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A machine vision system for quantifying velocity fields in complex rock models

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Cassidy, R, Morrow, PJ and McCloskey, J (2006) A machine vision system for quantifying velocity fields in complex rock models. Machine Vision and Applications, 16 (6). pp. 343-355. [Journal article]

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URL: http://www.springerlink.com/content/y716j12589100t40/

DOI: 10.1007/s00138-005-0005-z

Abstract

In this paper we describe a machine vision system capable of high-resolution measurement of fluid velocity fields in complex 2D models of rock, providing essential data for the validation of the numerical models which are widely applied in the oil and petroleum industries. Digital models, incorporating the properties of real rock, are first generated, then physically replicated as layers of resin or aluminium (200 mm × 200 mm) encapsulated between transparent plates as a flowcell. This configuration enables the geometry to be permeated with fluid and fluid motion visualised using particle image velocimetry. Fluid velocity fields are then computed using well-tested cross-correlation techniques

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Life and Health Sciences
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Life and Health Sciences > School of Environmental Sciences
Research Institutes and Groups:Computer Science Research Institute
Environmental Sciences Research Institute
Computer Science Research Institute > Information and Communication Engineering
Environmental Sciences Research Institute > Geophysics
ID Code:95
Deposited By:Professor Philip Morrow
Deposited On:04 May 2010 09:47
Last Modified:15 Jun 2011 11:19

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