Vaca Muerta:利用Archie方程和Pickett图进行水饱和度(Sw)建模,揭示天然裂缝和油湿页岩特征

Rahimah Abd Karim, R. Aguilera, C. Bernhardt, J. Bouhier
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引用次数: 0

摘要

由于Vaca Muerta复杂的矿物学和沉积环境,使用“基于电阻率”的方法在Vaca Muerta进行Sw建模被认为是具有挑战性的。因此,“无电阻”方法通常是优选的。在本研究中,采用Archie方程(1942)和Pickett图(1966、1973)的Sw模型,包括薄层非均质性。尽管复杂,但分析揭示了Vaca Muerta天然裂缝和油湿页岩特征的可变性。一些已发表的研究使用Archie的方程来模拟Vaca Muerta的Sw,但通常假设孔隙度指数m等于含水饱和度指数n。在本研究中,采用Archie的方程提出了一种新的方法,但这次m和n是由每个地层单元的Pickett图确定的。虽然这种方法很简单,但在研究地区还没有这样的应用。这项技术非常强大,因为它有助于将m和n的垂直变化与Vaca Muerta复杂的孔隙系统和润湿性特征联系起来。使用Archie’s方程和Pickett图的Sw分析显示了直井中每个地层单元中m和n值的垂直变化。根据岩屑描述、微电阻率图像和已发表的扫描电子显微镜(SEM)研究,随着深度的增加,天然裂缝强度和油的润湿性不断增加,证实了m值的减小和n值的增大。储层质量越深越好,尤以低Sw、高TOC、高孔隙度的LVM储层越好。富有机质单元具有较强的薄层非均质性,包括层理平行方解石充填微裂缝(牛肉状)、灰分层和方解石结核。这强调了将它们纳入岩石物理评价的重要性。薄层非均质性对电阻率测井的影响最为显著。尽管很复杂,但模拟的Sw与从蒸馏器和Dean Stark测量中确定的Sw很匹配。这表明,基于电阻率和孔隙度的技术,如Archie方程和Pickett图,适用于复杂的Vaca Muerta页岩。通过应用Archie’s方程和Pickett图的Sw建模分析,揭示了Vaca Muerta直井各地层单元天然裂缝和油湿页岩特征的可变性。尽管很复杂,但该分析还首次包括了薄层非均质性。这些挑战并不妨碍上述基于电阻率和孔隙度的技术的应用,这些技术已被证明是表征Vaca Muerta复杂页岩的有力工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vaca Muerta: Naturally Fractured and Oil-Wet Shale Characteristics Revealed by Water Saturation (Sw) Modeling Using Archie's Equation and Pickett Plot
Sw modeling in Vaca Muerta using ‘resistivity-based’ methods has been recognized as challenging due to the complex mineralogical and depositional settings of Vaca Muerta. Consequently, ‘resistivity-free’ methods are commonly preferable. In this study, Sw modeling using Archie's equation (1942) and Pickett plots (1966, 1973) have been used with the inclusion of thin bed heterogeneity. Despite the complexity, the analysis reveals the variability of both naturally fractured and oil-wet shale characteristics of Vaca Muerta. Several published studies have used Archie's equation to model Sw in Vaca Muerta, but often assumed that the porosity exponent, m is equal to the water saturation exponent, n. In this study, a new approach is presented using Archie's equation, but this time with the m and n being determined from Pickett plots for each stratigraphic unit. Although this method is simple, no such application has been published for the studied area. This technique is very powerful as it helps to relate the vertical variation of m and n to the complex pore system and wettability characteristics in Vaca Muerta. The Sw analysis using Archie's equation and Pickett plots shows vertical variability in m and n values in each stratigraphic unit of a vertical well. The decreasing m and increasing n values with depth are corroborated by the increasing natural fractures intensity and oil wettability towards the Lower Vaca Muerta (LVM), as indicated by the cuttings descriptions, micro-resistivity images and a published Scanning Electron Microscopy (SEM) study. Better reservoir quality lies in the deeper section, especially the LVM with lower Sw, higher Total Organic Carbon (TOC) and porosity. The organic rich unit also has a higher intensity of thin bed heterogeneity, which comprises bedding parallel calcite-filled microfractures (beef), ash beds and calcite nodules. This emphasizes the criticality of including them in petrophysical evaluation. The most pronounced effect of thin bed heterogeneity is on the resistivity log. Despite the complexity, the modelled Sw matches well the Sw determined from retort and Dean Stark measurements. This shows that resistivity and porosity-based techniques, such as Archie's equation and Pickett plots are applicable in the complex Vaca Muerta shale. Through analysis of Sw modeling using Archie's equation and Pickett plot, the variability of naturally fractured and oil-wet shale characteristics are revealed in each stratigraphic unit of a vertical well in Vaca Muerta. Despite its complexity, the analysis also includes, for the first time, thin bed heterogeneity. These challenges do not hinder the application of the above resistivity and porosity-based techniques which are proven to be powerful tools for characterizing the complex Vaca Muerta shale.
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