方位成像测井数据动态色度标定窗口边缘台阶的处理方法

Methods to Reduce Fault at Window Boundary of Dynamic Chromaticity Calibration for Azimuth Imaging Logging Data

动态色度标定是一种用于方位成像测井数据局部化色度标定的方法,处理后的图像局部特征将会更加明显,有利于方位图像的局部变化特征的精细识别。然而传统的动态色度标定方法在处理时,窗口边界会产生明显的台阶,影响地质信息的精确解释。为此,基于动态色度标定在窗口边缘产生台阶的机理提出了2种动态色度标定的改进新方法:渐变过渡法、限制步长法。第1种方法对窗口重叠部分的色度乘以不同权值消除台阶现象,第2种方法通过调整滑动窗口步长抑制台阶现象。处理结果显示,提出的方法有效地消除了这种台阶现象,提高了方位成像测井数据的解释精度。

Dynamic chromaticity calibration is a local chromaticity calibration method for azimuth imaging logging data.The local features of processed images will be more obvious,which is beneficial to the fine identification of local variation features of azimuth images.However,when using the traditional dynamic chromaticity calibration method,an obvious step phenomenon will be produced at the edge of windows,which will reduce the interpretation accuracy of geological information.Two improved methods for dynamic chromaticity calibration are proposed based on the mechanism of creating steps at the edge of windows:gradual transition method and limited step method.The first method eliminates step phenomenon by multiplying the chromaticity of the overlapping part of the window by different weights to,and the second method suppresses the step phenomenon by adjusting the step size of the sliding windows.The processing results show that the proposed methods can effectively eliminate the step phenomenon and improve the interpretation accuracy of azimuth imaging logging data.