Robust committee machine for water saturation prediction.

Water saturation is one of the important physical properties of the petroleum reservoir which are usually determined by core analysis. An accurate determination of this parameter is significant to execute a realistic evaluation of hydrocarbon reserves in the formation and also decreasing the economi...

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Main Authors: Mashohor, Syamsiah, Kenari, Seyed Ali Jafari
Format: Article
Language:English
English
Published: 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28591/
http://psasir.upm.edu.my/id/eprint/28591/1/Robust%20committee%20machine%20for%20water%20saturation%20prediction.pdf
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author Mashohor, Syamsiah
Kenari, Seyed Ali Jafari
author_facet Mashohor, Syamsiah
Kenari, Seyed Ali Jafari
author_sort Mashohor, Syamsiah
building UPM Institutional Repository
collection Online Access
description Water saturation is one of the important physical properties of the petroleum reservoir which are usually determined by core analysis. An accurate determination of this parameter is significant to execute a realistic evaluation of hydrocarbon reserves in the formation and also decreasing the economic risk. In this study, a robust technique is proposed to determine an accurate value of this parameter from well log data in un-cored well or at un-cored interval of the same well by combining different types of machine learning techniques. The final results (sub-CM outputs) demonstrated that integrating these techniques using proposed method provides an accurate, fast and cost-effective method for estimating the target value.
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publishDate 2013
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spelling upm-285912015-10-08T07:22:48Z http://psasir.upm.edu.my/id/eprint/28591/ Robust committee machine for water saturation prediction. Mashohor, Syamsiah Kenari, Seyed Ali Jafari Water saturation is one of the important physical properties of the petroleum reservoir which are usually determined by core analysis. An accurate determination of this parameter is significant to execute a realistic evaluation of hydrocarbon reserves in the formation and also decreasing the economic risk. In this study, a robust technique is proposed to determine an accurate value of this parameter from well log data in un-cored well or at un-cored interval of the same well by combining different types of machine learning techniques. The final results (sub-CM outputs) demonstrated that integrating these techniques using proposed method provides an accurate, fast and cost-effective method for estimating the target value. 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28591/1/Robust%20committee%20machine%20for%20water%20saturation%20prediction.pdf Mashohor, Syamsiah and Kenari, Seyed Ali Jafari (2013) Robust committee machine for water saturation prediction. Journal of Petroleum Science and Engineering, 104 (April). 10-Jan. ISSN 0920-4105 10.1016/j.petrol.2013.03.009 English
spellingShingle Mashohor, Syamsiah
Kenari, Seyed Ali Jafari
Robust committee machine for water saturation prediction.
title Robust committee machine for water saturation prediction.
title_full Robust committee machine for water saturation prediction.
title_fullStr Robust committee machine for water saturation prediction.
title_full_unstemmed Robust committee machine for water saturation prediction.
title_short Robust committee machine for water saturation prediction.
title_sort robust committee machine for water saturation prediction.
url http://psasir.upm.edu.my/id/eprint/28591/
http://psasir.upm.edu.my/id/eprint/28591/
http://psasir.upm.edu.my/id/eprint/28591/1/Robust%20committee%20machine%20for%20water%20saturation%20prediction.pdf