Asphaltene Precipitation Investigation Using a Screening Techniques for Crude Oil Sample from the Nahr-Umr Formation/Halfaya Oil Field

Moammed A. Ahmed, Ghassan H. Abdul-Majeed, Ali K. Alhuraishawy
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Abstract

Many oil and gas processes, including oil recovery, oil transportation, and petroleum processing, are negatively impacted by the precipitation and deposition of asphaltene. Screening methods for determining the stability of asphaltenes in crude oil have been developed due to the high cost of remediating asphaltene deposition in crude oil production and processing. The colloidal instability index, the Asphaltene-resin ratio, the De Boer plot, and the modified colloidal instability index were used to predict the stability of asphaltene in crude oil in this study. The screening approaches were investigated in detail, as done for the experimental results obtained from them. The factors regulating the asphaltene precipitation are different from one well to another, from the high-pressure-temperature reservoir to surface conditions. All these factors must be investigated on a case-by-case basis. Because the Halfaya oil field is still developing its petroleum sector, modelling, and forecasting the phase behavior and asphaltene precipitation is crucial. This work used crude oil bottom hole samples with an API of equal to 27 from a well in the Halfaya oil field/Nahr-Umr formation to create a thermodynamic model using Multiflash software. The data included the compositional analysis, the PVT data, and reservoir conditions. The thermodynamic model of asphaltene phase behavior was proposed using the Cubic-Plus association equation of state. All the screening techniques' results revealed the presence of an asphaltene precipitation issue (asphaltene unstable), which was confirmed by a thermodynamic fluid model. The aim of this paper is to predict the problem of asphaltene precipitation so that future proactive remedial methods can be developed to decrease the time and expense associated with it.
Nahr-Umr组/Halfaya油田原油样品沥青质沉淀筛选技术研究
许多石油和天然气工艺,包括石油开采、石油运输和石油加工,都受到沥青质沉淀和沉积的负面影响。由于修复原油生产和加工中沥青质沉积的成本很高,因此开发了测定原油中沥青质稳定性的筛选方法。本研究采用胶体不稳定性指数、沥青质树脂比、De Boer图和改进的胶体不稳定性指标来预测原油中沥青质的稳定性。对筛选方法进行了详细的研究,并对从中获得的实验结果进行了研究。从高压温度油藏到地表条件,调节沥青质沉淀的因素因井而异。所有这些因素都必须根据具体情况进行调查。由于哈尔法亚油田仍在开发其石油部门,因此对相行为和沥青质沉淀进行建模和预测至关重要。这项工作使用了Halfaya油田/Nahr-Umr地层一口井的API等于27的原油井底样品,使用Multiflash软件创建了一个热力学模型。这些数据包括成分分析、PVT数据和储层条件。利用立方Plus缔合状态方程建立了沥青质相行为的热力学模型。所有筛选技术的结果都揭示了沥青质沉淀问题(沥青质不稳定)的存在,这已通过热力学流体模型得到证实。本文的目的是预测沥青质沉淀的问题,以便开发未来的主动补救方法,以减少与之相关的时间和费用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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