Quantitative Molecular Representation and Sequential Optimization of Athabasca Asphaltenes-Reference-Cited by-同舟云学术

Quantitative Molecular Representation and Sequential Optimization of Athabasca Asphaltenes

Published:2004-07-20 Issue:5 Volume:18 Page:1377-1384
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Sheremata Jeff M.¹,Gray Murray R.¹,Dettman Heather D.¹,McCaffrey William C.¹

Affiliation:

1. Department of Chemical and Materials Engineering, University of Alberta, Edmonton, Alberta T6G 2G6, Canada, and National Center For Upgrading Technology, 1 Oil Patch Drive, Devon, Alberta T0C 1E0, Canada

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/ef049936%2B

Reference32 articles.

1. Molecular representation of complex hydrocarbon feedstocks through efficient characterization and stochastic algorithms

2. Theoretical Estimation of the Solubility Parameter Distributions of Asphaltenes, Resins, and Oils from Crude Oils and Related Materials

3. Simulation of Interactions in Asphaltene Aggregates

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