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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs
Inglese
184 b
30 giorni per il reso
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Oil and Gas remain the most exploited source of§energy in the world today and have been predicted§that they will continue to be available for§exploitation in many decades to come. Hence, there is§the need to develop accurate and robust predictive§models for their effective and efficient exploration,§exploitation and management to ensure consistent§availability. Various Artificial Intelligence§techniques have been used but with dire needs for§improvement. Recently, hybrid schemes have been§reported to offer better performance and reliability.§The capabilities of these schemes have not been well§utilized in Oil and Gas. This book explains how these§schemes have been utilized in the prediction of§porosity and permeability, two important indicators§of oil and gas reserves, based on the hybridization§of Type-2 Fuzzy Logic, Support Vector Machines and§Functional Networks, using real-world well logs. The§results are very promising. This book will be of§great benefit to researchers and practitioners in the§application of AI techniques in oil and gas as well§as in Data Mining and Machine Learning.
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