一种地震属性图像配色阈值选取算法

Matching Threshold Selection Method for Seismic Attribute Image

针对传统的地震属性图像可视化过程中存在的缺点,论文提出一种基于直方图技术的地震属性图像配色阈值选取算法,该算法利用直方图统计的结果,首先进行阈值预选,然后在区间内进行阈值调整,最后根据所确定的阈值对地震属性图像进行重新配色,很好地解决了传统地震属性图像视觉上的杂乱以及区域性差的缺点。经过对大庆油田多个区块地震属性图像的分析,该算法可有效解决地震图像可视化中的不足,提高了地震解释工作的效率。

Aiming at faults existed in the traditional seismic attribute image visualization process,this paper presents a seismic attribute image color-matching threshold selection algorithm,which is based on histogram technology.First,according to the statistical result by histogram,the pre-thresholds is chosen.Second,modify the pre-thresholds in their own subsections.Last,repaint the seismic attribute image according pre-thresholds selected.This algorithm can effectively solve the visual clutter and bad regional shortcomings in traditional seismic attribute image.After validation in Daqing oil field for many seismic images,this algorithm method can not only effectively improve the deficiency in traditional seismic image,but greatly improve the efficiency of the seismic interpretation work.