The University of Southampton
University of Southampton Institutional Repository

The effect of equations of state on the performances of compositional grading models

The effect of equations of state on the performances of compositional grading models
The effect of equations of state on the performances of compositional grading models
The effect of equations of state on the performance of compositional grading models to accurately predict compositional variation with depth in petroleum reservoir has been presented. Compositional grading models considered are isothermal model, zero thermal diffusion model, Haase’s thermal diffusion model, and Kempers thermal diffusion model. The performances of these models were simulated based on tuned equations of state. The simulation results were validated with experimental data and the associated error computed as percentage average absolute deviation. The results suggest that selection of suitable equations of state has a significant influence on the performances of the applied compositional grading models.
1556-7036
Igwe, Ikechi
be9f2d4a-c741-4aa0-96e3-d653bb2fbd25
Gholinezhad, Jebraeel
79d96efe-2057-4b95-8be1-4d83162c937a
Hassan, Mohamed G.
ce323212-f178-4d72-85cf-23cd30605cd8
Igwe, Ikechi
be9f2d4a-c741-4aa0-96e3-d653bb2fbd25
Gholinezhad, Jebraeel
79d96efe-2057-4b95-8be1-4d83162c937a
Hassan, Mohamed G.
ce323212-f178-4d72-85cf-23cd30605cd8

Igwe, Ikechi, Gholinezhad, Jebraeel and Hassan, Mohamed G. (2019) The effect of equations of state on the performances of compositional grading models. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. (doi:10.1080/15567036.2019.1639856).

Record type: Article

Abstract

The effect of equations of state on the performance of compositional grading models to accurately predict compositional variation with depth in petroleum reservoir has been presented. Compositional grading models considered are isothermal model, zero thermal diffusion model, Haase’s thermal diffusion model, and Kempers thermal diffusion model. The performances of these models were simulated based on tuned equations of state. The simulation results were validated with experimental data and the associated error computed as percentage average absolute deviation. The results suggest that selection of suitable equations of state has a significant influence on the performances of the applied compositional grading models.

Full text not available from this repository.

More information

Accepted/In Press date: 23 June 2019
e-pub ahead of print date: 8 July 2019
Published date: 2019

Identifiers

Local EPrints ID: 438282
URI: http://eprints.soton.ac.uk/id/eprint/438282
ISSN: 1556-7036
PURE UUID: 95d9dc98-72d1-4911-9471-da0b3c237eb1
ORCID for Mohamed G. Hassan: ORCID iD orcid.org/0000-0003-3729-4543

Catalogue record

Date deposited: 04 Mar 2020 17:32
Last modified: 07 Oct 2020 02:27

Export record

Altmetrics

Contributors

Author: Ikechi Igwe
Author: Jebraeel Gholinezhad
Author: Mohamed G. Hassan ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×