Original Paper

Machine Vision and Applications

, Volume 16, Issue 6, pp 343-355

First online:

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

  • Rachel CassidyAffiliated withGeophysics Research Group, School of Environmental Sciences, University of Ulster Email author 
  • , Philip J. MorrowAffiliated withSchool of Computing and Information Engineering,, University of Ulster
  • , John McCloskeyAffiliated withGeophysics Research Group, School of Environmental Sciences, University of Ulster

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Abstracts

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.

Keywords

Fluid velocity fields PIV Cross-correlation Porous fractured rock Model validation