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Three-Dimensional Visualization and Characterization of Cracks in Geothermal Reservoir Rock Using Image Analysis of Reconstructed μCT Images: A Preliminary Study

机译:重建μCT图像图像分析的地热储层岩石裂缝的三维可视化与表征:初步研究

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In most geothermal reservoirs, cracks are considered very important because of the ability to transport water vapor. In most cases, characterizations of cracks are often difficult to be performed. However, through the vast development of imaging technique, many researches have been conducted in order to obtain better understanding regarding the nature of cracks. Using micro-CT (μCT) scanning devices, i.e., the Skyscan 1173, we were able to obtain 3D images of geothermal reservoir rock from West Java. The rock sample was scanned using X-ray voltage of 130 kV and current of 61 μA. The reconstructed images have spatial resolution of 59.85 μm/pixel. Using CTVox and ImageViewer, we were able to visualize the cracks both in 2D and 3D perspective. We further performed image processing and analysis, i.e.: simple segmentation of pore-solid by thresholding the gray values and binarizing the images, de-noising (despeckling), and 3D structure analysis. From these analyses, we obtain the value of porosity of 6.27%, and from further analysis, we separate the crack from the granular pore. The fraction of the cracks is 2.35% from the total volume of the sample. This preliminary study however, still contains some errors. By visualizing the produced image from the isolation, we can still observed the existence of isolated granular pores. Nonetheless, this study has confirmed that using image processing and image analysis approach of reconstructed μCT images, we were able to isolate cracks from granular pores, and also calculate the volume fraction of the cracks.
机译:在大多数地热储层中,由于运输水蒸气的能力,裂缝被认为非常重要。在大多数情况下,通常难以进行裂缝的特征。然而,通过显着的成像技术的发展,已经进行了许多研究,以便对裂缝性质获得更好的理解。使用Micro-CT(μCT)扫描装置,即Skyscan 1173,我们能够从西爪哇省获得地热水库岩石的3D图像。使用130kV的X射线电压和61μA电流扫描岩石样品。重建的图像具有59.85μm/像素的空间分辨率。使用CTVOX和ImageViewer,我们能够在2D和3D透视图中可视化裂缝。我们进一步执行了图像处理和分析,即孔隙固体的简单分割,通过阈值阈值和二值化图像,取消通知(检测)和3D结构分析。从这些分析中,我们获得了孔隙率的值为6.27%,从进一步分析中,我们将裂缝与粒状孔分开。裂缝的级分是样品总体积的2.35%。然而,这项初步研究仍然包含一些错误。通过从隔离中可视化产生的图像,我们仍然可以观察到分离的粒状孔的存在。尽管如此,本研究证实,使用重建μCT图像的图像处理和图像分析方法,我们能够与粒状孔隔离裂缝,并计算裂缝的体积分数。

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