Toward prediction of petroleum reservoir fluids properties: A rigorous model for estimation of solution gas-oil ratio-Reference-Cited by-同舟云学术

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Toward prediction of petroleum reservoir fluids properties: A rigorous model for estimation of solution gas-oil ratio

Published:2016-02 Issue: Volume:29 Page:506-516
ISSN:1875-5100
Container-title:Journal of Natural Gas Science and Engineering
language:en
Short-container-title:Journal of Natural Gas Science and Engineering

Author:

Tohidi-Hosseini Seyed-Morteza,Hajirezaie Sassan,Hashemi-Doulatabadi Mehran,Hemmati-Sarapardeh Abdolhossein,Mohammadi Amir H.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference53 articles.

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2. Adaptive learning model for predicting negotiation behaviors through hybrid k-means clustering, linear vector quantization and 2-Tuple fuzzy linguistic model;Agarwal;Procedia Comput. Sci.,2014

3. Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs;Ahmadi;Fuel,2014

4. Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool;Ahmadi;Petroleum,2015

5. PVT correlations for middle east crude oils;Al-Marhoun;J. Pet. Technol.,1988

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