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重磁小波多尺度分解及在火山岩识别中的应用
引用本文:宋双,刘天佑,苏俊青. 重磁小波多尺度分解及在火山岩识别中的应用[J]. 工程地球物理学报, 2008, 5(6): 675-679
作者姓名:宋双  刘天佑  苏俊青
作者单位:中国地质大学地球物理与空间信息学院,武汉,430074;大港油田勘探开发研究院,天津,300280
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。

关 键 词:小波分析  多尺度分解  重磁资料  火山岩

The Wavelet Multi-scale Decomposition of Gravity and Magnet and Its Application in the Identification of Volcanic Rock
Song Shuang,Liu Tianyou,Su Junqing. The Wavelet Multi-scale Decomposition of Gravity and Magnet and Its Application in the Identification of Volcanic Rock[J]. Chinese Journal of Engineering Geophysics, 2008, 5(6): 675-679
Authors:Song Shuang  Liu Tianyou  Su Junqing
Affiliation:Song Shuang1,Liu Tianyou1,Su Junqing2
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.
Keywords:wavelet  multi-scale decomposition  gravity and magnetic data  volcanic
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