Hybrid AI Models for the Characterization of Oil and Gas Reservoirs

Oil and Gas remain the most exploited source ofenergy in the world today and have been predictedthat they will continue to be available forexploitation in many decades to come. Hence there isthe need to develop accurate and robust predictivemodels for their effective and efficient explorationexploitation and management to ensure consistentavailability. Various Artificial Intelligencetechniques have been used but with dire needs forimprovement. Recently hybrid schemes have beenreported to offer better performance and reliability.The capabilities of these schemes have not been wellutilized in Oil and Gas. This book explains how theseschemes have been utilized in the prediction ofporosity and permeability two important indicatorsof oil and gas reserves based on the hybridizationof Type-2 Fuzzy Logic Support Vector Machines andFunctional Networks using real-world well logs. Theresults are very promising. This book will be ofgreat benefit to researchers and practitioners in theapplication of AI techniques in oil and gas as wellas in Data Mining and Machine Learning.