摘要
为提高某工区叠前地震资料品质,压制低频噪声的同时保留有效反射波信息,采用自回归普分解技术,实现叠前地震数据中低频噪声的提取以及压制。该技术通过将地震数据分解为多个尺度分量,类似面波等低频噪声会被作为一个分量,在重构过程中压制对应的分量,即实现低频噪声压制目标。通过实际地震资料应用实例说明该技术良好的实际应用效果。
In order to effectively improve the quality of the pre-stack data in a certain work area,suppress the lower noise and retain the effective reflected wave information,the article mainly adopts the autoregressive generalization technique.The purpose is to achieve the extraction and suppression of low meter noise in the precursor data data.This technology decomposes geographical data into multiple scale components through authentication.Low-frequency noise like surface waves will be used as a component,and the corresponding component will be suppressed in the reconstruction process,that is,the goal of low-frequency noise suppression will be achieved.And through actual seismic data application examples to illustrate that the technology has good practical application effects.
作者
姚鹏博
Yao Pengbo(Xi’an Shiyou University,Xi’an 710065,China;Shaanxi Investment Group Co.,LTD.,Xi’an 710061,China)
出处
《云南化工》
CAS
2021年第3期88-89,共2页
Yunnan Chemical Technology
基金
陕西省黄陇侏罗纪煤田焦坪煤矿贯草梁详查(项目编号:61201405257)
