Xiao Cixun, Xiao Chongli, Su Yinzi, et al. LOG EVALUATION AND PREDICTION OF GAS RESERVOIR PRODUCTIVITY[J]. 1999, 20(4): 279-282.DOI: 10.11743/ogg19990402.
Probable productive formations are recognized by log data standardization
log curve automativc layering and establishing recognizing models; the parmeters such as effective porosity of The formaions
the absofute and effectivePermeabilities of gas
the index and the coefficient of productivity
and the comprehensive index are calculated. The sedata are used as evaluation porters to detendne pwhctive formations. The standard model of productivity gradecan be obtained by cluster analysis
sublayer productivity grad could be connected to the reservoir productivity(testnonresistance out flow)
and then the evaluation and the prediction of reservoir productivity could be realized.