Algorithm to Compute the Minimum Miscibility Pressure (MMP) for Gases in Gas Flooding Process

Elohor Diamond Akpobi, Efeosa Praise Oboh
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Abstract

Enhanced oil recovery (EOR) is important to the petroleum industry mostly because it is used to improve oil recovery. Miscible gas flooding, a type of EOR process that is proven and economically viable can significantly increase oil recovery from reservoirs. In this study, the minimum miscibility pressure (MMP) in gas floods for different gases were computed using empirical correlations (Glaso correlation for hydrocarbon gas injection, Emera, Yuan et al and Glaso correlation for pure carbon dioxide gas injection, Sebastin and Yuan correlation for impure carbon dioxide correlations and Glaso, Firoozabadi and Aziz correlations for nitrogen gas injection). An efficient computer program was developed using visual basic programing language. Employing its highly versatile features, friendly graphical user interface (GUI) forms were designed and robust codes were developed. Validation was done for the program and results showed that the software which was developed had acceptable level of accuracy, was fast and effective. The study provides a new and cost effective way of checking for MMP which will enhance the process of screening gas flooding processes for the reservoir.
气驱过程中气体最小混相压力的计算算法
提高石油采收率(EOR)对石油工业来说非常重要,主要是因为它用于提高石油采收率。混相气驱是一种经过验证且经济可行的EOR方法,可以显著提高油藏的采收率。在本研究中,利用经验关联(注烃类气体的Glaso关联,注纯二氧化碳的Emera、Yuan等和Glaso关联,注不纯二氧化碳的Sebastin和Yuan关联,注氮气的Glaso、Firoozabadi和Aziz关联)计算了不同气体在气驱中的最小混相压力(MMP)。利用visual basic编程语言编写了一个高效的计算机程序。利用其高度通用的特性,设计了友好的图形用户界面(GUI)表单并开发了健壮的代码。对程序进行了验证,结果表明所开发的软件具有可接受的精度水平,快速有效。该研究为MMP检测提供了一种新的、经济有效的方法,有助于提高储层气驱过程的筛选。
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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