Asphaltene precipitation prediction using a micellization model based on experimental data

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Asphaltene precipitation prediction using a micellization model based on experimental data. / Mahdavi, S.; Kharrat, R.
In: Petroleum science and technology, Vol. 29, No. 11, 2011, p. 1133-1146.

Research output: Contribution to journal › Article › Research › peer-review

Harvard

Mahdavi, S & Kharrat, R 2011, 'Asphaltene precipitation prediction using a micellization model based on experimental data', Petroleum science and technology, vol. 29, no. 11, pp. 1133-1146. https://doi.org/10.1080/10916460903530515

APA

Mahdavi, S., & Kharrat, R. (2011). Asphaltene precipitation prediction using a micellization model based on experimental data. Petroleum science and technology, 29(11), 1133-1146. https://doi.org/10.1080/10916460903530515

Vancouver

Mahdavi S, Kharrat R. Asphaltene precipitation prediction using a micellization model based on experimental data. Petroleum science and technology. 2011;29(11):1133-1146. doi: 10.1080/10916460903530515

Author

Mahdavi, S. ; Kharrat, R. / Asphaltene precipitation prediction using a micellization model based on experimental data. In: Petroleum science and technology. 2011 ; Vol. 29, No. 11. pp. 1133-1146.

Bibtex - Download

@article{895a4902691045fbb9f1ef3bf37b4851,
title = "Asphaltene precipitation prediction using a micellization model based on experimental data",
keywords = "Asphaltene, Micellization model, Precipitation, Thermodynamic, Wong-Sandler",
author = "S. Mahdavi and R. Kharrat",
note = "Funding Information: We thank the Petroleum Engineering and Development Company (PEDEC) for financial support of the work. We are also indebted to Professor A. L. Tits, Electrical Engineering Department, University of Maryland, for providing the code of the FSQP algorithm.",
year = "2011",
doi = "10.1080/10916460903530515",
language = "English",
volume = "29",
pages = "1133--1146",
journal = "Petroleum science and technology",
issn = "1091-6466",
number = "11",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Asphaltene precipitation prediction using a micellization model based on experimental data

AU - Mahdavi, S.

AU - Kharrat, R.

N1 - Funding Information: We thank the Petroleum Engineering and Development Company (PEDEC) for financial support of the work. We are also indebted to Professor A. L. Tits, Electrical Engineering Department, University of Maryland, for providing the code of the FSQP algorithm.

PY - 2011

Y1 - 2011

KW - Asphaltene

KW - Micellization model

KW - Precipitation

KW - Thermodynamic

KW - Wong-Sandler

UR - http://www.scopus.com/inward/record.url?scp=79956076648&partnerID=8YFLogxK

U2 - 10.1080/10916460903530515

DO - 10.1080/10916460903530515

M3 - Article

AN - SCOPUS:79956076648

VL - 29

SP - 1133

EP - 1146

JO - Petroleum science and technology

JF - Petroleum science and technology

SN - 1091-6466

IS - 11

ER -

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