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Chahrazed Benamara
Observed names:
Benamara Chahrazed,
Chahrazed BENAMARA
Observed institutions:
Sonatrach (Algeria),
University of Boumerdes
OpenAlex ID:
A5057237558
Prediction of Wax Appearance Temperature Using Artificial Intelligent Techniques
2019
·
Chahrazed Benamara
, Kheira Gharbi
, et al.
·
Arabian Journal for Science and Engineering
·
38
Modeling Wax Disappearance Temperature Using Advanced Intelligent Frameworks
2019
·
Chahrazed Benamara
, Menad Nait Amar
, et al.
·
Energy & Fuels
·
38
Toward Separation and Characterization of Asphaltene Acid and Base Fractions
2021
·
Kheira Gharbi
, Chahrazed Benamara
, et al.
·
Energy & Fuels
·
17
Modeling wax disappearance temperature using robust white-box machine learning
2024
·
Menad Nait Amar
, Noureddine Zeraibi
, et al.
·
Fuel
·
13
Robust ensemble learning frameworks for predicting minimum miscibility pressure in pure nitrogen and gas mixtures containing nitrogen–crude oil systems: Insights from explainable artificial intelligence
2025
·
Menad Nait Amar
, Noureddine Zeraibi
, et al.
·
The Canadian Journal of Chemical Engineering
·
8
A reliable model to predict mercury solubility in natural gas components: A robust machine learning framework and data assessment
2025
·
Menad Nait Amar
, Noureddine Zeraibi
, et al.
·
Journal of Hazardous Materials
·
8
Inhibition of asphaltene flocculation in light crude oil: effect of pressure, temperature and inhibitor concentration
2018
·
Kheira Gharbi
, Khaled Benyounes
, et al.
·
Petroleum Science and Technology
·
7
Predicting Methane Hydrate Formation Temperature in the Presence of Diverse Brines Using Explainable Artificial Intelligence
2025
·
Menad Nait Amar
, Noureddine Zeraibi
, et al.
·
Industrial & Engineering Chemistry Research
·
5
Chemical Prevention of Asphaltene Flocculation in Oil Production System
2019
·
Kheira Gharbi
, Khaled Benyounes
, et al.
·
IOP Conference Series Earth and Environmental Science
·
2
PDF
Probabilistic prediction of permeability damage in waterflooding using gaussian process regression
2026
·
Saifi Redha
, Nourreddine ZERAIBI
, et al.
·
International Journal of Applied Mechanics and Engineering
Predictive modeling of permeability loss at high-barium formation using symbolic regression
2025
·
Saifi Redha
, Zeraibi Nourreddine
, et al.
·
International Journal of Applied Mechanics and Engineering
PDF
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Works count:
11
Citation count:
136
H-index:
7
I10-index:
4
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