Development of a new approach using an artificial neural network for estimating oil formation volume factor at bubble point pressure of Egyptian crude oil

Development of a new approach using an artificial neural network for estimating oil formation volume factor at bubble point pressure of Egyptian crude oil

Understanding the phase behavior and volumetric changes of reservoir fluids throughout the extent of reservoir lifetime are crucially required for effective-commercial oil recoveries. Ideally, reservoir fluid properties are experimentally measured by laboratory experiments known as PVT tests nonethe...

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Bibliographic Details
Main Authors: Abdelrahman Gouda, Attia Mahmoud Attia
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Journal of King Saud University: Engineering Sciences
Subjects:
Egyptian crude oil
Oil formation volume factor at bubble point pressure
Artificial Neural Network
Empirical correlations
Computer programming
Online Access:http://www.sciencedirect.com/science/article/pii/S1018363922000721

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http://www.sciencedirect.com/science/article/pii/S1018363922000721

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