Reconstruction of Petroleum Feedstocks by Entropy Maximization. Application to FCC Gasolines
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles, 66 3 (2011) 437-460
Published online: 2011-06-30
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:
This article has been cited by the following article(s):
Molecular management in continuous catalytic reforming operations by enhanced aromatics production through transformer-driven entropy maximization reconstruction
Yi Shi, Weimin Zhong, Xin Peng, Kaixun He and Dong XueChemical Engineering Science 309 121359 (2025)
https://doi.org/10.1016/j.ces.2025.121359
Interpretable reconstruction of naphtha components using property-based extreme gradient boosting and compositional-weighted Shapley additive explanation values
Yi Shi, Weimin Zhong, Xin Peng, Minglei Yang and Wei DuChemical Engineering Science 284 119462 (2024)
https://doi.org/10.1016/j.ces.2023.119462
168 (2024)
https://doi.org/10.1002/9781394220052.ch5
Molecular Reconstruction of Distillable Fractions of Hydrothermal Liquefaction Biocrude from Forest Biomass
Anton Alvarez-Majmutov, Rafal Gieleciak and Jinwen ChenEnergy & Fuels 38 (24) 23549 (2024)
https://doi.org/10.1021/acs.energyfuels.4c04169
Fast Molecular Reconstruction of the Chemical Composition of Complex Hydrocarbon Mixtures
N. A. Glazov and A. N. ZagoruikoTheoretical Foundations of Chemical Engineering 58 (6) 2053 (2024)
https://doi.org/10.1134/S0040579525601104
Recent progress in hydrotreating kinetics and modeling of heavy oil and residue: A review
Dduha Chehadeh, Xiaoliang Ma and Hamza Al BazzazFuel 334 126404 (2023)
https://doi.org/10.1016/j.fuel.2022.126404
Analytics Driving Kinetics: Advanced Mass Spectrometric Characterization of Petroleum Products
Aleksandar Bojkovic, Florence H. Vermeire, Maja Kuzmanović, Hang Dao Thi and Kevin M. Van GeemEnergy & Fuels 36 (1) 6 (2022)
https://doi.org/10.1021/acs.energyfuels.1c02355
Molecular reconstruction of vacuum gas oils using a general molecule library through entropy maximization
Na Wang, Chong Peng, Zhenmin Cheng and Zhiming ZhouChinese Journal of Chemical Engineering 48 21 (2022)
https://doi.org/10.1016/j.cjche.2021.06.007
Molecular Reconstruction of Hydrocarbons and Sulfur-Containing Compounds in Atmospheric and Vacuum Gas Oils
Aleksandar Bojkovic, Thomas Dijkmans, Hang Dao Thi, Marko Djokic and Kevin M. Van GeemEnergy & Fuels 35 (7) 5777 (2021)
https://doi.org/10.1021/acs.energyfuels.0c04025
Experimental and Mesoscopic Modeling Study of Water/Crude Oil Interfacial Tension
David Steinmetz, Kevin R. Arriola González, Rafael Lugo, et al.Energy & Fuels 35 (15) 11858 (2021)
https://doi.org/10.1021/acs.energyfuels.1c00834
Mathematical approach to compute the molecular composition of hydrothermal liquefaction‐derived renewable crude oil
Nikhlesh Saxena, Vishwas Prabhu, Himanshu Chandra, Rajaram Ghadge, Ramesh Bhujade and Ajit SapreAIChE Journal 67 (9) (2021)
https://doi.org/10.1002/aic.17303
Effect of experimental data accuracy on stochastic reconstruction of complex hydrocarbon mixture
Nikita Glazov, Pavel Dik and Andrey ZagoruikoCatalysis Today 378 202 (2021)
https://doi.org/10.1016/j.cattod.2020.12.022
Enhanced Representation of Thermal Cracking Chemistry in the Context of Bitumen Partial Upgrading
