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Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems

In this work, the use of type-2 fuzzy logic systems as a novel approach for predicting permeability from well logs has been investigated and implemented. Type-2fuzzylogicsystem is good in handling uncertainties, including uncertainties in measurements and data used to calibrate the parameters. In th...

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Main Authors: Selamat, Ali, Olatunji, Sunday Olusanya, Abdulraheem, Abdulazeez
Format: Article
Published: Elsevier B.V. 2010
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/26314/
http://dx.doi.org/10.1016/j.compind.2010.10.008
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spelling my.utm.263142018-11-09T08:07:56Z http://eprints.utm.my/id/eprint/26314/ Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems Selamat, Ali Olatunji, Sunday Olusanya Abdulraheem, Abdulazeez QA75 Electronic computers. Computer science In this work, the use of type-2 fuzzy logic systems as a novel approach for predicting permeability from well logs has been investigated and implemented. Type-2fuzzylogicsystem is good in handling uncertainties, including uncertainties in measurements and data used to calibrate the parameters. In the formulation used, the value of a membership function corresponding to a particular permeability value is no longer a crisp value; rather, it is associated with a range of values that can be characterized by a function that reflects the level of uncertainty. In this way, the model will be able to adequately account for all forms of uncertainties associated with predicting permeability from well log data, where uncertainties are very high and the need for stable results are highly desirable. Comparative studies have been carried out to compare the performance of the proposed type-2fuzzy logic system framework with those earlier used methods, using five different industrial reservoir data. Empirical results from simulation show that type-2fuzzylogic approach outperformed others in general and particularly in the area of stability and ability to handle data in uncertain situations, which are common characteristics of well logs data. Another unique advantage of the newly proposed model is its ability to generate, in addition to the normal target forecast, prediction intervals as its by-products without extra computational cost. Elsevier B.V. 2010 Article PeerReviewed Selamat, Ali and Olatunji, Sunday Olusanya and Abdulraheem, Abdulazeez (2010) Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems. Computers in Industry, 62 (2). pp. 147-163. ISSN 0166-3615 http://dx.doi.org/10.1016/j.compind.2010.10.008 DOI:10.1016/j.compind.2010.10.008
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Selamat, Ali
Olatunji, Sunday Olusanya
Abdulraheem, Abdulazeez
Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
description In this work, the use of type-2 fuzzy logic systems as a novel approach for predicting permeability from well logs has been investigated and implemented. Type-2fuzzylogicsystem is good in handling uncertainties, including uncertainties in measurements and data used to calibrate the parameters. In the formulation used, the value of a membership function corresponding to a particular permeability value is no longer a crisp value; rather, it is associated with a range of values that can be characterized by a function that reflects the level of uncertainty. In this way, the model will be able to adequately account for all forms of uncertainties associated with predicting permeability from well log data, where uncertainties are very high and the need for stable results are highly desirable. Comparative studies have been carried out to compare the performance of the proposed type-2fuzzy logic system framework with those earlier used methods, using five different industrial reservoir data. Empirical results from simulation show that type-2fuzzylogic approach outperformed others in general and particularly in the area of stability and ability to handle data in uncertain situations, which are common characteristics of well logs data. Another unique advantage of the newly proposed model is its ability to generate, in addition to the normal target forecast, prediction intervals as its by-products without extra computational cost.
format Article
author Selamat, Ali
Olatunji, Sunday Olusanya
Abdulraheem, Abdulazeez
author_facet Selamat, Ali
Olatunji, Sunday Olusanya
Abdulraheem, Abdulazeez
author_sort Selamat, Ali
title Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
title_short Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
title_full Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
title_fullStr Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
title_full_unstemmed Modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
title_sort modeling the permeability of carbonate reservoir using type-2 fuzzy logic systems
publisher Elsevier B.V.
publishDate 2010
url http://eprints.utm.my/id/eprint/26314/
http://dx.doi.org/10.1016/j.compind.2010.10.008
_version_ 1643647739912781824
score 13.211869

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