Synopsis
Reservoir characterization is a process of describing various reservoir characteristics using all the variable data to provide reliable reservoir models for obtaining an accurate reservoir performance prediction. Reservoir characterization plays a crucial role in modern reservoir management. The reservoir characteristics include pore and grain size distribution, permeability, porosity, facies distribution, and depositional environment. The types of data need to describe the characteristics are core data, well logs, well tests and seismic reflection data. Permeability and rock type (i.e. lithology, pore geometry and range of porosity and permeability) are the most important rock properties which can be used as input parameters to build a 3D petrophysical model of the hydrocarbon reservoir. These parameters are derived from core samples which may not be available for all boreholes, whereas almost all boreholes have well log data.
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Reservoir Permeability Estimation from Well Logs using Fuzzy Logic
Edité par
LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10 : 6139586127
ISBN 13 : 9786139586127
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reservoir characterization is a process of describing various reservoir characteristics using all the variable data to provide reliable reservoir models for obtaining an accurate reservoir performance prediction. Reservoir characterization plays a crucial role in modern reservoir management. The reservoir characteristics include pore and grain size distribution, permeability, porosity, facies distribution, and depositional environment. The types of data need to describe the characteristics are core data, well logs, well tests and seismic reflection data. Permeability and rock type (i.e. lithology, pore geometry and range of porosity and permeability) are the most important rock properties which can be used as input parameters to build a 3D petrophysical model of the hydrocarbon reservoir. These parameters are derived from core samples which may not be available for all boreholes, whereas almost all boreholes have well log data. 92 pp. Englisch. N° de réf. du vendeur 9786139586127
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Reservoir Permeability Estimation from Well Logs using Fuzzy Logic
Edité par
LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6139586127
ISBN 13 : 9786139586127
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kalvani NaeemNaeem Kalvani: M.Sc in Petroleum Engineering, Petroleum University of Technology,2014.B.Sc in Mining Engineering Shahrood University of Technology,2012. He has considerable experience in reservoir characterization and re. N° de réf. du vendeur 385661570
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Reservoir Permeability Estimation from Well Logs using Fuzzy Logic
Edité par
LAP Lambert Academic Publishing, 2018
ISBN 10 : 6139586127
ISBN 13 : 9786139586127
Neuf
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 92 pages. 8.70x5.94x0.39 inches. In Stock. N° de réf. du vendeur zk6139586127
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Reservoir Permeability Estimation from Well Logs using Fuzzy Logic
Edité par
LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10 : 6139586127
ISBN 13 : 9786139586127
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reservoir characterization is a process of describing various reservoir characteristics using all the variable data to provide reliable reservoir models for obtaining an accurate reservoir performance prediction. Reservoir characterization plays a crucial role in modern reservoir management. The reservoir characteristics include pore and grain size distribution, permeability, porosity, facies distribution, and depositional environment. The types of data need to describe the characteristics are core data, well logs, well tests and seismic reflection data. Permeability and rock type (i.e. lithology, pore geometry and range of porosity and permeability) are the most important rock properties which can be used as input parameters to build a 3D petrophysical model of the hydrocarbon reservoir. These parameters are derived from core samples which may not be available for all boreholes, whereas almost all boreholes have well log data.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9786139586127
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Reservoir Permeability Estimation from Well Logs using Fuzzy Logic
Edité par
LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6139586127
ISBN 13 : 9786139586127
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reservoir characterization is a process of describing various reservoir characteristics using all the variable data to provide reliable reservoir models for obtaining an accurate reservoir performance prediction. Reservoir characterization plays a crucial role in modern reservoir management. The reservoir characteristics include pore and grain size distribution, permeability, porosity, facies distribution, and depositional environment. The types of data need to describe the characteristics are core data, well logs, well tests and seismic reflection data. Permeability and rock type (i.e. lithology, pore geometry and range of porosity and permeability) are the most important rock properties which can be used as input parameters to build a 3D petrophysical model of the hydrocarbon reservoir. These parameters are derived from core samples which may not be available for all boreholes, whereas almost all boreholes have well log data. N° de réf. du vendeur 9786139586127
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Reservoir Permeability Estimation from Well Logs using Fuzzy Logic
Edité par
LAP LAMBERT Academic Publishing, 2018
ISBN 10 : 6139586127
ISBN 13 : 9786139586127
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. Reservoir Permeability Estimation from Well Logs using Fuzzy Logic | Naeem Kalvani (u. a.) | Taschenbuch | 92 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139586127 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 113709323
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