Perspectives on Microfluidics for the Study of Asphaltenes in Upstream Hydrocarbon Production: A Minireview

Sharma, Mrityunjay K.; Hartman, Ryan L.

doi:10.1021/acs.energyfuels.2c00884

Perspectives on Microfluidics for the Study of Asphaltenes in Upstream Hydrocarbon Production: A Minireview

Journal Article · 24 June 2022 · Energy and Fuels

DOI:https://doi.org/10.1021/acs.energyfuels.2c00884· OSTI ID:1977826

Sharma, Mrityunjay K. ^[1]; ^[1]

Department of Chemical and Biomolecular Engineering, NYU Tandon School of Engineering, Brooklyn, New York 11201, United States

Not provided.

Research Organization:: New York Univ. (NYU), NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: SC0022161

OSTI ID:: 1977826

Journal Information:: Energy and Fuels, Vol. 36, Issue 16; ISSN 0887-0624

Publisher:: American Chemical Society (ACS)

Country of Publication:: United States

Language:: English

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Absorption spectroscopy to determine the extent and mechanisms of aging in bitumen and asphaltenes Hung, Albert M.; Fini, Ellie H. Fuel, Vol. 242 https://doi.org/10.1016/j.fuel.2019.01.085	journal	April 2019
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Thermodynamic models for asphaltene solubility and precipitation Andersen, Simon I.; Speight, James G. Journal of Petroleum Science and Engineering, Vol. 22, Issue 1-3 https://doi.org/10.1016/S0920-4105(98)00057-6	journal	January 1999
Asphaltene Precipitation Models: A Review Subramanian, Sreedhar; Simon, Sébastien; Sjöblom, Johan Journal of Dispersion Science and Technology, Vol. 37, Issue 7 https://doi.org/10.1080/01932691.2015.1065418	journal	September 2015
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Comparison of scaling equation with neural network model for prediction of asphaltene precipitation Ashoori, S.; Abedini, A.; Abedini, R. Journal of Petroleum Science and Engineering, Vol. 72, Issue 1-2 https://doi.org/10.1016/j.petrol.2010.03.016	journal	May 2010
A New Scaling Equation for Modeling of Asphaltene Precipitation Jamialahmadi, M.; Ahmadi, K. All Days https://doi.org/10.2118/85673-MS	conference	August 2003
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Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling, Least Squares Support Vector Machine, and Artificial Neural Networks Mazloom, Mohammad Sadegh; Rezaei, Farzaneh; Hemmati-Sarapardeh, Abdolhossein Nanomaterials, Vol. 10, Issue 5 https://doi.org/10.3390/nano10050890	journal	May 2020
Prediction of Asphaltene Precipitation: Learning from Data at Different Conditions Sayyad Amin, Javad; Alamdari, Abdolmohammad; Mehranbod, Nasir Energy & Fuels, Vol. 24, Issue 7 https://doi.org/10.1021/ef100106r	journal	June 2010
New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept Ahmadi, Mohammad Ali; Shadizadeh, Seyed Reza Fuel, Vol. 102 https://doi.org/10.1016/j.fuel.2012.05.050	journal	December 2012
Neural network based unified particle swarm optimization for prediction of asphaltene precipitation Ahmadi, Mohammad Ali Fluid Phase Equilibria, Vol. 314 https://doi.org/10.1016/j.fluid.2011.10.016	journal	January 2012
Asphaltene Deposition during Bitumen Extraction with Natural Gas Condensate and Naphtha Qi, ZhenBang; Abedini, Ali; Sharbatian, Atena Energy & Fuels, Vol. 32, Issue 2 https://doi.org/10.1021/acs.energyfuels.7b03495	journal	January 2018
Removal of asphaltene deposition in porous media using emulsified solvents - A visual study Shahsavar, N.; Riazi, M.; Malayeri, M. R. Journal of Petroleum Science and Engineering, Vol. 191 https://doi.org/10.1016/j.petrol.2020.107207	journal	August 2020
Effect of resins, waxes and asphaltenes on water-oil interfacial properties and emulsion stability Zhang, Juan; Tian, Dan; Lin, Meiqin Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol. 507 https://doi.org/10.1016/j.colsurfa.2016.07.081	journal	October 2016
Effect of Ethylcellulose on the Rheology and Mechanical Heterogeneity of Asphaltene Films at the Oil–Water Interface Chang, Chih-Cheng; Williams, Ian; Nowbahar, Arash Langmuir, Vol. 35, Issue 29 https://doi.org/10.1021/acs.langmuir.9b00834	journal	July 2019
A novel oxygen-containing demulsifier for efficient breaking of water-in-oil emulsions Ma, Jun; Li, Xingang; Zhang, Xueying Chemical Engineering Journal, Vol. 385 https://doi.org/10.1016/j.cej.2019.123826	journal	April 2020
Formation and stability of W/O emulsions in presence of asphaltene at reservoir thermodynamic conditions Ismail, Ismail; Kazemzadeh, Yousef; Sharifi, Mohammad Journal of Molecular Liquids, Vol. 299 https://doi.org/10.1016/j.molliq.2019.112125	journal	February 2020

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