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Pore network quantification of sandstones under experimental CO_2 injection using image analysis

机译：利用图像分析法对实验CO_2注入下砂岩的孔隙网络定量

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Automated-image identification and quantification of minerals, pores and textures together with pet-rographic analysis can be applied to improve pore system characterization in sedimentary rocks. Our case study is focused on the application of these techniques to study the evolution of rock pore network subjected to super critical CO_2-injection. We have proposed a Digital Image Analysis (DIA) protocol that guarantees measurement reproducibility and reliability. This can be summarized in the following stages: (ⅰ) detailed description of mineralogy and texture (before and after CO_2-injection) by optical and scanning electron microscopy (SEM) techniques using thin sections; (ⅱ) adjustment and calibration of DIA tools; (ⅲ) data acquisition protocol based on image capture with different polarization conditions (synchronized movement of polarizers); (ⅳ) study and quantification by DIA that allow (a) identification and isolation of pixels that belong to the same category: minerals vs. pores in each sample and (b) measurement of changes in pore network, after the samples have been exposed to new conditions (in our case: SC-CO_2-injection). Finally, interpretation of the petrography and the measured data by an automated approach were done. In our applied study, the DIA results highlight the changes observed by SEM and microscopic techniques, which consisted in a porosity increase when CO_2 treatment occurs. Other additional changes were minor: variations in the roughness and roundness of pore edges, and pore aspect ratio, shown in the bigger pore population. Additionally, statistic tests of pore parameters measured were applied to verify that the differences observed between samples before and after CO_2-injection were significant.
机译：可以对矿物质，孔隙和质地进行自动图像识别和定量以及岩相分析，以改善沉积岩中孔隙系统的特征。我们的案例研究集中在这些技术的应用上，以研究超临界CO_2注入作用下岩石孔隙网络的演化。我们提出了一种数字图像分析（DIA）协议，该协议可确保测量的可重复性和可靠性。这可以归纳为以下几个阶段：（ⅰ）使用薄切片的光学和扫描电子显微镜（SEM）技术详细描述矿物学和织构（注入CO_2之前和之后）； （ⅱ）DIA工具的调整和校准； （ⅲ）基于具有不同偏振条件（偏振器的同步运动）的图像捕获的数据采集协议； （ⅳ）通过DIA进行研究和量化，从而允许（a）识别和隔离属于同一类别的像素：每个样品中的矿物质与孔隙的关系，以及（b）在样品暴露于水中后测量孔隙网络的变化新条件（在本例中为：SC-CO_2注入）。最后，通过自动化方法对岩相学和测量数据进行了解释。在我们的应用研究中，DIA结果突出显示了通过SEM和显微技术观察到的变化，其中包括发生CO_2处理时孔隙率增加。其他附加变化很小：孔边缘的粗糙度和圆度以及孔纵横比的变化，显示在较大的孔总数中。另外，对所测量的孔隙参数进行统计学检验，以验证在注入CO_2前后样品之间观察到的差异是显着的。

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