A hybrid framework for reservoir characterization using fuzzy ranking and an artificial neural network
We develop a fuzzy ranking-neural network framework for reservoir characterization. Fuzzy ranking selects well log variables with close relation to the target reservoir property. The MLP network models the relation between the selected variables and the target reservoir property. We develop a GIS system to facilitate the reservoir characterization process. Case studies on real data demonstrate that the reservoir characterization result via the proposed framework is accurate.
reservoir characterization fuzzy ranking artificial neural networks geographic information system