The Applied Prospect of Coal-Bed Methane Productivity Evaluation with Logging Technology

Abstract:

In recent years, the research on the coal-bed methane productivity evaluation with the logging method has progressed slowly, and a great breakthrough is needed. The influencing factors of the coal-bed methane productivity are analyzed based on the characteristics of coal-bed methane reservoir and the principle of coal-bed methane exploration. And the methods of evaluating the logging reservoir parameters related to the coal-bed methane productivity are also discussed. Meanwhile, the research prospect on the evaluation of coal-bed methane productivity with the logging technology is proposed by utilizing the principle of complex oil-gas reservoir productivity evaluation.

• Periodical: Advanced Materials Research (Volume 868)
• Pages: 673-676
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.868.673
• Online since: December 2013
• Authors: Lei Qiao
• Keywords: Artificial Intelligence (AI), Cross-Plot, Logging Evaluation, Productivity Evaluation of Coal-Bed Methane Reservoir

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