Relationships between Pore Elements, Derived from Image Analysis, and Core Permeability for a Carbonate Reservoir of an Iranian Oil Field, Zagros Basin

Estimation of shear wave (Vs) velocity using log data is an important approach in the seismic exploration and development of a reservoir. The velocity dispersion due to frequency difference between ultrasonic laboratory measurement on cores and low frequency is about 3.5%, and thus laboratory measur...

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Main Authors: Rezaee, M. Reza, Hassani giv, M.
Format: Journal Article
Published: University of Tehran 2005
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/21324
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author Rezaee, M. Reza
Hassani giv, M.
author_facet Rezaee, M. Reza
Hassani giv, M.
author_sort Rezaee, M. Reza
building Curtin Institutional Repository
collection Online Access
description Estimation of shear wave (Vs) velocity using log data is an important approach in the seismic exploration and development of a reservoir. The velocity dispersion due to frequency difference between ultrasonic laboratory measurement on cores and low frequency is about 3.5%, and thus laboratory measurement velocities are more than sonic log in this study. Therefore, we used compressional wave velocity from sonic log to predicate shear wave velocity.In this study, a new statistical method is presented to predict Vs from wireline log data. The model can predict shear wave velocity from petrophysical parameters and any pair of compressional wave velocity, porosity and density in carbonate rocks. The established method can estimate shear wave velocity in carbonate rocks with correlation coefficient of about 0.94.
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publishDate 2005
publisher University of Tehran
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spelling curtin-20.500.11937-213242017-01-30T12:24:31Z Relationships between Pore Elements, Derived from Image Analysis, and Core Permeability for a Carbonate Reservoir of an Iranian Oil Field, Zagros Basin Rezaee, M. Reza Hassani giv, M. sonic log dispersion Petrophysics shear wave velocity multiple regression acoustic properties Estimation of shear wave (Vs) velocity using log data is an important approach in the seismic exploration and development of a reservoir. The velocity dispersion due to frequency difference between ultrasonic laboratory measurement on cores and low frequency is about 3.5%, and thus laboratory measurement velocities are more than sonic log in this study. Therefore, we used compressional wave velocity from sonic log to predicate shear wave velocity.In this study, a new statistical method is presented to predict Vs from wireline log data. The model can predict shear wave velocity from petrophysical parameters and any pair of compressional wave velocity, porosity and density in carbonate rocks. The established method can estimate shear wave velocity in carbonate rocks with correlation coefficient of about 0.94. 2005 Journal Article http://hdl.handle.net/20.500.11937/21324 University of Tehran restricted
spellingShingle sonic log
dispersion
Petrophysics
shear wave velocity
multiple regression
acoustic properties
Rezaee, M. Reza
Hassani giv, M.
Relationships between Pore Elements, Derived from Image Analysis, and Core Permeability for a Carbonate Reservoir of an Iranian Oil Field, Zagros Basin
title Relationships between Pore Elements, Derived from Image Analysis, and Core Permeability for a Carbonate Reservoir of an Iranian Oil Field, Zagros Basin
title_full Relationships between Pore Elements, Derived from Image Analysis, and Core Permeability for a Carbonate Reservoir of an Iranian Oil Field, Zagros Basin
title_fullStr Relationships between Pore Elements, Derived from Image Analysis, and Core Permeability for a Carbonate Reservoir of an Iranian Oil Field, Zagros Basin
title_full_unstemmed Relationships between Pore Elements, Derived from Image Analysis, and Core Permeability for a Carbonate Reservoir of an Iranian Oil Field, Zagros Basin
title_short Relationships between Pore Elements, Derived from Image Analysis, and Core Permeability for a Carbonate Reservoir of an Iranian Oil Field, Zagros Basin
title_sort relationships between pore elements, derived from image analysis, and core permeability for a carbonate reservoir of an iranian oil field, zagros basin
topic sonic log
dispersion
Petrophysics
shear wave velocity
multiple regression
acoustic properties
url http://hdl.handle.net/20.500.11937/21324