Anton Alvarez-Majmutov, Rafal Gieleciak and Jinwen ChenEnergy & Fuels 35 (15) 12005 (2021)
https://doi.org/10.1021/acs.energyfuels.1c01470
Challenges in characterization of residual oils. A review
Dicho Stratiev, Ivelina Shishkova, Ivaylo Tankov and Antoaneta PavlovaJournal of Petroleum Science and Engineering 178 227 (2019)
https://doi.org/10.1016/j.petrol.2019.03.026
Mathematical Modelling of Gas-Phase Complex Reaction Systems: Pyrolysis and Combustion
Eliseo Ranzi, Sauro Pierucci, Mario Dente, Marco van Goethem and Eric WagnerComputer Aided Chemical Engineering, Mathematical Modelling of Gas-Phase Complex Reaction Systems: Pyrolysis and Combustion 45 473 (2019)
https://doi.org/10.1016/B978-0-444-64087-1.00009-7
Molecular reconstruction: Recent progress toward composition modeling of petroleum fractions
Yu Ren, Zuwei Liao, Jingyuan Sun, et al.Chemical Engineering Journal 357 761 (2019)
https://doi.org/10.1016/j.cej.2018.09.083
Molecular Reconstruction of Naphtha via Limited Bulk Properties: Methods and Comparisons
Yu Ren, Zuwei Liao, Jingyuan Sun, et al.Industrial & Engineering Chemistry Research 58 (40) 18742 (2019)
https://doi.org/10.1021/acs.iecr.9b03290
Molecular reconstruction of naphtha by maximum information entropy method
Xudan Xue, Hongbo Jiang, Fusheng Ouyang and Xiaolong ZhouPetroleum Science and Technology 37 (5) 535 (2019)
https://doi.org/10.1080/10916466.2018.1550496
Modeling the molecular composition of vacuum residue from oil sand bitumen
Anton Alvarez-Majmutov, Rafal Gieleciak and Jinwen ChenFuel 241 744 (2019)
https://doi.org/10.1016/j.fuel.2018.12.096
Computer-Aided Gasoline Compositional Model Development Based on GC-FID Analysis
Chen Cui, Linzhou Zhang, Yongjian Ma, et al.Energy & Fuels 32 (8) 8366 (2018)
https://doi.org/10.1021/acs.energyfuels.8b01953
Molecular reconstruction model based on structure oriented lumping and group contribution methods
Jincai Chen, Zhou Fang and Tong QiuChinese Journal of Chemical Engineering 26 (8) 1677 (2018)
https://doi.org/10.1016/j.cjche.2017.09.013
Molecular Representation of the Petroleum Gasoline Fraction
Chen Cui, Triveni Billa, Linzhou Zhang, et al.Energy & Fuels 32 (2) 1525 (2018)
https://doi.org/10.1021/acs.energyfuels.7b03588
An application of molecular reconstruction for light petroleum cuts via entropy maximization
César Pernalete, Fernando Ruette and Alexander PerazaJournal of Computational Methods in Sciences and Engineering 17 (1) 177 (2017)
https://doi.org/10.3233/JCM-160671
Research Progress in Reaction Kinetics and Process Simulation for Inferior Oil Hydrogenation
Fei Dai, Chunshan Li and Zengxi LiJournal of Engineering Studies 09 (04) 337 (2017)
https://doi.org/10.3724/SP.J.1224.2017.00337
A single events microkinetic model for hydrocracking of vacuum gas oil
P.J. Becker, N. Serrand, B. Celse, D. Guillaume and H. DulotComputers & Chemical Engineering 98 70 (2017)
https://doi.org/10.1016/j.compchemeng.2016.11.035
Comparing hydrocracking models: Continuous lumping vs. single events
P.J. Becker, N. Serrand, B. Celse, D. Guillaume and H. DulotFuel 165 306 (2016)
https://doi.org/10.1016/j.fuel.2015.09.091
Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling
Maria Lopez Abelairas, Luis P. de Oliveira and Jan J. VerstraeteCatalysis Today 271 188 (2016)
