Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/70164
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Prediction of key points of water-oil relative permeability curves using the linear regression technique
Author: Roghanian, R.
Rasaei, M.
Haghighi, M.
Citation: Petroleum Science and Technology, 2012; 30(5):518-533
Publisher: Marcel Dekker Inc
Issue Date: 2012
ISSN: 1091-6466
1532-2459
Statement of
Responsibility: 
R. Roghanian, M. Reza Rasaei and M. Haghighi
Abstract: Relative permeability is among the most critical parameters in reservoir performance evaluation and EOR projects. It reflects the ease of movement and trapping of different phases and affects the production rate and ultimate recovery from reservoirs. Experimental measurement of relative permeability curves is complicated, costly, time consuming, and the results can easily be influenced by test conditions and interpretation methods. Empirical correlations are alternative approaches that are based on existing experimentally measured relative permeability curves and rock and fluid properties. The authors used 260 relative permeability curves from Iranian carbonate and sandstone reservoirs. Six key points for each set of water-oil relative permeability were determined, which fully characterize these curves. Using linear regression technique, new correlations were proposed to predict these key points. Having this done, it is then easy and straightforward to construct unnormalized/real water-oil relative permeability curves.
Keywords: empirical correlations; end points; Iranian reservoirs; linear regression; water/oil relative permeability
Rights: Copyright © Taylor & Francis Group, LLC
RMID: 0020116252
DOI: 10.1080/10916461003773054
Appears in Collections:Australian School of Petroleum publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.