Research Status and Prospects of Coal Seam Gas Content Prediction Based on Mathematical Model

DOI

10.2991/icaset-16.2016.32How to use a DOI?

Keywords

Coal seam gas content, Prediction, Mathematical model, Research status

Abstract

The coal seam gas content is the base of coal mine gas reserves calculation, but also is the important index to forecast the gas emission and evaluate the coal and gas outburst danger. The paper summarizes the current widely used mathematical models to predict the coal seam gas content, and focuses on the research progress of the regression analysis model, the artificial neural network model, the support vector machine models, and so on. On this basis, the shortcomings and the urgent problems of gas content prediction mathematical model were analyzed and prospected. It could provide more simple and applicable method for the coal seam gas drainage, gas emission prediction, coal and gas outburst prediction and so on.

Copyright

© 2016, 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  - Linchao Dai
PY  - 2016/05
DA  - 2016/05
TI  - Research Status and Prospects of Coal Seam Gas Content Prediction Based on Mathematical Model
BT  - Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology
PB  - Atlantis Press
SP  - 158
EP  - 162
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-16.2016.32
DO  - 10.2991/icaset-16.2016.32
ID  - Dai2016/05
ER  -