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Attribute Synthetic Evaluation Model for the CBM Recoverability and Its Application
- Source :
- Mathematical Problems in Engineering, Vol 2015 (2015)
- Publication Year :
- 2015
- Publisher :
- Hindawi Limited, 2015.
-
Abstract
- The coal-bed methane (CBM) recoverability is the basic premise of CBM development practice; in order to effectively evaluate the CBM recoverability, the attribute synthetic evaluation model is established based on the theory and method of attribute mathematics. Firstly, five indexes are chosen to evaluate the recoverability through analyzing the influence factors of CBM, including seam thickness, gas saturation, permeability, reservoir pressure gradient, and hydrogeological conditions. Secondly, the attribute measurement functions of each index are constructed based on the attribute mathematics theory, and the calculation methods of the single index attribute measurement and the synthetic attribute measurement also are provided. Meanwhile, the weight of each index is given with the method of similar number and similar weight; the evaluation results also are determined by the confidence criterion reliability code. At last, according to the application results of the model in some coal target area of Fuxin and Hancheng mine, the evaluation results are basically consistent with the actual situation, which proves that the evaluation model can be used in the CBM recoverability prediction, and an effective method of the CBM recoverability evaluation is also provided.
- Subjects :
- Basic premise
Engineering
Hydrogeology
Article Subject
business.industry
General Mathematics
lcsh:Mathematics
General Engineering
computer.software_genre
lcsh:QA1-939
Calculation methods
Permeability (earth sciences)
lcsh:TA1-2040
Reservoir pressure
Effective method
Data mining
business
lcsh:Engineering (General). Civil engineering (General)
computer
Subjects
Details
- Language :
- English
- ISSN :
- 15635147
- Volume :
- 2015
- Database :
- OpenAIRE
- Journal :
- Mathematical Problems in Engineering
- Accession number :
- edsair.doi.dedup.....39d72cef274862ba405bdb62ecaa5fb2