Reservoir Pressure of Coal-Bed Methane Prediction Research Based on Analysis Method by Neural Net-work
- 10.2991/iccia.2012.238How to use a DOI?
- coal-bed methane, reservoir pressure, neural net-work, net-work structure, mathematical model
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.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xingpeng Jing PY - 2014/05 DA - 2014/05 TI - Reservoir Pressure of Coal-Bed Methane Prediction Research Based on Analysis Method by Neural Net-work BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 974 EP - 977 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.238 DO - 10.2991/iccia.2012.238 ID - Jing2014/05 ER -