Robust asphaltene onset pressure prediction using ensemble learning

Robust asphaltene onset pressure prediction using ensemble learning

Most works on asphaltene onset pressure (AOP) prediction rely on a single model without making them robust against noise. This paper adopts a robust approach to training three machine learning models—Multi-Layer Perceptron (MLP), CatBoost, and Random Forest (RF)—to predict AOP as a function of oil c...

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Bibliographic Details
Main Authors: Jafar Khalighi, Alexey Cheremisin
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
Asphaltene onset pressure
Machine learning
Ensemble learning
Robust optimization
Digital oilfield
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024017353
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