Pore-scale simulation of NMR response

The random walk method is used to simulate magnetization decay in porous media. The simulations were performed on images of the pore space obtained using micro-CT scanning and in topologically equivalent networks extracted from these images using a maximal ball algorithm. The simulation results were...

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Main Authors: Talabi, O., Al-Sayari, S., Iglauer, Stefan, Blunt, M.
Format: Journal Article
Published: Elsevier BV 2009
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/3105
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author Talabi, O.
Al-Sayari, S.
Iglauer, Stefan
Blunt, M.
author_facet Talabi, O.
Al-Sayari, S.
Iglauer, Stefan
Blunt, M.
author_sort Talabi, O.
building Curtin Institutional Repository
collection Online Access
description The random walk method is used to simulate magnetization decay in porous media. The simulations were performed on images of the pore space obtained using micro-CT scanning and in topologically equivalent networks extracted from these images using a maximal ball algorithm. The simulation results were validated through comparison with experimental measurements of T2 distribution, absolute permeability and resistivity in two sand packs and from comparing predictions on images and networks of Fontainebleau sandstone. In all cases, the comparisons were good, although the networks gave a slightly narrower T2 distribution, implying that some fine detail of the pore structure was lost. This work suggests that imaging, network extraction and pore-scale simulation can be used to predict single-phase transport properties successfully. It serves as a validation for pore-network models and the methods used to generate networks.
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institution Curtin University Malaysia
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publishDate 2009
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spelling curtin-20.500.11937-31052017-09-13T16:06:25Z Pore-scale simulation of NMR response Talabi, O. Al-Sayari, S. Iglauer, Stefan Blunt, M. networks random walk T2 distribution micro-CT NMR The random walk method is used to simulate magnetization decay in porous media. The simulations were performed on images of the pore space obtained using micro-CT scanning and in topologically equivalent networks extracted from these images using a maximal ball algorithm. The simulation results were validated through comparison with experimental measurements of T2 distribution, absolute permeability and resistivity in two sand packs and from comparing predictions on images and networks of Fontainebleau sandstone. In all cases, the comparisons were good, although the networks gave a slightly narrower T2 distribution, implying that some fine detail of the pore structure was lost. This work suggests that imaging, network extraction and pore-scale simulation can be used to predict single-phase transport properties successfully. It serves as a validation for pore-network models and the methods used to generate networks. 2009 Journal Article http://hdl.handle.net/20.500.11937/3105 10.1016/j.petrol.2009.05.013 Elsevier BV restricted
spellingShingle networks
random walk
T2 distribution
micro-CT
NMR
Talabi, O.
Al-Sayari, S.
Iglauer, Stefan
Blunt, M.
Pore-scale simulation of NMR response
title Pore-scale simulation of NMR response
title_full Pore-scale simulation of NMR response
title_fullStr Pore-scale simulation of NMR response
title_full_unstemmed Pore-scale simulation of NMR response
title_short Pore-scale simulation of NMR response
title_sort pore-scale simulation of nmr response
topic networks
random walk
T2 distribution
micro-CT
NMR
url http://hdl.handle.net/20.500.11937/3105