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dc.contributor.authorKadkhodaie Ilkhchi, A.
dc.contributor.authorRezaee, M. Reza
dc.contributor.authorRahimpour-Bonab, H.
dc.contributor.authorChehrazi, A.
dc.identifier.citationKadkhodaie Ilkhchi, Ali and Rezaee, M. Reza and Rahimpour-Bonab, Hossain and Chehrazi, Ali. 2009. Petrophysical data prediction from seismic attributes using committee fuzzy inference system. Computers & Geosciences. 35 (12): pp. 2314-2330.

This study presents an intelligent model based on fuzzy systems for making aquantitative formulation between seismic attributes and petrophysical data. The proposed methodology comprises two major steps. Firstly, the petrophysical data, including water saturation (Sw) and porosity, are predicted from seismic attributes using various Fuzzy Inference Systems (FIS), including Sugeno (SFIS), Mamdani (MFIS) and Larsen (LFIS). Secondly, a Committee Fuzzy Inference System (CFIS) is constructed using a hybrid Genetic Algorithms-Pattern Search (GA-PS) technique. The inputs of the CFIS model are the output averages of theFIS petrophysical data. The methodology is illustrated using 3D seismic and petrophysical data of 11 wells of an Iranian offshore oil field in the Persian Gulf. The performance of the CFIS model is compared with a Probabilistic Neural Network (PNN). The results show that the CFIS method performed better than neural network, the best individual fuzzy model and a simple averaging method.

dc.subjectseismic attributes
dc.subjectprobabilistic neural network
dc.subjectpetrophysical data
dc.subjecthybrid genetic - algorithm-pattern search
dc.subjectCommittee fuzzy inference system
dc.titlePetrophysical data prediction from seismic attributes using committee fuzzy inference system
dc.typeJournal Article
dcterms.source.titleComputers & Geosciences

The link to the journal’s home page is: Copyright © 2009 Elsevier B.V. All rights reserved

curtin.accessStatusOpen access
curtin.facultyDepartment of Petroleum Engineering
curtin.facultySchool of Engineering
curtin.facultyFaculty of Science and Engineering

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