Name
Title | ||
|---|---|---|
The quantitative prediction of Coalbed Methane gas content based on super-low frequency electromagnetic technology |
Abstract | ||
|---|---|---|
Abundant field experiments have showed that the super low frequency (SLF) electromagnetic detector is sensitive to Coalbed Methane(CBM). The signal curves collected by the SLF electromagnetic detector show high amplitude anomalies in the CBM enrichment areas. Based on this finding, we choose the Qinshui basin as study area, and take advantage of the field SLF electromagnetic data to make quantitative prediction of CBM gas content.The results show that the average error between the estimated value and the measured value is 7.56%. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IGARSS.2013.6721284 | IGARSS |
Keywords | Field | DocType |
remote sensing,hydrocarbon reservoirs,slf electromagnetic technology,slf electromagnetic detector,china,cbm enrichment,quantitative prediction,coalbed methane gas content,signal curves,qinshui basin,coalbed methane,superlow frequency electromagnetic technology,neural networks,measurement uncertainty,electromagnetics,predictive models,coal,geology | Computer science,Remote sensing,Coalbed methane,Amplitude,Detector,Super low frequency | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 |
ISBN | Citations | PageRank |
978-1-4799-1114-1 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan-Bing Bai | 1 | 13 | 2.64 |
| Qi-ming Qin | 2 | 158 | 49.12 |
| Li Chen | 3 | 0 | 3.04 |
| Nan Wang | 4 | 0 | 0.34 |
| Jianhua Wang | 5 | 3 | 2.77 |
| Chao Chen | 6 | 2032 | 185.26 |