A novel approach to perform multiwell facies analysis was undertaken in the clastic reservoirs of Betty Field, Malaysia. The objective was to integrate the lithofacies information from core with petrophysical evaluation through the use of a neural network system. This provided a facies database that was used to estimate lithofacies in adjacent uncored wells at the 3D facies modeling stage.

A facies model was created for the key well based on petrophysical results calibrated with core description of the lithofacies. Effective porosity, permeability, and clay-volume calculated from petrophysical measurements and evaluation were used as inputs in the neural network application....

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