Petrophysical Facies Classification Based on Fuzzy Inference Networks

Jun Hui Pan; Hui Wang; Xiao Gang Yang

doi:10.4028/www.scientific.net/AMR.634-638.4017

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 634-638Petrophysical Facies Classification Based on Fuzzy...

Petrophysical Facies Classification Based on Fuzzy Inference Networks

Abstract:

Aiming at the petrophysical facies recognition, a novel identification method based on the weighted fuzzy reasoning networks is proposed in the paper. First, the types and indicators are obtained from core analysis data and the results given by experts, and then the standard patterning database of reservoir petrophysical facies is established. Secondly, by integrating expert experiences and quantitative indicators to reflect the change of petrophysical facies, the classification model of petrophysical facies based on the weighted fuzzy reasoning networks is designed. The preferable application results are presented by processing the real data from the Sabei development zone of Daqing oilfield.