单点高密度资料的组合去噪方法研究
Research on Combination Denoising Methods for single-sensor high-density seismic data
张靖1
作者信息
- 1. 中石化石油物探技术研究院有限公司 江苏 南京 211103
- 折叠
摘要
为了推动老区油气田的进一步勘探开发,解决复杂隐秘油气储集体的勘探开发难题,主要针对单点高密度资料的处理方法进行研究.单点高密度资料的特点是小面元宽频带、宽方位、高炮道密度,同时信噪比较低,因此在室内资料处理过程中解决好信噪比问题非常关键,并基于地震资料的时频域特征利用分级曲波变换对叠前噪音进行组合压制.
Abstract
In order to promote further exploration and development of oil and gas fields in the old area and solve the exploration and development difficulties of complex and hidden oil and gas reservoirs,this study focuses on the processing methods of single-sensor high-density seismic data.The characteristics of single-sensor high-density seismic data are small bin wide frequency band,wide azimuth,high shot density,and low signal-to-noise ratio.Therefore,it is crucial to solve the signal-to-noise ratio problem in indoor data processing.This study is mainly based on the time-frequency domain characteristics of seismic data,and utilizes graded curved wave transform to combine and suppress pre-stack noise.
关键词
老区油气田/单点高密度/组合去噪Key words
Old area oil and gas field/Single point high density/Combined denoising引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据