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

R Cassidy, PJ Morrow, J McCloskey

Research output: Contribution to journalArticle

3 Citations (Scopus)

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
LanguageEnglish
Pages343-355
JournalMachine Vision and Applications
Volume16
Issue number6
DOIs
Publication statusPublished - 1 Feb 2006

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Computer vision
Rocks
Fluids
Petroleum industry
Velocity measurement
Numerical models
Resins
Aluminum
Geometry

Cite this

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title = "A machine vision system for quantifying velocity fields in complex rock models",
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",
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A machine vision system for quantifying velocity fields in complex rock models. / Cassidy, R; Morrow, PJ; McCloskey, J.

In: Machine Vision and Applications, Vol. 16, No. 6, 01.02.2006, p. 343-355.

Research output: Contribution to journalArticle

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