Table 5 Assessment of developed and literature models for predicting TGA behavior of crude oils.
From: Modeling residue formation from crude oil oxidation using tree-based machine learning approaches
Author(s) | Process | Number of crude oils | Number of data | Best-developed model | MARE (%) | R2 |
|---|---|---|---|---|---|---|
Rasouli et al.36 | Pyrolysis | 6 | ~ 400 | MLP | 3.50 | 0.9997 |
Norouzpour et al.37 | Pyrolysis | 6 | ~ 400 | RBF | 5.88 | 0.9996 |
Mohammadi et al.38 | Pyrolysis | 11 | 2015 | CFNN | 1.04 | 0.9999 |
Mohammadi et al.39 | Oxidation | 9 | 2289 | GRNN | 2.29 | 0.9983 |
Hadavimoghaddam et al.40 | Pyrolysis | 13 | 2071 | XGBoost | 0.78 | 0.9999 |
This study | Oxidation | 18 | 3075 | CatBoost | 4.95 | 0.9993 |
