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Application of complementary methods for more robust characterization of sandstone cores

机译:互补方法在砂岩岩心表征中的应用

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This paper is based on detailed mineralogical, structural, petrophysical, and geochemical studies of sandstone core samples, using routine core analysis methods. These include X-ray computer tomography (CT) scanning, magnetic resonance imaging (MRI), particle size analysis, point counting based on petrographic thin sections, environmental scanning microscopy (ESEM), X-ray diffraction (XRD), and X-ray fluorescence (XRF). In this study, we demonstrate the feasibility of combing these complementary methods in the characterization of reservoir properties of sandstone cores. Four types of sandstones (Slick Rock Aeolian, Fife, Locharbriggs, and Berea sandstones) that differ in grain size, porosity, and mineralogy have been characterized. The results of the different methods used were found to be consistent with each other, but the combination of a variety of methods has allowed a fuller characterization of the rock samples than each method used on its own, bringing out subtle variations in petrographic characteristics that add significant value towards a better description of reservoir properties. For example, it becomes apparent that some types of rocks like Berea sandstones thought to be homogeneous are in fact heterogeneous. The recognition that rock heterogeneity at the sub-centimeter scale may have a significant effect on hydrocarbon recovery requires that field-scale reservoir models take account of these small-scale effects in order to lay claim to reasonable accuracy in production forecasts.
机译:本文基于常规岩心分析方法,对砂岩岩心样品进行了详细的矿物学,结构,岩石物理和地球化学研究。这些包括X射线计算机断层扫描(CT)扫描,磁共振成像(MRI),粒度分析,基于岩石薄片的点计数,环境扫描显微镜(ESEM),X射线衍射(XRD)和X射线荧光(XRF)。在这项研究中,我们证明了在砂岩岩心储层特征描述中组合这些互补方法的可行性。表征了四种类型的砂岩(光滑的风成岩,Fife,Locharbriggs和Berea砂岩),它们的粒度,孔隙率和矿物学特征不同。发现所使用的不同方法的结果彼此一致,但是与单独使用的每种方法相比,多种方法的组合可以对岩石样品进行更全面的表征,从而带来岩石学特征的细微变化,从而增加了对更好地描述储层特性具有重要价值。例如,很明显,某些类型的岩石(例如被认为是均质的Berea砂岩)实际上是异质的。要认识到亚厘米级岩石的非均质性可能对油气采收率有重大影响,需要在油田规模的油藏模型中考虑到这些小规模的影响,以便在生产预测中主张合理的准确性。

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