Hybrid soft computing systems for reservoir PVT properties prediction
Author:
- Amar KhoukhiAKAmar Khoukhi
- 1 July 2012
- journal article
- research article
- Published by Elsevier in Computers & Geosciences
- Vol. 44, 109-119
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuationsComputers & Geosciences, 2011
- SUPPORT VECTOR REGRESSION AND FUNCTIONAL NETWORKS FOR VISCOSITY AND GAS/OIL RATIO CURVES ESTIMATIONInternational Journal of Computational Intelligence and Applications, 2011
- PVT properties prediction using hybrid genetic-neuro-fuzzy systemsInternational Journal of Oil, Gas and Coal Technology, 2011
- Data mining in forecasting PVT correlations of crude oil systems based on Type1 fuzzy logic inference systemsComputers & Geosciences, 2009
- The design of fuzzy information granules: Tradeoffs between specificity and experimental evidenceApplied Soft Computing, 2009
- Evolutionary extreme learning machinePattern Recognition, 2005
- Practical application of fuzzy logic and neural networks to fractured reservoir characterizationComputers & Geosciences, 2000
- Derivation of PVT Correlations for the Gulf of Suez Crude Oils.Journal of The Japan Petroleum Institute, 1993
- New Correlations For Formation Volume Factors Of Oil And Gas MixturesJournal of Canadian Petroleum Technology, 1992
- Use of production data to estimate volume factor, density and compressibility of reservoir fluidsJournal of Petroleum Science and Engineering, 1990