The use of artificial neural network to predict correlation of cementation factor to petrophysical properties in Yamamma formation
The cementation factor has specific effects on petrophysical properties in porous media. The accurate determination of this factor gives reliable saturation results and consequently hydrocarbon reserve calculations. Nasiriya oil field is the studied field, which is one of the giant oil fields in the...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Inderscience Enterprises Ltd.
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/81137/ http://dx.doi.org/10.1504/IJOGCT.2017.087860 |
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| Institution: | Universiti Teknologi Malaysia |