Abstract：This paper analyzed the feasibility of applying seismic facies technology to forecasting coal-bed methane content. The authors first made seismic wave division in the study area by using unsupervised vector quantization network, and then completed coal-bed methane content prediction in the exploration area based on seismic facies under the guidance of the measured coal-bed methane values in drill holes and according to seismic wave characteristics. The results are consistent with the measured values and have relatively high prediction of resolution, suggesting that the application of seismic facies technology is an effective approach to predicting coal-bed methane content.
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