Author:
Anifowose Fatai,Adeniye Suli,Abdulraheem Abdulazeez,Al-Shuhail Abdullatif
Funder
King Fahd University of Petroleum & Minerals
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference54 articles.
1. Prediction of crude oil viscosity curve using artificial intelligence techniques;Al-Marhoun;J. Pet. Sci. Eng.,2012
2. Amaefule, J.O., Altunbay, M., Tiab, D., Kersey, D.G., Keelan, D.K., 1993. Enhanced reservoir description: using core and log data to identify hydraulic (flow) units and predict permeability in uncored intervals/wells. In: Proceedings of the SPE 68th Annual Technical Conference and Exhibition. Housten, TX: SPE/Onepetro Database.
3. Anifowose, F., Abdulraheem, A., 2010. How small is a “small” data. In: Proceedings 2nd Saudi Conference on Oil and Gas Exploration and Production Technologies. OGEP, 18–20 December, Paper # OGEP-2010-043. Saudi Arabian Oil and Gas, EPRasheed Signature Series, Dhahran, Issue 17.
4. Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization;Anifowose;J. Nat. Gas Sci. Eng.,2011
5. Anifowose, F., Labadin, J., Abdulraheem, A., 2011. A hybrid of functional networks and support vector machine models for the prediction of petroleum reservoir properties. In: Proceedings of 11th International Conference on Hybrid Intelligent Systems. IEEExplore, 5–8 December, Paper #45. Meleka, Malaysia, pp. 85–90.
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