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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