https://doi.org/10.1016/j.cattod.2016.02.041
A Review of Kinetic Modeling Methodologies for Complex Processes
Luís P. de Oliveira, Damien Hudebine, Denis Guillaume, Jan J. Verstraete and J.F. JolyOil & Gas Science and Technology – Revue d’IFP Energies nouvelles 71 (3) 45 (2016)
https://doi.org/10.2516/ogst/2016011
The role of characterization and modeling techniques in fostering the era of computer-based catalyst and reactor design
Eseoghene Jeroro and Kurt Vanden BusscheCurrent Opinion in Chemical Engineering 13 186 (2016)
https://doi.org/10.1016/j.coche.2016.09.005
Feedstock molecular reconstruction for secondary reactions of fluid catalytic cracking gasoline by maximum information entropy method
Yanbo Pan, Bolun Yang and Xiaowei ZhouChemical Engineering Journal 281 945 (2015)
https://doi.org/10.1016/j.cej.2015.07.037
Characterization Scheme for Property Prediction of Fluid Fractions Originating from Biomass
Thanh-Binh Nguyen, Jean-Charles de Hemptinne, Benoit Creton and Georgios M. KontogeorgisEnergy & Fuels 29 (11) 7230 (2015)
https://doi.org/10.1021/acs.energyfuels.5b00782
Deriving the Molecular Composition of Vacuum Distillates by Integrating Statistical Modeling and Detailed Hydrocarbon Characterization
Anton Alvarez-Majmutov, Rafal Gieleciak and Jinwen ChenEnergy & Fuels 29 (12) 7931 (2015)
https://doi.org/10.1021/acs.energyfuels.5b02082
Simulating vacuum residue hydroconversion by means of Monte-Carlo techniques
Luís Pereira de Oliveira, Jan J. Verstraete and Max KolbCatalysis Today 220-222 208 (2014)
https://doi.org/10.1016/j.cattod.2013.08.011
Deriving the Molecular Composition of Middle Distillates by Integrating Statistical Modeling with Advanced Hydrocarbon Characterization
Anton Alvarez-Majmutov, Jinwen Chen, Rafal Gieleciak, et al.Energy & Fuels 28 (12) 7385 (2014)
https://doi.org/10.1021/ef5018169
On the application of petroleum feedstock modeling techniques for developing molecule-based models of hydrocarbon conversion processes
Anton Alvarez, Luis Carlos Castañeda and Jorge AncheytaCatalysis Today 220-222 198 (2014)
https://doi.org/10.1016/j.cattod.2013.04.009
Development of a General Modelling Methodology for Vacuum Residue Hydroconversion
L. Pereira de Oliveira, J. J. Verstraete and M. KoIbOil & Gas Science and Technology – Revue d’IFP Energies nouvelles 68 (6) 1027 (2013)
https://doi.org/10.2516/ogst/2013135
Molecule-based kinetic modeling by Monte Carlo methods for heavy petroleum conversion
Luís Pereira de Oliveira, Jan J. Verstraete and Max KolbScience China Chemistry 56 (11) 1608 (2013)
https://doi.org/10.1007/s11426-013-4989-3
Molecular Reconstruction of Petroleum Fractions: Application to Vacuum Residues from Different Origins
L. Pereira de Oliveira, A. Trujillo Vazquez, J. J. Verstraete and M. KolbEnergy & Fuels 27 (7) 3622 (2013)
https://doi.org/10.1021/ef300768u
Fluid Catalytic Cracking (FCC) Process Modeling, Simulation, and Control
Carla I. C. Pinheiro, Joana L. Fernandes, Luís Domingues, et al.Industrial & Engineering Chemistry Research 51 (1) 1 (2012)
https://doi.org/10.1021/ie200743c
A Monte Carlo modeling methodology for the simulation of hydrotreating processes
Luís Pereira de Oliveira, Jan J. Verstraete and Max KolbChemical Engineering Journal 207-208 94 (2012)
https://doi.org/10.1016/j.cej.2012.05.039