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Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation

The relative permeability concept has been used extensively in reservoir engineering. As numerical reservoir simulation has become more popular as a tool for reservoir development, the role of relative permeability data became even more evident and important. Its key use is to control the advancemen...

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Main Authors: Agnia, A., Algdamsi, H.A., Al Mossawy, M.I.
Format: Conference or Workshop Item
Published: Society of Petroleum Engineers 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934343912&partnerID=40&md5=2031d98bdd6fc7b368fb98780175fe55
http://eprints.utp.edu.my/31752/
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spelling my.utp.eprints.317522022-03-29T03:36:32Z Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation Agnia, A. Algdamsi, H.A. Al Mossawy, M.I. The relative permeability concept has been used extensively in reservoir engineering. As numerical reservoir simulation has become more popular as a tool for reservoir development, the role of relative permeability data became even more evident and important. Its key use is to control the advancement and mobility of different fluids simultaneously coexisting in the porous media, and hence controlling the recovery of the fluids. However, deriving a reliable relative permeability data set remained a major challenge. In reservoir engineering, this challenge has been present for many decades and might be so in the foreseeable future. Another challenge is to have a data set which is internally consistent and does not hinder the simulation performance. Optimistically, with the significant literature accumulated over the years in deriving and using relative permeability, some techniques can be extracted for data quality check, control and assurance. This paper covers the limitations of the conventional methods used for calculating relative permeability from displacement experiments. It also compiles all contemporary techniques in a systematic workflow for quality assessment and consistency evaluation. The workflow has been demonstrated with different synthetic and field examples. This paper will provide a reference for reservoir engineers who have an interest in investigating, checking the quality, and preparing relative permeability data set usable for reservoir simulation process. Copyright © 2014, International Petroleum Technology Conference. Society of Petroleum Engineers 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934343912&partnerID=40&md5=2031d98bdd6fc7b368fb98780175fe55 Agnia, A. and Algdamsi, H.A. and Al Mossawy, M.I. (2014) Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation. In: UNSPECIFIED. http://eprints.utp.edu.my/31752/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description The relative permeability concept has been used extensively in reservoir engineering. As numerical reservoir simulation has become more popular as a tool for reservoir development, the role of relative permeability data became even more evident and important. Its key use is to control the advancement and mobility of different fluids simultaneously coexisting in the porous media, and hence controlling the recovery of the fluids. However, deriving a reliable relative permeability data set remained a major challenge. In reservoir engineering, this challenge has been present for many decades and might be so in the foreseeable future. Another challenge is to have a data set which is internally consistent and does not hinder the simulation performance. Optimistically, with the significant literature accumulated over the years in deriving and using relative permeability, some techniques can be extracted for data quality check, control and assurance. This paper covers the limitations of the conventional methods used for calculating relative permeability from displacement experiments. It also compiles all contemporary techniques in a systematic workflow for quality assessment and consistency evaluation. The workflow has been demonstrated with different synthetic and field examples. This paper will provide a reference for reservoir engineers who have an interest in investigating, checking the quality, and preparing relative permeability data set usable for reservoir simulation process. Copyright © 2014, International Petroleum Technology Conference.
format Conference or Workshop Item
author Agnia, A.
Algdamsi, H.A.
Al Mossawy, M.I.
spellingShingle Agnia, A.
Algdamsi, H.A.
Al Mossawy, M.I.
Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation
author_facet Agnia, A.
Algdamsi, H.A.
Al Mossawy, M.I.
author_sort Agnia, A.
title Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation
title_short Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation
title_full Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation
title_fullStr Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation
title_full_unstemmed Oil-water relative permeability data for reservoir simulation input, part-1: Systematic quality assessment and consistency evaluation
title_sort oil-water relative permeability data for reservoir simulation input, part-1: systematic quality assessment and consistency evaluation
publisher Society of Petroleum Engineers
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84934343912&partnerID=40&md5=2031d98bdd6fc7b368fb98780175fe55
http://eprints.utp.edu.my/31752/
_version_ 1738657291538792448
score 13.211869

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