Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Production optimization in a fractured carbonate reservoir with high producing GOR

Amin Izadpanahi, Reza Azin, Shahriar Osfouri and Reza Malakooti
Energy Geoscience 5 (4) 100334 (2024)
https://doi.org/10.1016/j.engeos.2024.100334

Multi-objective optimization of petroleum engineering problems using a hybrid workflow: Combination of particle swarm optimization, fuzzy logic, imperialist competitive algorithm and response surface methodology

Mohammad Sadegh Karambeigi, Atefeh Hasan-Zadeh, Mohammad Saber Karambeigi, Seyyed Ali Faal Rastegar, Masoud Nasiri and Yousef Kazemzadeh
Geoenergy Science and Engineering 224 211579 (2023)
https://doi.org/10.1016/j.geoen.2023.211579

Selecting representative geological realizations to model subsurface CO2 storage under uncertainty

Seyed Kourosh Mahjour and Salah A. Faroughi
International Journal of Greenhouse Gas Control 127 103920 (2023)
https://doi.org/10.1016/j.ijggc.2023.103920

Sequential design strategy for kriging and cokriging-based machine learning in the context of reservoir history-matching

A. Thenon, V. Gervais and M. Le Ravalec
Computational Geosciences 26 (5) 1101 (2022)
https://doi.org/10.1007/s10596-022-10147-5

Multi-Objective Optimization of Petroleum Engineering Problems Using a Hybrid Workflow: Combination of Combination of Particle Swarm Optimization, Fuzzy Logic, Imperialist Competitive Algorithm and Response Surface Methodology

Mohammad Sadegh Karambeigi, Atefeh Hasan-Zadeh, Mohammad Saber Karambeigi, et al.
SSRN Electronic Journal (2022)
https://doi.org/10.2139/ssrn.4170655

Uncertainty quantification of shale capillary desaturation curves for surfactant EOR in shale through fracturing fluids using predictive modeling

Nur Wijaya and James J. Sheng
Fuel 283 118857 (2021)
https://doi.org/10.1016/j.fuel.2020.118857

Novel green surfactant made from L-aspartic acid as enhancer of oil production from sandstone reservoirs: Wettability, IFT, microfluidic, and core flooding assessments

Masoud Deljooei, Ghasem Zargar, Vahid Nooripoor, Mohammad Ali Takassi and Ali Esfandiarian
Journal of Molecular Liquids 323 115037 (2021)
https://doi.org/10.1016/j.molliq.2020.115037

Information, robustness, and flexibility to manage uncertainties in petroleum field development

Susana M.G. Santos, Ana T.F.S. Gaspar and Denis J. Schiozer
Journal of Petroleum Science and Engineering 196 107562 (2021)
https://doi.org/10.1016/j.petrol.2020.107562

A complete workflow applied on an oil reservoir analogue to evaluate the ability of 4D seismics to anticipate the success of a chemical enhanced oil recovery process

Noalwenn Dubos-Sallée, André Fourno, Jeanneth Zarate-Rada, et al.
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 75 18 (2020)
https://doi.org/10.2516/ogst/2020011

Foam processes in naturally fractured carbonate oil-wet reservoirs: Technical and economic analysis and optimization

Sarah Bouquet, Frederic Douarche, Frederic Roggero and Bernard Bourbiaux
Journal of Petroleum Science and Engineering 190 107111 (2020)
https://doi.org/10.1016/j.petrol.2020.107111

Modelization of surfactant flooding: Methodology for determining the interfacial tension function of surfactant concentration and salinity

I. Malinouskaya, C. Preux, A. Martin and A. Delbos
Journal of Petroleum Science and Engineering 195 107894 (2020)
https://doi.org/10.1016/j.petrol.2020.107894

Bayesian model calibration and optimization of surfactant-polymer flooding

Pratik Naik, Piyush Pandita, Soroush Aramideh, Ilias Bilionis and Arezoo M. Ardekani
Computational Geosciences 23 (5) 981 (2019)
https://doi.org/10.1007/s10596-019-09858-z

Model-based decision analysis applied to petroleum field development and management

Denis José Schiozer, Antonio Alberto de Souza dos Santos, Susana Margarida de Graça Santos and João Carlos von Hohendorff Filho
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 74 46 (2019)
https://doi.org/10.2516/ogst/2019019

Effects of EOR chemicals and superficial gas velocity on bubble size and gas holdup of a bubble column

Aloisio E. Orlando, Luiz F. Barca, Tania S. Klein and Ricardo A. Medronho
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 74 79 (2019)
https://doi.org/10.2516/ogst/2019054

Multi-Objective Optimization of Microemulsion Flooding for Chemical Enhanced Oil Recovery

Mohammad Saber Karambeigi, Ali Haghighi Asl and Masoud Nasiri
Oil & Gas Sciences and Technology – Revue d’IFP Energies nouvelles 73 4 (2018)
https://doi.org/10.2516/ogst/2017032

A novel non-intrusive method using design of experiments and smooth approximation to speed up multi-period load-flows in distribution network planning

Héloïse Dutrieux Baraffe, Marjorie Cosson, Julien Bect, Gauthier Delille and Bruno Francois
Electric Power Systems Research 154 444 (2018)
https://doi.org/10.1016/j.epsr.2017.08.036

Influence of stability of polymer surfactant on oil displacement mechanism

Li Liu, Chengliang Li, Yanming Pi, et al.
IOP Conference Series: Earth and Environmental Science 113 012135 (2018)
https://doi.org/10.1088/1755-1315/113/1/012135

Multi-objective assisted inversion of chemical EOR corefloods for improving the predictive capacity of numerical models

Sarah Leray, Frédéric Douarche, René Tabary, et al.
Journal of Petroleum Science and Engineering 146 1101 (2016)
https://doi.org/10.1016/j.petrol.2016.08.015