Improved Amott Cell Procedure for Predictive Modeling of Oil Recovery Dynamics from Mixed-Wet Carbonates

K. Kaprielova, M. Yutkin, Ahmed Gmira, S. Ayirala, C. Radke, T. Patzek
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Abstract

Spontaneous counter-current imbibition in Amott cell experiments is a convenient laboratory method of studying oil recovery from oil-saturated rock samples in secondary or tertiary oil recovery by waterflood of adjustable composition. Classical Amott cell experiment estimates ultimate oil recovery. It is not designed, however, for studying the dynamics of oil recovery. In this work we identify a flaw in the classical Amott cell imbibition experiments that hinders the development of predictive recovery models for mixed-wet carbonates. We revise the standard Amott procedure in order to produce smoother experimental production curves, which then can be described by a mathematical model more accurately. We apply Generalized Extreme Value distribution to model the cumulative oil production. We start with the Amott imbibition experiments and scaling analysis for Indiana limestone core plugs saturated with mineral oil. The knowledge gained from this study will allow us to develop a predictive model of water-oil displacement for reservoir carbonate rock and crude oil recovery systems.
混合湿碳酸盐岩采油动态预测建模的改进Amott单元法
Amott细胞自发逆流渗吸实验是研究二、三次可调成分注水采油中含油岩石样品采收率的一种简便的实验室方法。经典的Amott细胞实验估计了最终的原油采收率。然而,它不是为研究石油采收率动力学而设计的。在这项工作中,我们发现了经典Amott细胞渗吸实验中的一个缺陷,该缺陷阻碍了混合湿碳酸盐预测采收率模型的发展。我们修改了标准的Amott程序,以得到更平滑的实验生产曲线,从而可以更准确地用数学模型描述。采用广义极值分布对累积产油量进行建模。我们首先对饱和矿物油的印第安纳石灰石岩心桥塞进行Amott渗吸实验和结垢分析。从这项研究中获得的知识将使我们能够开发储层碳酸盐岩和原油采收率系统的水驱油预测模型。
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