RGB混频显示技术及其在河道识别中的应用
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摘要
目前谱分解技术已经成为地震储层预测的一种常规技术手段。分频成果显示方面,由于其特殊的显示效果,RGB颜色混合技术也越来越受到关注。介绍了RGB分频混合显示技术在某三维工区河道识别中的应用。首先进行小波分频处理,然后将频带上互不重叠的三个分频能量属性体进行RGB颜色混合,在混频体上实现对目标体的刻画和研究。应用效果表明,利用RGB混频显示技术可以大大提升分频成果对河道的分辨能力,其结果明显优于单个分频能量属性效果。
Spectral decomposition has become a routine tool for reservoir prediction and description.RGB color blending display mode is becoming more and more popular in result representation derived from spectral decomposition.In this paper,we discuss the RGB color blending technique and its application in channel recognition.The attribute volumes of 3 different dominant frequency were set to R(red color),G(green color),and B(blue color)separately and were RGB blended.The RGB blended volume was used in reservoir prediction and analysis.On the RGB blended attribute map,channel system is clear and definite,and faults are shown as pure white color.The resolution for channel recognition has been improved greatly compared with using single attribute.
Spectral decomposition has become a routine tool for reservoir prediction and description.RGB color blending display mode is becoming more and more popular in result representation derived from spectral decomposition.In this paper,we discuss the RGB color blending technique and its application in channel recognition.The attribute volumes of 3 different dominant frequency were set to R(red color),G(green color),and B(blue color)separately and were RGB blended.The RGB blended volume was used in reservoir prediction and analysis.On the RGB blended attribute map,channel system is clear and definite,and faults are shown as pure white color.The resolution for channel recognition has been improved greatly compared with using single attribute.
引文
1徐丽英,徐鸣洁,陈振岩.利用谱分解技术进行薄储层预测[J].石油地球物理勘探,2006,41(3):299～302
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3朱庆荣,张越迁,于兴河,等.分频解释技术在表征储层中的应用[J].矿物岩石,2003,23(3):104～108
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5蔡刚,吕锡敏,苏明军,等.频谱分解技术在准噶尔盆地油气勘探中的应用[J].天然气工业,2006,26(4):35～37
6张奎凤,蓝晖.短时窗地震信号谱分析方法[J].石油物探,1995,34(2):94～98
7马朋善,王继强,刘来祥.Morlet小波分频处理在提高地震资料分辨率中的应用[J].石油物探,2007,46(3):283～289
8高静怀,陈文超,李幼铭,等.广义S变换与薄互层地震响应分析[J].地球物理学报,2003,46(4):526～532
9郭刚明,时立彩,高生军,等.小波变换在地震资料处理中的应用效果分析[J].石油物探,2003,42(2):237～270
10崔锦泰.小波分析导论[M].程正兴译.陕西西安:西安交通大学出版社,1995.71～80
11曹林,王东峰,刘小军,等.基于二维Gabor小波的人脸识别算法[J].电子与信息学报,2006,28(3):490～494
12叶吉祥,胡秀丽.基于Gabor小波与分形维的人脸情感特征提取[J].计算机工程,2008,34(4):226～228
2张进铎,杨平,王云雷.地震信息的谱分解技术及其应用[J].勘探地球物理进展,2006,29(4):235～238
3朱庆荣,张越迁,于兴河,等.分频解释技术在表征储层中的应用[J].矿物岩石,2003,23(3):104～108
4袁志云,孔令洪,王成林.频谱分解技术在储层预测中的应用[J].石油地球物理勘探,2006,41(增刊):11～15
5蔡刚,吕锡敏,苏明军,等.频谱分解技术在准噶尔盆地油气勘探中的应用[J].天然气工业,2006,26(4):35～37
6张奎凤,蓝晖.短时窗地震信号谱分析方法[J].石油物探,1995,34(2):94～98
7马朋善,王继强,刘来祥.Morlet小波分频处理在提高地震资料分辨率中的应用[J].石油物探,2007,46(3):283～289
8高静怀,陈文超,李幼铭,等.广义S变换与薄互层地震响应分析[J].地球物理学报,2003,46(4):526～532
9郭刚明,时立彩,高生军,等.小波变换在地震资料处理中的应用效果分析[J].石油物探,2003,42(2):237～270
10崔锦泰.小波分析导论[M].程正兴译.陕西西安:西安交通大学出版社,1995.71～80
11曹林,王东峰,刘小军,等.基于二维Gabor小波的人脸识别算法[J].电子与信息学报,2006,28(3):490～494
12叶吉祥,胡秀丽.基于Gabor小波与分形维的人脸情感特征提取[J].计算机工程,2008,34(4):226～228
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