Article Fingerprint
ReserarchID
SFRW970N
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.
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).
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 134
Country: Australia
Subject: Global Journal of Science Frontier Research - A: Physics & Space Science
Authors: Sherif Elkahky, Christopher Lagat, Mohammad Sarmadivaleh, Ahmed Barifcani (PhD/Dr. count: 0)
View Count (all-time): 144
Total Views (Real + Logic): 2703
Total Downloads (simulated): 1294
Publish Date: 2019 06, Sat
Monthly Totals (Real + Logic):
This study aims to comprehensively analyse the complex interplay between
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.