Comparative study of compositional viscosity prediction models for medium-heavy oils

Bipin Raut; Shirish L. Patil; Abhijit Y. Dandekar; Robert Fisk; Beth Maclean; Vanessa Hice

doi:10.1504/IJOGCT.2008.019844

Comparative study of compositional viscosity prediction models for medium-heavy oils

Bipin Raut, Shirish L. Patil, Abhijit Y. Dandekar^*, Robert Fisk, Beth Maclean, Vanessa Hice

^*Corresponding author for this work

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

6 Scopus citations

Abstract

This paper presents a comprehensive comparative study of composition-based Lohrenz-Bray-Clark (LBC) and principle of corresponding states (PCS) class viscosity prediction models for 11 different medium to heavy oils. The data sets span a wide range of pressures from 14.7 psia to 5000 psia; temperatures from 80 F to 180 F; and viscosities from 10 cP to 475 cP, typical of medium to heavy oils. The results show that all the LBC class models heavily underpredict the viscosities, whereas qualitatively PCS class models, in general, predict the viscosities in the range of the experimental values. However, none of the studied models were found to be truly predictive. [Received: June 2, 2007; Accepted: September 21, 2007]

Original language	English
Pages (from-to)	229-249
Number of pages	21
Journal	International Journal of Oil, Gas and Coal Technology
Volume	1
Issue number	3
DOIs	https://doi.org/10.1504/IJOGCT.2008.019844
State	Published - 2008
Externally published	Yes

Keywords

EOR
Enhanced Oil Recovery
LBC method
compositional prediction model
corresponding states method
medium heavy oils
plus fraction characterisation

ASJC Scopus subject areas

General Energy

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10.1504/IJOGCT.2008.019844

Cite this

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title = "Comparative study of compositional viscosity prediction models for medium-heavy oils",

abstract = "This paper presents a comprehensive comparative study of composition-based Lohrenz-Bray-Clark (LBC) and principle of corresponding states (PCS) class viscosity prediction models for 11 different medium to heavy oils. The data sets span a wide range of pressures from 14.7 psia to 5000 psia; temperatures from 80 F to 180 F; and viscosities from 10 cP to 475 cP, typical of medium to heavy oils. The results show that all the LBC class models heavily underpredict the viscosities, whereas qualitatively PCS class models, in general, predict the viscosities in the range of the experimental values. However, none of the studied models were found to be truly predictive. [Received: June 2, 2007; Accepted: September 21, 2007]",

keywords = "EOR, Enhanced Oil Recovery, LBC method, compositional prediction model, corresponding states method, medium heavy oils, plus fraction characterisation",

author = "Bipin Raut and Patil, \{Shirish L.\} and Dandekar, \{Abhijit Y.\} and Robert Fisk and Beth Maclean and Vanessa Hice",

year = "2008",

doi = "10.1504/IJOGCT.2008.019844",

language = "English",

volume = "1",

pages = "229--249",

journal = "International Journal of Oil, Gas and Coal Technology",

issn = "1753-3309",

publisher = "Inderscience Enterprises Ltd",

number = "3",

}

TY - JOUR

T1 - Comparative study of compositional viscosity prediction models for medium-heavy oils

AU - Raut, Bipin

AU - Patil, Shirish L.

AU - Dandekar, Abhijit Y.

AU - Fisk, Robert

AU - Maclean, Beth

AU - Hice, Vanessa

PY - 2008

Y1 - 2008

N2 - This paper presents a comprehensive comparative study of composition-based Lohrenz-Bray-Clark (LBC) and principle of corresponding states (PCS) class viscosity prediction models for 11 different medium to heavy oils. The data sets span a wide range of pressures from 14.7 psia to 5000 psia; temperatures from 80 F to 180 F; and viscosities from 10 cP to 475 cP, typical of medium to heavy oils. The results show that all the LBC class models heavily underpredict the viscosities, whereas qualitatively PCS class models, in general, predict the viscosities in the range of the experimental values. However, none of the studied models were found to be truly predictive. [Received: June 2, 2007; Accepted: September 21, 2007]

AB - This paper presents a comprehensive comparative study of composition-based Lohrenz-Bray-Clark (LBC) and principle of corresponding states (PCS) class viscosity prediction models for 11 different medium to heavy oils. The data sets span a wide range of pressures from 14.7 psia to 5000 psia; temperatures from 80 F to 180 F; and viscosities from 10 cP to 475 cP, typical of medium to heavy oils. The results show that all the LBC class models heavily underpredict the viscosities, whereas qualitatively PCS class models, in general, predict the viscosities in the range of the experimental values. However, none of the studied models were found to be truly predictive. [Received: June 2, 2007; Accepted: September 21, 2007]

KW - EOR

KW - Enhanced Oil Recovery

KW - LBC method

KW - compositional prediction model

KW - corresponding states method

KW - medium heavy oils

KW - plus fraction characterisation

UR - https://www.scopus.com/pages/publications/77955040801

U2 - 10.1504/IJOGCT.2008.019844

DO - 10.1504/IJOGCT.2008.019844

M3 - Article

AN - SCOPUS:77955040801

SN - 1753-3309

VL - 1

SP - 229

EP - 249

JO - International Journal of Oil, Gas and Coal Technology

JF - International Journal of Oil, Gas and Coal Technology

IS - 3

ER -

Comparative study of compositional viscosity prediction models for medium-heavy oils

Abstract

Keywords

ASJC Scopus subject areas

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