Modeling residue formation from crude oil oxidation using tree-based machine learning approaches

Modeling residue formation from crude oil oxidation using tree-based machine learning approaches

Abstract In-situ combustion (ISC) offers a compelling solution for enhancing oil recovery, particularly for heavy crude oils. This process involves the oxidation and pyrolysis of hydrocarbons, generating heat and depositing fuel in the combustion front. In this work, the thermo-oxidative profiles an...

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Main Authors: Mohammad-Reza Mohammadi, Seyyed-Mohammad-Mehdi Hosseini, Behnam Amiri-Ramsheh, Saptarshi Kar, Ali Abedi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Thermo-oxidative behavior
Crude oil
Residue formation
Thermal EOR
In-situ combustion
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-10012-2
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https://doi.org/10.1038/s41598-025-10012-2

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