Estimating oil–gas ratio for volatile oil and gas condensate reservoirs: artificial neural network, support vector machines and functional network approach

Estimating oil–gas ratio for volatile oil and gas condensate reservoirs: artificial neural network, support vector machines and functional network approach

Abstract Laboratory experiment ideally, is the main method to obtain PVT properties of the oil and gas reservoir fluids. The alternative two methods widely used when laboratory experiments are not available are: equation of state (EOS) and empirical PVT correlations. The EOS requires lots of numeric...

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Bibliographic Details
Main Authors: Mohammed A. Khamis, K. A. Fattah
Format: Article
Language:English
Published: SpringerOpen 2018-06-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Oil–gas ratio model
PVT lab report
Gas condensate
Volatile oil
Modified black oil simulation
Artificial neural network
Online Access:http://link.springer.com/article/10.1007/s13202-018-0501-0

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