论文详情

基于曲波变换的地面微地震资料去噪方法研究

石油物探

2012年 51卷第No. 6期

阅读：72

Title

Surface microseismic date denoising method based on curvelet transform

单位

1.中国石油化工股份有限公司石油物探技术研究院，江苏南京211103；2.中国石油大学(华东)地球科学与技术学院

，山东青岛266580

Organization

Jiang Yudong,Sinopec Geophysical Research Institute,Nanjing 211103,China

摘要

针对地面微地震资料采集方式及其信号特点，并结合曲波变换的特点及阈值去噪原理，研究了一种基于曲波

变换的自适应阈值去噪方法。首先将地面微地震资料进行曲波变换，得到不同尺度、不同方向的曲波系数；然后通

过计算曲波系数统计量的方法来确定自适应阈值,采用软、硬阈值折衷方法对曲波系数进行处理；最后将处理后的

曲波系数进行反变换得到去噪后的信号。理论模型和实际资料的处理结果验证了该方法的有效性。

Abstract

According to the characteristic of surface microseismic date acquisition method,combining the features of curvelet

transform,we introduced a new adaptive threshold denoising method based on curvelet transform.Firstly,we carry out curvelet

transform on the surface microseismic data to obtain curvelet coefficients in different scale and directions.Secondly,adaptive

threshold value can be determined by calculating curvelet coefficient statistics,curvelet coefficients are processed by

compromising the soft & hard threshold value.Finally we inversely transform the processed curvelet coefficients and get the

denoising signal.The processing results on theoretical and actual data proved the correction of the method.

关键词：

地面微地震监测; 微地震资料处理; 曲波变换; 去噪; 阈值;

Keywords:

surface microseismic monitoring; microseismic data processing; curvelet transform; de-noising; threshold value;

基金项目

DOI

10.3969/j.issn.1000-1441.2012.06.011