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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs: Concept, Design and Implementation - Fatai Anifowose
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Fatai Anifowose:
Hybrid AI Models for the Characterization of Oil and Gas Reservoirs: Concept, Design and Implementation - Livres de poche

2009, ISBN: 3639143124

ID: 18607828096

[EAN: 9783639143126], [SC: 0.0], [PU: VDM Verlag], Computers & the Internet|General, Gebraucht - Wie neu Leichte Lagerspuren - 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. 148 pp. Englisch

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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs: Concept, Design and Implementation - Fatai Anifowose
Livre non disponible
(*)
Fatai Anifowose:
Hybrid AI Models for the Characterization of Oil and Gas Reservoirs: Concept, Design and Implementation - Livres de poche

2009, ISBN: 3639143124

ID: 18607828096

[EAN: 9783639143126], [PU: VDM Verlag], Computers & the Internet|General, Gebraucht - Wie neu Leichte Lagerspuren - 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. 148 pp. Englisch

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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - Fatai Anifowose
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Fatai Anifowose:
Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - nouveau livre

ISBN: 9783639143126

ID: 240a83e634489888c01717bca553a429

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 exploration,exploitation 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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Hybrid AI Models for the Characterization of Oil andGas Reservoirs - Fatai Anifowose
Livre non disponible
(*)
Fatai Anifowose:
Hybrid AI Models for the Characterization of Oil andGas Reservoirs - nouveau livre

ISBN: 9783639143126

ID: 8197327e731c60c10a6b96a269bfd829

Concept, Design and Implementation 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-639-14312-6, VDM

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Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - Fatai Anifowose
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Fatai Anifowose:
Hybrid AI Models for the Characterization of Oil and Gas Reservoirs - nouveau livre

2009, ISBN: 3639143124

ID: 17167589564

[EAN: 9783639143126], Neubuch, [PU: VDM Verlag], Computers & the Internet|General, New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Détails sur le livre
Hybrid AI Models for the Characterization of Oil andGas Reservoirs
Auteur:

Anifowose, Fatai

Titre:

Hybrid AI Models for the Characterization of Oil andGas Reservoirs

ISBN:

Oil and Gas remain the most exploited source of energy in the world today and have been predicted th....

Informations détaillées sur le livre - Hybrid AI Models for the Characterization of Oil andGas Reservoirs


EAN (ISBN-13): 9783639143126
ISBN (ISBN-10): 3639143124
Version reliée
Livre de poche
Date de parution: 2009
Editeur: VDM Verlag
148 Pages
Poids: 0,237 kg
Langue: eng/Englisch

Livre dans la base de données depuis 11.02.2009 02:53:57
Livre trouvé récemment le 29.06.2017 08:08:36
ISBN/EAN: 9783639143126

ISBN - Autres types d'écriture:
3-639-14312-4, 978-3-639-14312-6


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