高清晰岩石结构图像处理方法及其在碳酸盐岩储层评价中的应用

High-resolution rock structure image processing method and its applications in carbonate reservoir evaluation

电阻率成像测井已经成为解决非均质复杂碎屑岩储层、缝洞型碳酸盐岩储层、火山岩储层问题不可或缺的关键手段之一,而且正在逐渐从高端测井技术走进常规系列。目前主流的成像处理方法中,普遍采用了基于像素分布特征统计的图像增强方法。该方法相对于最初的线性图像增强方法,效果明显改善,然而在处理中未能考虑岩石结构特征的分布规律,经常导致重要的地质特征被湮没在次要特征和噪声中。笔者在传统图像增强方法的基础上,进一步以结构信息为核心要素,提出了基于岩石结构的图像增强方法。该方法以岩石结构特征判别为基础,有针对性地提高图像中关键信息的权重,弱化背景和噪声,并针对结构特征分布规律进行成像色标动态优化,从而显著提高了图像的有效信息量和清晰度,为进一步的精细解释工作提供了先决条件。

The resistivity imaging logging is known as one of the indispensable means for solving problems of heterogeneous complex clastic reservoirs fractured-vuggy carbonate reservoirs, and volcanic reservoirs. The previous high-end logging technology is gradually considered to be a routine method. At present, the mainstream image processing approaches commonly employ the image enhance ment methods based on the pixel distribution characteristics. Despite substantial improvement compared to the original linear image enhancement method, the distribution-based image enhancement methods do not take into account the distributions of rock structural features, commonly leading to the submergence of major geological features in minor features and noises. On the basis of conventional image enhancement methods, this study focused on rock structure information and proposed a new rock structure-based image enhancement method. Based on the identification of rock structural features, the proposed method was shown to increase the weight of targeted key information in the images, weaken the background and noises, and optimize the dynamic imaging color according to the distributions of rock structural features. These would significantly increase the effective information and improve the image resolu- tion, providing a prerequisite for further precise interpretation.