Research output per year
Research output per year
- 14 results
Search results
-
2025
AI-based models for predicting rock/mineral-hydrogen-brine contact angles using experimental data
Hajibolouri, E. & Shafiei, A., Nov 7 2025, In: International Journal of Hydrogen Energy. 186, 151926.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
New connectionist tools for prediction of CO2 diffusion coefficient in brine at high pressure and temperature ─ implications for CO2 sequestration in deep saline aquifers
Kouhi, M. M., Kahzadvand, K., Shahin, M. & Shafiei, A., Mar 15 2025, In: Fuel. 384, 134000.Research output: Contribution to journal › Article › peer-review
10 Link opens in a new tab Citations (Scopus) -
New intelligent models for predicting wax appearance temperature using experimental data – Flow assurance implications
Mahmoudi Kouhi, M., Shafiei, A., Bekkuzhina, T. & Abutalip, M., Jan 15 2025, In: Fuel. 380, 133146.Research output: Contribution to journal › Article › peer-review
Open Access7 Link opens in a new tab Citations (Scopus) -
Novel intelligent models for prediction of hydrogen diffusion coefficient in brine using experimental and molecular dynamics simulation data: Implications for underground hydrogen storage in geological formations
Piroozi, G., Kouhi, M. M. & Shafiei, A., May 15 2025, In: Journal of Energy Storage. 118, 116297.Research output: Contribution to journal › Article › peer-review
8 Link opens in a new tab Citations (Scopus) -
2024
A novel green nanocomposite for EOR: Experimental Investigation of IFT Reduction, wettability Shift, and nanofluid stability
Bello, M. N. & Shafiei, A., Nov 15 2024, In: Journal of Molecular Liquids. 414, 126187.Research output: Contribution to journal › Article › peer-review
9 Link opens in a new tab Citations (Scopus) -
Novel robust Elman neural network-based predictive models for bubble point oil formation volume factor and solution gas–oil ratio using experimental data
Kohzadvand, K., Mahmoudi Kouhi, M., Ghasemi, M. & Shafiei, A., Aug 2024, In: Neural Computing and Applications. 36, 23, p. 14503-14526 24 p.Research output: Contribution to journal › Article › peer-review
6 Link opens in a new tab Citations (Scopus) -
Permeability modelling in a highly heterogeneous tight carbonate reservoir using comparative evaluating learning-based and fitting-based approaches
Hajibolouri, E., Roozshenas, A. A., Miri, R., Soleymanzadeh, A., Kord, S. & Shafiei, A., Dec 2024, In: Scientific Reports. 14, 1, 10209.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Link opens in a new tab Citations (Scopus)17 Downloads (Pure) -
2023
Control of Asphaltene Precipitation by MgO and NiO Nanoparticles as Inhibitors onto Calcite Surface: Experimental Approach
Tazikeh, S., Rakhmetullin, A. & Shafiei, A., 2023, 84th EAGE Annual Conference and Exhibition. European Association of Geoscientists and Engineers, EAGE, p. 703-707 5 p. (84th EAGE Annual Conference and Exhibition; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Link opens in a new tab Citation (Scopus) -
2022
A Comparison between the Perturbed-Chain Statistical Associating Fluid Theory Equation of State and Machine Learning Modeling Approaches in Asphaltene Onset Pressure and Bubble Point Pressure Prediction during Gas Injection
Tazikeh, S., Davoudi, A., Shafiei, A., Parsaei, H., Atabaev, T. S. & Ivakhnenko, O. P., Aug 16 2022, In: ACS Omega. 7, 34, p. 30113−30124 12 p.Research output: Contribution to journal › Article › peer-review
Open Access8 Link opens in a new tab Citations (Scopus) -
Asphaltene Precipitation Prediction during Bitumen Recovery: Experimental Approach versus Population Balance and Connectionist Models
Yerkenov, T., Tazikeh, S., Tatar, A. & Shafiei, A., Sept 20 2022, In: ACS Omega. 7, 37, p. 33123-33137 15 p.Research output: Contribution to journal › Article › peer-review
Open Access6 Link opens in a new tab Citations (Scopus) -
A systematic and critical review of asphaltene adsorption from macroscopic to microscopic scale: Theoretical, experimental, statistical, intelligent, and molecular dynamics simulation approaches
Tazikeh, S., Shafiei, A., Yerkenov, T., Abenov, A., Seitmaganbetov, N. & Atabaev, T. S., Dec 1 2022, In: Fuel. 329, 125379.Research output: Contribution to journal › Review article › peer-review
56 Link opens in a new tab Citations (Scopus) -
Effects of asphaltene structure and polythiophene-coated magnetite nanoparticles on surface topography and wettability alteration of silica surface
Tazikeh, S., Sayyad Amin, J., Zendehboudi, S. & Shafiei, A., Mar 1 2022, In: Journal of Molecular Liquids. 349, 118470.Research output: Contribution to journal › Article › peer-review
23 Link opens in a new tab Citations (Scopus) -
Prediction of Asphaltene Adsorption Capacity of Clay Minerals using Machine Learning
Ghasemi, M., Tatar, A., Shafiei, A. & Ivakhnenko, O. P., Sept 26 2022, In: Canadian Journal of Chemical Engineering. 101, 5, p. 2579-2597 19 p.Research output: Contribution to journal › Article › peer-review
Open Access9 Link opens in a new tab Citations (Scopus) -
2021
Characterization of crude oils and asphaltenes using the PC-SAFT EoS: A systematic review
Seitmaganbetov, N., Rezaei, N. & Shafiei, A., May 1 2021, In: Fuel. 291, 120180.Research output: Contribution to journal › Review article › peer-review
29 Link opens in a new tab Citations (Scopus)