The Porosity Prediction of One of Iran South Oil Field Carbonate Reservoirs Using Support Vector Regression
Porosity is considered as an important petrophysical parameter in characterizing reservoirs, calculating in-situ oil reserves, and production evaluation. Nowadays, using intelligent techniques has become a popular method for porosity estimation. Support vector machine (SVM) a new intelligent method...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Petroleum University of Technology
2013-07-01
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| Series: | Iranian Journal of Oil & Gas Science and Technology |
| Subjects: | |
| Online Access: | http://ijogst.put.ac.ir/article_3642_4286517623335d98d338ff94a3483bdd.pdf |