摘要
单点高密度地震勘探技术采用点激发、点接收、小道距、大道数的采集方式,可以弥补常规组合采集方法存在组内干扰等缺点,满足高精度地震勘探的需要.单点高密度地震资料单炮记录信噪比较低、去噪难度较大,采用常规去噪技术效果不理想.单点高密度空间采样具有空间无假频采样,真实记录地震波场的优势,可以对单炮记录数据进行信息重构.信息重构去噪处理方法,就是根据噪音差异最大化的去噪思想,将单点高密度地震资料的信息进行重构,尽量使得重构后的资料中噪音在各地震道之间的差异加大,然后再进行去噪处理.信息重构方法可以在时空域实现,也可以通过分频处理实现.该方法简单灵活,可以得到较好的去噪效果,改善地震资料的成像精度.
A new method for seismic data denoising is proposed in this paper. The Single-point ~ High-density seismic acquisition with single shot, single receiver, small group interval, and large group number, than the common array can reduce more in-group interference and meets the demand of high-precision seismic exploration. As low S/N, it is difficult for single-shot data collected with Single-point and High-density to denoise, and the results of conventional denosing technologies are not effective. The Sampling of Single-point & High-density data is spatial aliasing-free, by it truly record seismic waveform, so we can reconstruct single shot data. The information reconstructing and denoising method is based on the idea that maximizes noise difference and deletes noises. First, according to seismic data collected by Single-point ~ High-density reconstruct information data, you can as possible make data with significantly different noises between groups. Then remove the noises. The method can be achieved both in time-spatial domain and by frequency division. It is simple and flexible; by it you can get a better result of denoising and improve seismic imaging accuracy.
出处
《地球物理学进展》
CSCD
北大核心
2013年第1期345-353,共9页
Progress in Geophysics
关键词
单点
高密度
信息重构
去噪
single-point, high-density, information reconstruction, denoising
作者简介
仲伯军,男,1963年生,江苏泰兴人,高级工程师,成都理工大学在读博士生,主要从事地球物理勘探地震资料处理方法研究.(E-mail:marine_zhongb)l@foxrnail.com)