oil/gas, geothermal, and coalbed methane injection/falloff well-testing interpretations while few published studies have been presented on how to adjust the models and numerical experiments parameters. Meanwhile, there is no simple and highly applicable evaluation standard on the approximation degree between the simulated and field-measured pressure response. In this paper, seven groups of numerical experiments were conducted to obtain the simulated pressure response. The Pearson correlation coefficients and the grey correlation between the simulated and field-measured pressure response were calculated to evaluate the approximation degree. In homogeneous, stress-independent, multi-layered, heterogeneous and integrated models, the simulated pressure response curves all fit to the field data well at the early and late time of the falloff period. However, the highest approximation degree was only found in the integrated model. Finally, the permeability, initial pressure, skin factor and investigation radius of the tested CBM reservoir were determined. The results show that, to obtain a reliable interpretation result, it is best to give an approximation degree evaluation standard on the approximation degree between the simulated and field-measured pressure response, build an integrated numerical model, and input the correct parameters, such as the effective thickness and the testing fluid viscosity. Otherwise, it will also drop into a pitfall of multi-results. The method we used is very relevant to CBM exploration and safe mining in Hedong coalfield.

Keywords: IFOT; log–log diagnostic; numerical well testing; CBM well; approximation degree (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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