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Modelling the effect of wettability distributions on oil recovery from microporous carbonate reservoirs

机译:模拟润湿性分布对微孔碳酸盐岩油藏采收率的影响

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摘要

Carbonate-hosted hydrocarbon reservoirs are often weakly- to moderately oil-wet. Such wettability states are reached after oil migration through a series of chemical processes which are only understood in outline even though wettability is fundamental to prediction of multi-phase flow behaviour. Modelling the pore-scale wettability features of carbonates using pore-network models is challenging due to both our inability to incorporate appropriate chemical characteristics to the pore surfaces as well as the over-simplification of pore shapes which are known to be highly complex, particularly where micropores are an important part of the pore network. Indeed, the role of micropores on fluid flow has often been neglected, as has their wettability state, since they are usually assumed to be water-wet. Here, we implement a qualitatively plausible wettability alteration scenario in a developed two-phase flow network model that captures a great diversity of complex pore shapes. This developed model qualitatively reproduces patterns of wettability alteration recently observed in microporous carbonates via high-resolution imaging. In order to assess the combined importance of both pore space structure and wettability distribution on petrophysical properties, we consider two dissimilar pore networks: a homogeneous Berea sandstone network and a heterogeneous and multiscale carbonate network whose disconnected macropores are connected through a sub-network of micropores. Results demonstrate that wettability effects are significantly more profound in the carbonate network model, as the wettability state of the micropores controls the oil recovery efficiency.
机译:碳酸盐岩类油气藏通常是弱至中度油湿的。在油迁移后,通过一系列化学过程可以达到这样的润湿状态,尽管润湿性对于预测多相流动行为至关重要,但这些化学过程仅是概述。由于我们无法将适当的化学特征结合到孔表面,而且过分简化了已知非常复杂的孔形状,因此使用孔网络模型对碳酸盐的孔尺度润湿性特征进行建模具有挑战性。微孔是孔网络的重要组成部分。实际上,由于通常认为微孔是水润湿的,因此微孔对流体流动的作用以及其可湿性状态常常被忽略。在这里,我们在已开发的两相流网络模型中实现了定性合理的可湿性改变方案,该模型捕获了大量复杂形状的孔。这种发达的模型定性地再现了最近通过高分辨率成像在微孔碳酸盐中观察到的润湿性变化的模式。为了评估孔隙空间结构和润湿性分布对岩石物性的综合重要性,我们考虑了两个不同的孔隙网络:均质的Berea砂岩网络和非均质的多尺度碳酸盐网络,其不连续的大孔通过微孔子网络连接。结果表明,在碳酸盐网络模型中,由于微孔的润湿状态控制着油的采收率,因此润湿作用明显更为深远。

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