Improving water saturation estimation in a tight shaly sandstone reservoir using artificial neural network optimized by imperialist competitive algorithm

Improving water saturation estimation in a tight shaly sandstone reservoir using artificial neural network optimized by imperialist competitive algorithm – A case study

Published:2015-03 Issue: Volume:127 Page:347-358
ISSN:0920-4105
Container-title:Journal of Petroleum Science and Engineering
language:en
Short-container-title:Journal of Petroleum Science and Engineering

Author:

Amiri Morteza,Ghiasi-Freez Javad,Golkar Behnam,Hatampour Amir

Funder

Abadan Faculty of Petroleum Engineering (AIT)

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference27 articles.

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3. Introducing new method to improve log derived saturation estimation in tight shaly sandstones. A case study from Mesaverde tight gas reservoir;Amiri;J. Pet. Sci. Eng.,2012

4. The electrical resistivity log as an aid in determining some reservoir characteristics;Archie;Trans. AIME,1942

5. Atashpaz-Gargari, E., Lucas, C., 2007. Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In: Proceedings of the IEEE Congress on Evolutionary Computation, pp. 4661–4667.

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