COAL ENGINEERING ›› 2014, Vol. 46 ›› Issue (9): 112-115.doi: 10.11799/ce201409037

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Prediction of Coal-bed Methane Content Based on Regression Model

  

  • Received:2014-03-25 Revised:2014-05-30 Online:2014-09-10 Published:2014-09-10

Abstract:

Abstract: The coal-bed methane content is an important parameter for evaluating coal-bed methane reservoir. Because the relation between coal-bed methane content and logging parameters is complex, their relativity should be analyzed before mathematical regression model is built. As the correlation coefficient is smaller, composite parameter is composited to improve the Correlation coefficient between content and logging. 6 kinds of logging parameters are optimized. Linear and two polynomial regression equation are built between methane content and log information. Linear and two regression equation are effective after validation to the predictive value.

Key words: Keywords: coal-bed methane content, logging curve, composite parameters, prediction model

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