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

DOI

10.2991/iccia.2012.238How to use a DOI?

Keywords

coal-bed methane, reservoir pressure, neural net-work, net-work structure, mathematical model

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.

Copyright

© 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/).

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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  -