3-D GPR data tested stratigraphic and structural imaging of the near-surface. These data were integrated with geologic data to characterize a reservoir analog. GPR reflection times and amplitude distributions were used to generate a geostatistical model of sedimentary structures. Fluid permeabilities were assigned to sedimentary structures and were constrained by borehole and outcrop data. Reservoir properties were analyzed and petrographic analysis produced data on porosity, lithology, and cementation. Clay fraction, permeability, porosity, and water content were predicted from electrical properties. Permittivities were predicted by effective medium models. Dissociated phase models and coated grain models inverted for water saturation and water permittivity. Effective permittivities are lithology dependent and porosity influences permittivity sensitivity. Permittivity from the Maxwell_Garnett (M-G) theory and the differential effective medium (DEM) theory were compared with a finite-element (FE) implementation of multipole theory. M-G model predictions in a porous medium are inadequate for multipole polarization. Permittivity predictions for DEM and FE models are very similar.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
3-D GPR data tested stratigraphic and structural imaging of the near-surface. These data were integrated with geologic data to characterize a reservoir analog. GPR reflection times and amplitude distributions were used to generate a geostatistical model of sedimentary structures. Fluid permeabilities were assigned to sedimentary structures and were constrained by borehole and outcrop data. Reservoir properties were analyzed and petrographic analysis produced data on porosity, lithology, and cementation. Clay fraction, permeability, porosity, and water content were predicted from electrical properties. Permittivities were predicted by effective medium models. Dissociated phase models and coated grain models inverted for water saturation and water permittivity. Effective permittivities are lithology dependent and porosity influences permittivity sensitivity. Permittivity from the Maxwell_Garnett (M-G) theory and the differential effective medium (DEM) theory were compared with a finite-element (FE) implementation of multipole theory. M-G model predictions in a porous medium are inadequate for multipole polarization. Permittivity predictions for DEM and FE models are very similar.
Dr. Szerbiak has a Ph. D. degree in geoscience from the University of Texas at Dallas. Dr. Szerbiak has worked in the petroleum industry and recently as a research associate at Boise State University. His expertise is stochastic modeling, reservoir characterization, petrophysical simulation, and ground- penetrating radar modeling.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -3-D GPR data tested stratigraphic and structural imaging of the near-surface. These data were integrated with geologic data to characterize a reservoir analog. GPR reflection times and amplitude distributions were used to generate a geostatistical model of sedimentary structures. Fluid permeabilities were assigned to sedimentary structures and were constrained by borehole and outcrop data. Reservoir properties were analyzed and petrographic analysis produced data on porosity, lithology, and cementation. Clay fraction, permeability, porosity, and water content were predicted from electrical properties. Permittivities were predicted by effective medium models. Dissociated phase models and coated grain models inverted for water saturation and water permittivity. Effective permittivities are lithology dependent and porosity influences permittivity sensitivity. Permittivity from the Maxwell_Garnett (M-G) theory and the differential effective medium (DEM) theory were compared with a finite-element (FE) implementation of multipole theory. M-G model predictions in a porous medium are inadequate for multipole polarization. Permittivity predictions for DEM and FE models are very similar. 176 pp. Englisch. N° de réf. du vendeur 9783838317588
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 3-D GPR data tested stratigraphic and structural imaging of the near-surface. These data were integrated with geologic data to characterize a reservoir analog. GPR reflection times and amplitude distributions were used to generate a geostatistical model of sedimentary structures. Fluid permeabilities were assigned to sedimentary structures and were constrained by borehole and outcrop data. Reservoir properties were analyzed and petrographic analysis produced data on porosity, lithology, and cementation. Clay fraction, permeability, porosity, and water content were predicted from electrical properties. Permittivities were predicted by effective medium models. Dissociated phase models and coated grain models inverted for water saturation and water permittivity. Effective permittivities are lithology dependent and porosity influences permittivity sensitivity. Permittivity from the Maxwell_Garnett (M-G) theory and the differential effective medium (DEM) theory were compared with a finite-element (FE) implementation of multipole theory. M-G model predictions in a porous medium are inadequate for multipole polarization. Permittivity predictions for DEM and FE models are very similar. N° de réf. du vendeur 9783838317588
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Taschenbuch. Etat : Neu. Characterization of Fluvial Reservoir Analogs | Modeling and Inversion of Petrophysical and Electrical Properties | Robert Szerbiak | Taschenbuch | 176 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838317588 | 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 101022112
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -3-D GPR data tested stratigraphic and structural imaging of the near-surface. These data were integrated with geologic data to characterize a reservoir analog. GPR reflection times and amplitude distributions were used to generate a geostatistical model of sedimentary structures. Fluid permeabilities were assigned to sedimentary structures and were constrained by borehole and outcrop data. Reservoir properties were analyzed and petrographic analysis produced data on porosity, lithology, and cementation. Clay fraction, permeability, porosity, and water content were predicted from electrical properties. Permittivities were predicted by effective medium models. Dissociated phase models and coated grain models inverted for water saturation and water permittivity. Effective permittivities are lithology dependent and porosity influences permittivity sensitivity. Permittivity from the Maxwell_Garnett (M-G) theory and the differential effective medium (DEM) theory were compared with a finite-element (FE) implementation of multipole theory. M-G model predictions in a porous medium are inadequate for multipole polarization. Permittivity predictions for DEM and FE models are very similar.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 176 pp. Englisch. N° de réf. du vendeur 9783838317588
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