Application of Seismic Multi-Attributes RGBA Color Blending
详细信息
- 责任者：Ding Feng (School of Resources and Environment Engineering ; Southwest Petroleum University ; Chengdu 610500 ; China) ; Nian Yongji
- 刊名：Geophysical Prospecting for Petroleum
- 出版年：2010
- 卷期：49(3)
- 关键词：地震属性 ; seismic attributes ; 数据融合 ; data fusion
- 页码：p.248-252
- 图表：illus., 12 refs.
- 分类号：1600
- issnNo：ISSN1000-1441
- isbnNo：CN32-1284/TE
摘要
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.
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