2022
DOI: 10.3390/en16010367
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Coalbed Methane Reservoir Parameter Prediction and Sweet-Spot Comprehensive Evaluation Based on 3D Seismic Exploration: A Case Study in Western Guizhou Province, China

Abstract: As a kind of clean energy, the exploration and development of coalbed methane (CBM) are of great importance and significance. In this paper, the CBM reservoir parameters of a working area in Western Guizhou Province, China, were predicted by using 3D seismic exploration technology, and the sweet-spot area was evaluated based on the prediction results. In terms of data interpretation, while the traditional technology is extended to the study of CBM, new technologies and methods suitable for CBM were also active… Show more

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Cited by 5 publications
(2 citation statements)
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“…Some geophysical methods, such as ground electromagnetic method and resistivity method, have limited effectiveness in deep coalbed methane exploration, which limits their application in abandoned coal mine deep coalbed methane exploration. Although seismic exploration can provide deeper detection depths, its resolution may not be sufficient to accurately depict the details of coal seams and coalbed methane enrichment areas under complex geological conditions [17]. The geological structure of abandoned coal mine areas is usually complex, such as faults, folds, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Some geophysical methods, such as ground electromagnetic method and resistivity method, have limited effectiveness in deep coalbed methane exploration, which limits their application in abandoned coal mine deep coalbed methane exploration. Although seismic exploration can provide deeper detection depths, its resolution may not be sufficient to accurately depict the details of coal seams and coalbed methane enrichment areas under complex geological conditions [17]. The geological structure of abandoned coal mine areas is usually complex, such as faults, folds, etc.…”
Section: Introductionmentioning
confidence: 99%
“…It is advantageous to directly estimate the reservoir parameters (e.g., pore parameters) using seismic data [23][24][25]. Furthermore, petrophysical reservoir properties have also been evaluated by using seismic methods based on extended elastic impedance inversion [26], pre-stack elastic inversion [27], and quantitative interpretations [28,29].…”
Section: Introductionmentioning
confidence: 99%