alexa Estimating Properties of Unconsolidated Petroleum Reser
ISSN: 2381-8719

Journal of Geology & Geophysics
Open Access

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Research Article

Estimating Properties of Unconsolidated Petroleum Reservoirs using Image Analysis

Bell JD1,3* and Eruteya OE2,3
1Petroregos, Unit 378, 165 Cross Avenue, Oakville, Ontario, L6J 0A9 Canada
2University of Haifa, Department of Marine Geoscience, Haifa, Israel
3London South Bank University, Department of Chemical and Petroleum Engineering, London, UK
Corresponding Author : Bell JD
Petroregos, Unit 378, 165 Cross Avenue
Oakville, Ontario, L6J 0A9 Canada, London South Bank University
Department of Chemical and Petroleum Engineering, London, UK
Tel: +905-4653517
E-mail: [email protected]
Received: October 04, 2015; Accepted: December 04, 2015; Published: December 09, 2015
Citation: Bell JD, Eruteya OE (2015) Estimating Properties of Unconsolidated Petroleum Reservoirs using Image Analysis. J Geol Geophys 5:233. doi:10.4172/2381-8719.1000233
Copyright: © 2015 Bell JD, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Unconsolidated petroleum reservoirs are non-crystalline rock and include tight gas sands, heavy oil, and bitumen rich sands. These can be both near surface and at depth. This is a “methods” paper which discusses the use of thin section image analysis to obtain reservoir properties from unconsolidated sand reservoirs. A case study was carried out on samples from the Upper McMurray Member of the Athabasca Oil Sands in Canada. Using petrographic image analysis, porosity and permeability were obtained from thin sections from selected regions of interest (ROI). This was accomplished by generating 2D grain and void architecture models from binary images.Porosity and averaged particle size distribution for the coarse components or sand size components were derived directly from oil sand thin sections, whereas permeability was calculated. Values of porosity and permeability obtained using this method were found to be in typical value ranges of those obtained by conventional methods, including petrophysical and core analysis. The application of image analysis to sand reservoirs, such as oil sands, is a rapid and economical method of estimating reservoir properties, especially within regions of interest, and there is the added advantage of direct observation.

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