Abstract

The production performance of a reservoir largely depends on how best we characterize our reservoir .Lithofacies identification is an integral part of reservoir characterization. Several techniques and methods are available for lithofacies prediction. Artificial neural network (ANN) has gained popularity in recent times and is being used widely these days for prediction purposes. Once the ANN model is made for lithofacies prediction using core-log correlation, we can predict lithofacies in uncored wells/sections.