Genetic optimization of neural network and fuzzy logic for oil bubble point pressure modeling
- 1 February 2014
- journal article
- research article
- Published by Springer Nature in Korean Journal of Chemical Engineering
- Vol. 31 (3) , 496-502
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Hybrid soft computing systems for reservoir PVT properties predictionComputers & Geosciences, 2012
- Estimation of bubble point pressure from PVT data using a power-law committee with intelligent systemsJournal of Petroleum Science and Engineering, 2012
- Prediction of Compressional, Shear, and Stoneley Wave Velocities from Conventional Well Log Data Using a Committee Machine with Intelligent SystemsRock Mechanics and Rock Engineering, 2011
- PVT properties prediction using hybrid genetic-neuro-fuzzy systemsInternational Journal of Oil, Gas and Coal Technology, 2011
- Virtual-Intelligence Applications in Petroleum Engineering: Part 1—Artificial Neural NetworksJournal of Petroleum Technology, 2000
- Reservoir-Fluid Property Correlations—State of the ArtSPE Reservoir Engineering, 1991
- PVT Correlations for Middle East Crude OilsJournal of Petroleum Technology, 1988
- Fuzzy identification of systems and its applications to modeling and controlIEEE Transactions on Systems, Man, and Cybernetics, 1985
- Generalized Pressure-Volume-Temperature CorrelationsJournal of Petroleum Technology, 1980
- Fuzzy setsInformation and Control, 1965