oa Application of Soft Computing in Lithology Prediction: A Case Study from Marun Field

This paper focuses on prediction of lithology, especially shale intervals. Shale is very significant in<br>zonation, layering, formation damage and well logs. Neural clustering network (NCN), neural patternrecognition<br>network (NPRN), feed-forward back-propagation network (FBN), fuzzy clustering means<br>(FCM) and adaptive neuro-fuzzy inference system (ANFIS) are used. They are tried on three wells in<br>carbonate reservoirs of Marun field, however results are discussed for Well # 222 with 811 utilized<br>data of raw log reading.