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| 基金项目：江苏省第五期“333高层次人才培养工程”科研项目“江苏省页岩气资源调查的地球物理勘探技术集成研究”，江苏省专项资金项目“江苏省页岩气资源调查与评价”（苏发改能源[2015]1541号） |
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| 摘要： |
| 野外采集的重力数据是地下各类地质体重力场的叠加反映，如何有效地分离深源场和浅源场是重力资料处理中的一项重要内容。基于二代小波变换基本理论，在一维的基础上，给出了二维Haar预测算子的构造方法，并利用密度模型正演模拟，证明了二代小波变换实现多尺度分解的有效性，并以苏北某地区重力数据为例，应用二代小波变换开展浅部和深部重力异常场的分离。结果表明，该方法简单实用，在重力数据的场源分离中可以发挥重要的作用，对研究区域性断裂构造特征、划分构造单元、圈定隆坳格局等方面的地质问题具有参考价值。 |
| 关键词：二代小波 提升算法 多尺度分解 场源分离 苏北盆地 |
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| Abstract: |
| The gravity data collected in field is a superposition reflection of the gravity field caused by various kinds of underground geological bodies. How to separate deep and shallow source field effectively is an important part of gravity data processing. According to the basic theory of second-generation wavelet transform, on the basis of the one-dimensional algorithm, this work determined the method of two-dimensional Haar prediction factors, and used the forward calculation of density model to validate the effectiveness of the second-generation wavelet transform for multi-scale decomposition. Finally, taking the gravity data in northern Jiangsu area as an example, this work separated shallow and deep gravity anomaly fields by using the second-generation wavelet transform. The results show that the method is simple and practical, and can play an important role in the separation of field sources of gravity data. It can provide important reference for the study of regional structural characteristics, the division of structural units, and the distribution of uplifts and depressions. |
| Keywords:second-generation wavelet lifting algorithm multi-scale wavelet analysis field source separation Subei Basin |
| 崔健，何委徽，韩红庆，等.二代小波变换在重力场源分离中的应用[J].地质学刊,2018,42(4):616-622 |
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