Separating Well Log Data to Train Support Vector Machines for Lithology Prediction in a Heterogeneous Carbonate Reservoir

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...

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Bibliographic Details
Main Authors: Mohammad Ali Sebtosheikh, Reza Motafakkerfard, Mohammad Ali Riahi, Siyamak Moradi
Format: Article
Language:English
Published: Petroleum University of Technology 2015-05-01
Series:Iranian Journal of Oil & Gas Science and Technology
Subjects:
Lithology Prediction
Support Vector Machines
Kernel Functions
Heterogeneous Carbonate Reservoirs
Petrophysical Well Logs
Online Access:http://ijogst.put.ac.ir/article_9588_0298d894dfc43871ed9a684297111e1f.pdf

Internet

http://ijogst.put.ac.ir/article_9588_0298d894dfc43871ed9a684297111e1f.pdf

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