Textural classification of pre-salt carbonate rocks from the Santos Basin and analysis of the permoporous system: an approach based on the interpretation of X-ray computed tomography images

Ana Carolina Carius Lisboa Barboza, Luiz Landau
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Abstract

Pre-salt lacustrine carbonates remain in evidence for being rocks of high complexity and responsible for the great economic potential of the Santos Basin. Aiming to contribute to studies in this field, the objective of this research was to define the key textures of the carbonate rocks in X-ray computed tomography (CT) images. For the execution of this study, core samples from two wells were used, and the adopted methodology comprises detailed geological description, characterization of the permoporous system, definition of the main textures in CT images, and analysis of the relationship between textures and their permoporous systems. The description of the main properties enabled the definition of six lithofacies and, through the analysis of CT images, a recurring pattern of certain textural attributes in specific lithofacies was identified. Thus, a representative proposal with four textural classes was established: laminated, shrubby, clastiform fragmented, and recrystallized. A direct relationship was observed between certain textures and the progression of diagenetic processes, as well as their corresponding permoporous systems. Finally, the proposed textural classification of CT images applied to Brazilian pre-salt lacustrine carbonate rocks demonstrates effectiveness in standard segmentation performed by expert technicians, enabling rapid identification of reservoir intervals of interest. For future work, it is recommended to employ this classification as an input base for training algorithms using machine learning techniques. 
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桑托斯盆地盐前碳酸盐岩的纹理分类和过孔系统分析:基于 X 射线计算机断层扫描图像解读的方法
盐前湖相碳酸盐岩是桑托斯盆地具有巨大经济潜力的高复杂性岩石的证据。为了促进该领域的研究,本研究的目的是确定 X 射线计算机断层扫描(CT)图像中碳酸盐岩的主要纹理。这项研究使用了两口井的岩心样本,采用的方法包括详细的地质描述、围孔系统特征描述、CT 图像中主要纹理的定义以及纹理与其围孔系统之间关系的分析。通过对主要性质的描述,确定了六个岩相,并通过对 CT 图像的分析,确定了特定岩相中某些纹理属性的重复模式。因此,有代表性地提出了四个纹理类别:层状、灌木状、碎屑状和重结晶状。研究发现,某些纹理与成岩过程的进展及其相应的孔隙系统之间存在直接关系。最后,提议的 CT 图像纹理分类适用于巴西盐前湖相碳酸盐岩,在专家技术人员进行标准分割时显示出其有效性,能够快速识别感兴趣的储层区间。在今后的工作中,建议将这种分类作为使用机器学习技术训练算法的输入基础。
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