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

Ikechi Igwe; Jebraeel Gholinezhad; Mohamed Hassan

doi:10.1080/15567036.2019.1639856

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

Ikechi Igwe
, Jebraeel Gholinezhad^*
, Mohamed Hassan

^*Corresponding author for this work

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

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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.

Original language	English
Journal	Energy Sources, Part A: Recovery, Utilization and Environmental Effects
Early online date	8 Jul 2019
DOIs	https://doi.org/10.1080/15567036.2019.1639856
Publication status	Early online - 8 Jul 2019

Keywords

Compositional grading
equations of state
isothermal model
non-isothermal models
simulation

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10.1080/15567036.2019.1639856

Revised Manuscript
This is an Accepted Manuscript of an article published by Taylor & Francis in Energy Sources, Part A on 08/07/2019, available online: http://www.tandfonline.com/10.1080/15567036.2019.1639856.
Accepted author manuscript (Post-print), 443 KB

Cite this

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title = "The effect of equations of state on the performances of compositional grading models",

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{\textquoteright}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.",

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AU - Igwe, Ikechi

AU - Gholinezhad, Jebraeel

AU - Hassan, Mohamed

PY - 2019/7/8

Y1 - 2019/7/8

N2 - 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.

AB - 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.

KW - Compositional grading

KW - equations of state

KW - isothermal model

KW - non-isothermal models

KW - simulation

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JO - Energy Sources, Part A: Recovery, Utilization and Environmental Effects

JF - Energy Sources, Part A: Recovery, Utilization and Environmental Effects

ER -

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

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Keywords

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