A new method of identifying the atypical gas reservoir based on the classification model of decision tree

Because of the effects of the reservoir thickness,the adjacent beds and well logging instrument's resolution,the atypical gas reservoir's log information is fuzzy.It results in the three porosities and resistivity curves in the lower sensitivity in the atypical gas reservoir,so some methods based on the three porosities and resistivity curves can not identify accurately the atypical gas reservoir.In fact,it is a complicated,nonlinear and high-dimensional pattern recognition question that we use log information to identify the atypical gas reservoir,so we can use the pattern recognition method to identify the atypical gas reservoir.The decision tree's learning ability is strong, the learning process is transparent,the learning result is understandable and the kind human-computer interaction mechanism is supplied.Therefore,we use the decision tree to get the predictive model of the atypical gas reservoir based on the lots of log information.At the last but least,we improve the predictive model based on the real reservoir characterization.The practical application results show that the predictive model can identify accurately the atypical gas reservoir which is established by the decision tree.