Extraction of Permeability Variations from P-Wave Velocity Dispersion Data

Permeability is a key parameter for the evaluation of subsurface formations in groundwater and hydrocarbon exploration. We utilize broadband full-waveform sonic data to exploit Pride's relationship between P-wave velocity dispersion and permeability for porous, fluid-filled media. Frequency dep...

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Main Authors: Milkereit, B., Pun, W., Harris, Brett
Other Authors: EAGE
Format: Conference Paper
Published: EAGE 2010
Online Access:http://hdl.handle.net/20.500.11937/39265
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author Milkereit, B.
Pun, W.
Harris, Brett
author2 EAGE
author_facet EAGE
Milkereit, B.
Pun, W.
Harris, Brett
author_sort Milkereit, B.
building Curtin Institutional Repository
collection Online Access
description Permeability is a key parameter for the evaluation of subsurface formations in groundwater and hydrocarbon exploration. We utilize broadband full-waveform sonic data to exploit Pride's relationship between P-wave velocity dispersion and permeability for porous, fluid-filled media. Frequency dependent P-wave velocities are extracted from multi-channel sonic data during a two-step process: computation of semblance-based velocity spectra at two or more center frequencies followed by a 2D cross-correlation of the velocity spectra. A comparison with MRI-derived permeability logs confirm that P-wave velocity dispersion logs can be used to map permeability variations.
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spelling curtin-20.500.11937-392652017-01-30T14:32:19Z Extraction of Permeability Variations from P-Wave Velocity Dispersion Data Milkereit, B. Pun, W. Harris, Brett EAGE Permeability is a key parameter for the evaluation of subsurface formations in groundwater and hydrocarbon exploration. We utilize broadband full-waveform sonic data to exploit Pride's relationship between P-wave velocity dispersion and permeability for porous, fluid-filled media. Frequency dependent P-wave velocities are extracted from multi-channel sonic data during a two-step process: computation of semblance-based velocity spectra at two or more center frequencies followed by a 2D cross-correlation of the velocity spectra. A comparison with MRI-derived permeability logs confirm that P-wave velocity dispersion logs can be used to map permeability variations. 2010 Conference Paper http://hdl.handle.net/20.500.11937/39265 EAGE fulltext
spellingShingle Milkereit, B.
Pun, W.
Harris, Brett
Extraction of Permeability Variations from P-Wave Velocity Dispersion Data
title Extraction of Permeability Variations from P-Wave Velocity Dispersion Data
title_full Extraction of Permeability Variations from P-Wave Velocity Dispersion Data
title_fullStr Extraction of Permeability Variations from P-Wave Velocity Dispersion Data
title_full_unstemmed Extraction of Permeability Variations from P-Wave Velocity Dispersion Data
title_short Extraction of Permeability Variations from P-Wave Velocity Dispersion Data
title_sort extraction of permeability variations from p-wave velocity dispersion data
url http://hdl.handle.net/20.500.11937/39265