地震多属性RGBA颜色融合技术的应用研究

^{Application of seismic multi-attributes RGBA color blending}

(1.西南石油大学资源与环境学院,四川成都610500；2.中国海洋石油总公司油田服务股份有限公司物探事业部,广东湛江524057)

School of Resources and Environment Engineering,Southwest Petroleum University,Chengdu 610500,China

利用数学工具和计算机图形能力将众多的地震属性映射为低维数的数据进行解释,可以提高地震属性分析的效率。地震多属性PCA-RGBA颜色融合技术是一种基于视觉的属性分析方法,其原理是,将多个地震属性通过主成分分析(PCA)技术进行降维,并将主分量按特征值由大到小排序,取前3个(或4个)主分量利用RGBA(Red-Green-Blue-Alpha)颜色融合原理获得一张融合图；再结合实际地质资料,在融合图像上依据颜色的区域性和突变异常等视觉特征,进行地质目标解释。在渤海SZ油田,应用该方法对常规地震属性数据进行了处理,在辅助断层识别、油藏流体时移变化区域判定等方面获得了良好的效果。

By using mathematical tools and computer graphic technology,many seismic attributes can be mapped to low-dimensional data for interpretation,and then improve the efficiency of seismic attribute analysis.Seismic multi-attributes PCARGBA color blending is a vision-based attribute analysis method.Firstly,seismic attributes are transformed to low-dimension by Principal Component Analysis (PCA) technology,and the principal components are arranged in terms of eigenvalues from big to small,the first three (or four) principal components are processed by RGBA（Red-Green-Blue-Alpha）color blending to obtain a blending map.Then,combing with the actual geologic data,geologic targets are interpreted by the vision characteristics (regional and abnormally changed of color) on blending map.Conventional seismic attributes of Bohai SZ oilfield were processed by the method;good results have been achieved in aiding for fault recognition and identifying the characteristics of reservoir fluid variation in time-lapse data.