巴西Santos盆地Barra Velha组矿物学模拟与岩石物理性质

M. Jácomo, G. Hartmann, T. B. Rebelo, N. H. Mattos, A. Batezelli, E. Leite
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引用次数: 0

摘要

巴西近海的Santos盆地拥有南美洲最重要的碳酸盐岩储层。Barra Velha组盐下碳酸盐岩储层矿物学分布复杂,物性不均匀,为建立可靠的矿物学模型带来了挑战。除了校正地震相外,了解岩石矿物学对石油勘探和多孔介质研究也很重要。本文提出了一种矿物学反演方法,应用多分量反演对盐下油田BVF内的储层和非储层进行建模。BVF最上面的15至28米,被称为“卢拉指”,与更深的层段相比,伽马射线值更高,其特征是高模拟白云岩含量。在卢拉指区以下,上BVF可分为BVF100(上),其特征是伽马射线值较低,仅高于BVF200(下)。它们主要由灌木和富含球晶岩的原位相形成,粘土和镁质粘土含量较少,常被白云岩和石英所取代。上BVF底部(BVF200)为富镁粘土微孔段,主要分布在构造侧翼区域,或贫镁粘土大孔段,主要分布在高位。该模型与地层层段拟合较好,可以更好地理解BVF100和BVF200整个区域的矿物学分布,特别是构造高点和侧翼区域的侧向矿物学变异性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mineralogical Modeling and Petrophysical Properties of the Barra Velha Formation, Santos Basin, Brazil
The Santos Basin, offshore Brazil, has the most significant petroleum carbonate reservoir province in South America. The presalt carbonates reservoirs of the Barra Velha Formation (BVF) present a complex mineralogic distribution and heterogeneous physical properties, making it challenging to construct a reliable mineralogical model. Understanding rock mineralogy is important to petroleum prospects and the study of porous media, besides calibrating seismic facies. In this paper, we present a mineralogical inversion procedure to model reservoir and nonreservoir intervals within the BVF in a presalt field applying multicomponent inversion. The uppermost 15 to 28 m of the BVF, known as “Lula Fingers,” present higher values of gamma ray when compared with deeper intervals and are characterized by high modeled dolomite contents. Below the Lula Fingers region, the Upper BVF can be divided into BVF100 (top), which is characterized by low gamma ray values just above the BVF200 (bottom). They are formed mainly by shrub and spherulite-rich in-situ facies with fewer clay and Mg-clays contents, which are often replaced by dolomite and quartz. The bottom part of Upper BVF (BVF200) presents a microporous Mg-clay-rich interval, mainly in the structural flanks region, or a macroporous Mg-clay-poor interval, mainly in high levels. The present model fits well with the stratigraphic interval and allows a better understanding of the mineralogical distribution over the entire BVF100 and BVF200, particularly the lateral mineralogical variability in regions with structural highs and flanks.
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