| Issue |
E3S Web Conf.
Volume 218, 2020
2020 International Symposium on Energy, Environmental Science and Engineering (ISEESE 2020)
|
|
|---|---|---|
| Article Number | 01043 | |
| Number of page(s) | 4 | |
| Section | Research on Energy Technology Application and Consumption Structure | |
| DOI | https://doi.org/10.1051/e3sconf/202021801043 | |
| Published online | 11 December 2020 | |
Research on prediction of coalbed methane production based on Radial Basis Function Network
1
China United Coalbed Methane National Engineering Research Center Co., Ltd. beijing, 100000, China
2
PetroChina Coalbed Methane Co., Ltd. beijing, 100000, China
3
School of Science, Southwest Petroleum University, Chengdu, Sichuan, 610500, China
* Corresponding author’s e-mail: huangming962477@163.com
My country’s coal seam permeability is generally low, and it is difficult to carry out large-scale development and utilization. For different coal seam blocks, the use of abundant field data to predict gas production can not only provide effective guidance for on-site construction, but also significantly save development costs. This paper presents a prediction model of coalbed methane production based on radial basis function network. According to the field data of X area, the correlation analysis of the factors affecting the gas production is carried out, and the main control factors with significant correlation are selected. Then, taking these main control factors as input and gas production as output, a series of radial basis function networks with different precisions were constructed through trial calculation of different expansion coefficients. Finally, with the goal of maximizing precision, a highly accurate fitting was obtained. The optimal network with good prediction effect.
© The Authors, published by EDP Sciences, 2020
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