Asphaltene precipitation prediction using a micellization model based on experimental data

S. Mahdavi; R. Kharrat

doi:10.1080/10916460903530515

Asphaltene precipitation prediction using a micellization model based on experimental data

S. Mahdavi, R. Kharrat

Chair of Reservoir Engineering (570)

Petroleum University of Technology

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

5 Citations (Scopus)

Original language	English
Pages (from-to)	1133-1146
Number of pages	14
Journal	Petroleum science and technology
Volume	29
Issue number	11
DOIs	https://doi.org/10.1080/10916460903530515
Publication status	Published - 2011

Bibliographical 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.

Keywords

Asphaltene
Micellization model
Precipitation
Thermodynamic
Wong-Sandler

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10.1080/10916460903530515

Cite this

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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",

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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

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U2 - 10.1080/10916460903530515

DO - 10.1080/10916460903530515

M3 - Article

AN - SCOPUS:79956076648

SN - 1091-6466

VL - 29

SP - 1133

EP - 1146

JO - Petroleum science and technology

JF - Petroleum science and technology

IS - 11

ER -

Asphaltene precipitation prediction using a micellization model based on experimental data

Bibliographical note

Keywords

Access to Document

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