Prediction of High-Pressure Physical Properties of Crude Oil Using Explainable Machine Learning Models

Prediction of High-Pressure Physical Properties of Crude Oil Using Explainable Machine Learning Models

High-pressure physical property parameters of formation crude oil are crucial for oilfield exploration, development, and production. Various prediction models have been developed using PVT experimental methods, empirical formulas, regression analysis, and machine learning techniques. However, these...

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Bibliographic Details
Main Authors: Yawen He, Jianwen Chen, Zhiyu Wu, Yaxin Dun, Guichao Du, Mengsen Feng, Yifan Lu, Wei Dang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Extreme gradient boosting
particle swarm optimization
model interpretation
machine learning
PVT property
Online Access:https://ieeexplore.ieee.org/document/10815941/
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