K-Image - Permeability Characterization Integrating Matrix and Non-Matrix Pore Scales on Pre-Salt Reservoirs

C. M. D. Jesus, A. Compan, R. M. Araüjo, R. Surmas
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Abstract

Summary Several oil fields on the pre-salt have high heterogeneity in terms of pore types and scale, with the occurrence of non-matrix pore systems displaying important impact on productivity. Not surprisingly, discrepancies were verified between matrix permeability in 1D petrophysical models and the permeability scale estimated by DST measurements, which are generally understood as related to the presence of dissolution structures formed by karstification processes. Intending to represent the non-matrix permeability scale in our petrophysical models, Petrobras’s researchers began the development of techniques for permeability estimation, where it is possible to separate the matrix pore systems from the non-matrix and to assign different parameters to each distinct medium. This technique is known as K-image, where attributes extracted from image logs are combined with porosity logs in algorithms that calibrate the models, both with the matrix absolute permeability and DST estimated permeability, and then they are used in a permeability equation which has terms representing matrix with different flow capacities and a term that represents the extra-matrix pore systems. The application of this technique brought a significant gain in the ability to characterize permeability of non-matrix pore systems on pre-salt oil fields where the dynamic impact of these systems has been observed.
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盐下储层基质与非基质孔隙尺度的k -图像渗透率表征
盐下部分油田的孔隙类型和规模均具有较高的非均质性,非基质孔隙系统的存在对产能有重要影响。毫不奇怪,一维岩石物理模型中的基质渗透率与DST测量估计的渗透率尺度之间存在差异,这通常被理解为与岩溶作用过程形成的溶解结构的存在有关。为了在我们的岩石物理模型中表示非基质渗透率尺度,Petrobras的研究人员开始开发渗透率估计技术,可以将基质孔隙系统与非基质孔隙系统分开,并为每种不同的介质分配不同的参数。这种技术被称为K-image,将从图像测井中提取的属性与孔隙度测井相结合,并结合矩阵绝对渗透率和DST估计渗透率,然后将它们用于渗透率方程,该方程具有代表不同流动能力的矩阵和代表额外基质孔隙系统的项。该技术的应用大大提高了表征盐下油田非基质孔隙系统渗透率的能力,这些系统的动态影响已经被观察到。
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