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重磁小波多尺度分解及在火山岩识别中的应用
The Wavelet Multi-scale Decomposition of Gravity and Magnet and Its Application in the Identification of Volcanic Rock
【摘要】 火山岩油气藏已经成为一种新型的油气藏类型而备受人们关注,由于火成岩具有较强磁性和较高的剩余密度而往往采用高精度重磁勘探方法来研究它们的分布范围。本文采用小波分析方法识别渤海湾某凹陷区火山岩产生的弱重磁异常,在此基础上利用垂向二次导数圈定异常边界,以此来确定火山岩在平面上的分布,并利用三维地震剖面检验了方法的识别效果。结果表明采用该方法识别的火山岩与实际情况吻合率较高。
【Abstract】 Volcanic reservoir has become a new type of reservoir which is drawing people’s attention.Because the volcanic rock has a strong magnet and high residual density,its distribution is often studied by using the high-precision gravity and magnetic exploration method.In this paper,we adopt the wavelet method to identify the abnormal weak gravity and magnet of volcanic rock in one depression of Bohai.Then the abnormal border is circled with the second vertical derivative method so as to determine the volcanic distribution.And also the method is tested by the 3-D seismic section.The result shows that this method is good to identify volcanic rock.
【Key words】 wavelet; multi-scale decomposition; gravity and magnetic data; volcanic;
- 【文献出处】 工程地球物理学报 ,Chinese Journal of Engineering Geophysics , 编辑部邮箱 ,2008年06期
- 【分类号】P631.2
- 【被引频次】9
- 【下载频次】347