Reservoir Pressure of Coal-Bed Methane Prediction Research Based on Analysis Method by Neural Net-Work

Abstract:

In Order to Achieve Accurate Quantitative Results of Parameters for Reservoir Pressure of Coal-Bed Methane, Neural Network Prediction Analytic Method is Adopted to Predict the Reservoir Pressure of Coal-Bed Methane. the Main Controlling Factors such as Conformation Stress, Buried Depth, in-Situ Stress and Permeability are Investigated. Mathematical Models of Neural Network of Reservoir Pressure of Coal-Bed Methane of Mathematical Analysis and System Architecture are Established; Taking the Qinshui Basin Coal Seam as Example to Forecast and use Reservoir Pressure of Coal-Bed Methane. Projections Show that: the use of Neural Network Prediction of Reservoir Pressure of Coal-Bed Methane is Feasible; Neural Network Method Makes up a Mathematical Point of Linear and Regularity in Order to Solve the Non-Linear Complex Relationship between the Input and Output Parameter Variables.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 4758-4762
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.4758
• Online since: September 2013
• Authors: Xing Peng Jing
• Keywords: Coalbed Methane (CBM), Mathematical Models, Net-Work Structure, Neural Network (NN), Reservoir Pressure

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