Prediction of Asphaltenes Deposition in Multiphase Flow Systems through the use of Novel Numerical Modelling

Sherif Elkahky
Sherif Elkahky
Christopher Lagat
Christopher Lagat
Mohammad Sarmadivaleh
Mohammad Sarmadivaleh
Ahmed Barifcani
Ahmed Barifcani
Curtin University Curtin University

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Prediction of Asphaltenes Deposition in Multiphase Flow Systems through the use of Novel Numerical Modelling

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Abstract

One of the well-known problems encountered in oil flow lines, oil reservoirs and completion strings, causing flow assurance issues, is the deposition of asphaltenes in these areas. The complications aroused due to asphaltenes deposition include, but are not limited to, permeability reduction, wettability reversal, pipeline and well plugging, increased pressure drop and an overall reduction in oil production. The problem is not only severe, but it occurs so abruptly that it can damage the formation in a few days if it proceeds unnoticed. The asphaltenes deposition for a given oil is measured by the use of high-tech and expensive apparatuses, particularly where multiphase flow occurs, which incurs additional costs. Multiphase flow combined with asphaltenes precipitation worsens the situation in well bores and affects the flow of crude oil. This paper presents a numerical modeling approach for prediction of asphaltenes deposition and precipitation in crude oil in multiphase flow by the use of governing equations calculated using finite difference discretization methods.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sherif Elkahky. 2019. \u201cPrediction of Asphaltenes Deposition in Multiphase Flow Systems through the use of Novel Numerical Modelling\u201d. Global Journal of Science Frontier Research - A: Physics & Space Science GJSFR-A Volume 19 (GJSFR Volume 19 Issue A4).

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-A Classification FOR Code: 020299
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v1.2

Issue date
June 22, 2019

Language
en
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Prediction of Asphaltenes Deposition in Multiphase Flow Systems through the use of Novel Numerical Modelling

Sherif Elkahky
Sherif Elkahky <p>Curtin University</p>
Christopher Lagat
Christopher Lagat
Mohammad Sarmadivaleh
Mohammad Sarmadivaleh
Ahmed Barifcani
Ahmed Barifcani

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