基于图像分解的微电阻率成像测井图像修复方法

Image Restoration Method for Micro-resistivity Imaging Logging Based on Image Decomposition

由于多种因素的影响,微电阻率成像测井仪器无法实现井身的全覆盖成像,导致图像上出现了间隔性的宽尺度空白带,造成部分信息缺失。为使图像能真实反映地质信息,针对测井图像的特点,提出了基于反距离加权插值法与Criminisi算法的图像分解的修复方法。利用该方法对测井图像进行修复试验,将其与反距离加权插值法、Criminisi算法进行对比分析,并对修复图像进行了定量评价。结果表明,基于图像分解的修复方法能有效修复图像结构、纹理特征,图像视觉效果较好,有效扩充了测井图像的信息,具有一定的地质应用价值。

Due to the influence of several factors,the micro-resistivity imaging logging tool could not realize the full-coverage imaging of the well bore,which resulted in a wide-scale blank interval on the image and caused the loss of some information.In order to make the image truly reflect the geological information,in view of the characteristics of the logging images,the restoration method of image decomposition based on inverse distance weighted interpolation and Criminisi algorithm was proposed.The method was used to repair the well logging image and compared with inverse distance weighted interpolation and Criminisi algorithm,and the restoration images were evaluated quantitatively.The results show that the method based on image decomposition can effectively restore the image structural and textural features,and the visual effect of restored image is better.This method effectively expands the information of the logging image,and has certain geological application value.