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Study on Extraction Methods for Different Components in a Carbonate Digital Core
Mathematical Problems in Engineering Pub Date : 2020-09-07 , DOI: 10.1155/2020/8972494
Xiaoling Xiao 1 , Jiarui Zhang 2 , Xinyu Li 3 , Jing Zhang 3 , Xiang Zhang 4
Affiliation  

It is difficult to carry out petrophysical experiments because of the serious damage caused to cores in the development of fractures and pores in carbonate reservoirs. The development of a three-dimensional digital core in carbonate reservoirs has become a hot topic in rock physics research. Compared with the three-dimensional digital core, including basic rock skeletons and pores in sandstone reservoirs, carbonate reservoirs also include secondary structures such as microfractures. The carbonate contains different components, and extracting these components is a very difficult problem. The resolution on the electrical image log image is high, which can clearly reflect the macrocomponents in various reservoirs. There are some blank areas between electrodes on the electrical image log, which affects the extraction of components in a three-dimensional digital core. Aiming at the serious heterogeneities in the carbonate reservoirs and affecting image inpainting on the electrical image log image, a new method of image inpainting based on a combination of multipoint geostatistics and an interpolation method is put forward. The experimental results show that this method generates faster and better full-bore images than other methods. Due to the multipeak histogram, the maximum interclass variance in the two times method is proposed to extract macrocomponents such as basic rock skeletons, pores, and connected parts. The microfractures can be extracted from the CT scanned images by using image segmentation from the combination of the watershed and OTSU methods. The experimental results prove that using extraction methods for different components enables better results to be obtained.

中文翻译:

碳酸盐数字岩心中不同成分的提取方法研究

由于碳酸盐岩储层裂缝和孔隙的发育对岩心造成了严重破坏,因此很难进行岩石物理实验。碳酸盐岩储层三维数字岩心的开发已成为岩石物理研究的热点。与三维数字岩心(包括基本岩石骨架和砂岩储层中的孔隙)相比,碳酸盐岩储层还包含诸如微裂缝等二级结构。碳酸盐包含不同的成分,而提取这些成分是一个非常困难的问题。电图像测井图像上的分辨率很高,可以清晰地反映各种储层中的宏观成分。电图像记录仪上的电极之间有一些空白区域,这会影响三维数字核心中组件的提取。针对碳酸盐岩储层严重非均质性,影响电图像测井图像修复的问题,提出了一种基于多点地统计学和插值法相结合的图像修复新方法。实验结果表明,与其他方法相比,该方法可生成更快,更好的全口径图像。由于存在多峰直方图,因此提出了两次方法中的最大类间方差,以提取宏观成分,例如基本岩石骨架,孔隙和相连部分。通过使用分水岭和OTSU方法相结合的图像分割,可以从CT扫描图像中提取微裂缝。
更新日期:2020-09-08
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