Reservoir Pressure of Coal-Bed Methane Prediction Research Based on Analysis Method by Neural Net-work
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 syystem 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.
coal-bed methane reservoir pressure neural net-work net-work structure mathematical model
Xing-peng Jing
Xian Branch, China Coal Technology and Engineer Group Corp Shaanxi Xian, China
国际会议
太原
英文
974-977
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）