Prediction of Oil Recovery Factor in Stratified Reservoirs after Immiscible Water-Alternating Gas Injection Based on PSO-, GSA-, GWO-, and GA-LSSVM

Prediction of Oil Recovery Factor in Stratified Reservoirs after Immiscible Water-Alternating Gas Injection Based on PSO-, GSA-, GWO-, and GA-LSSVM

In this study, we solve the challenge of predicting oil recovery factor (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>RF</mi></mrow></semantics></math></inline-formu...

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Bibliographic Details
Main Authors:	Pål Østebø Andersen, Jan Inge Nygård, Aizhan Kengessova
Format:	Article
Language:	English
Published:	MDPI AG 2022-01-01
Series:	Energies
Subjects:	water-alternating-gas (WAG) physics-informed machine learning least square support vector machine (LSSVM) particle swarm optimization (PSO) dimensionless numbers hysteresis
Online Access:	https://www.mdpi.com/1996-1073/15/2/656

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