摘要
大地吸收效应是造成地震波能量衰减、分辨率降低的重要因素,反Q滤波能够对衰减能量进行有效恢复、提高资料分辨率.常规的反Q滤波采用增益函数,能自适应地减小高频能量的补偿系数,但并不能对资料的信噪比进行很好的自适应.针对该问题,在原有增益函数的基础上,设计了与资料局部信噪比有关的增益参数.该参数具有时空变特征,能较好地适应资料本身的特点.在高信噪比区域,取较大的增益参数,对高频成分进行相对充分的补偿;在低信噪比区域,取较小的增益参数,对高频成分进行相对有限的补偿.模型测试和资料处理表明,该方法对资料的适应性较好,且取得了较好的补偿效果.
The earth absorption effect is an important factor resulting in the energy attenuation of seismic waves and the degradation of resolution.The inverse Q filtering method helps to restore attenuated energy and improve data resolution.The conventional inverse Q filtering method employs a gain function,which can adaptively reduce the compensation coefficient of high-frequency energy but cannot adapt to the signal to noise ratio(SNR)of data very well.Therefore,the gain parameter related to the local data SNR has been specially designed and proposed based on the gain function.A gain parameter with attributes of spatial and temporal variability can better adapt to the features of data.In high SNR regions,if the chosen value of the gain parameter is high,it can adequately compensate for the high frequency components in a effective manner.In contrast,in low SNR regions,if the chosen value of the gain parameter is smaller,it can only compensate for the high frequency components in a relatively limited manner.Model testing and data processing demonstrates that the inverse Q filtering method can be well adapted to data and achieve a good compensation effect.
作者
郭志伟
曹思远
袁殿
GUO Zhiwei;CAO Siyuan;YUAN Dian(State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum-Beijing,Beijing102249,China;College of Geophysics,China University of Petroleum-Beijing,Beijing102249,China;Beijing Sinohytec Limited Liability Company,Beijing100084,China)
出处
《石油科学通报》
2019年第2期123-133,共11页
Petroleum Science Bulletin
基金
国家自然科学基金(41674128)
国家重点研发计划(SQ2017YFGX030021)
中国石油科技创新基金项目“陆上层间多次波压制技术”(2017D-5007-0302)联合资助
关键词
吸收衰减
反Q滤波
稳定因子
增益参数
时空变
自适应
absorption attenuation
inverse Q filtering
stability factor
gain parameter
time-space variant
adaptive
作者简介
通信作者:曹思远,siyuan.caoff@gmail.com
