Separating Well Log Data to Train Support Vector Machines for Lithology Prediction in a Heterogeneous Carbonate Reservoir
The prediction of lithology is necessary in all areas of petroleum engineering. This means that to design a project in any branch of petroleum engineering, the lithology must be well known. Support vector machines (SVM’s) use an analytical approach to classification based on statistical learning the...
Main Authors: | Mohammad Ali Sebtosheikh, Reza Motafakkerfard, Mohammad Ali Riahi, Siyamak Moradi |
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Format: | Article |
Language: | English |
Published: |
Petroleum University of Technology
2015-05-01
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Series: | Iranian Journal of Oil & Gas Science and Technology |
Subjects: | |
Online Access: | http://ijogst.put.ac.ir/article_9588_0298d894dfc43871ed9a684297111e1f.pdf |
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