基于对时变子波进行分频段处理的反褶积方法在薄层预测中的应用  

A new deconvolution based on sub-band processing with the time-varying wavelet applied in thin reservoir prediction

作　　者：黄林军[1] 郭欣[1] 刘力辉 张寒[1] HUANG Linjun;GUO Xin;LIU Lihui;ZHANG Han(Research Institute of Petroleum Exploration&Development-Northwest,PetroChina,Lanzhou 730020,China;chinarockstar Technology Co.,Ltd.Chengdu 610041,China)

机构地区：[1]中国石油勘探开发研究院西北分院,兰州730020 [2]成都晶石石油科技有限公司,成都610041

出　　处：《物探化探计算技术》2019年第5期586-592,共7页Computing Techniques For Geophysical and Geochemical Exploration

基　　金：大型油气田及煤层气开发国家科技重大专项子课题(2011ZX05003-003)

摘　　要：为提高叠后地震资料预测薄层的精度,改善常规方法提高分辨率的同时却降低信噪比和求解不稳定的问题,按照提取时变子波、分频段处理、反褶积的研究思路,提出一种提高地震记录分辨率,压制噪声,以恢复反射系数为目标的反褶积方法,该方法用高频、中频、低频三个数据约束子波反褶积,运算过程加入分频去噪功能,实现了分辨率与信噪比同时提高。实际资料的薄层预测验证了该方法的有效性。To improve the prediction accuracy of thin reservoir,the lower SNR and solving problems of instability in conventional methods as well,according to the research ideas of time-varying wavelet extraction,sub-band processing,deconvolution.We put forward a method which can restore the reflection coefficient,improve seismic resolution,suppress noise at the same time in this study.The method uses high-frequency,intermediate frequency,low frequency to constraints wavelet deconvolution,the operation process including adding frequency denoising function,both the resolution and the signal-to-noise ratio can be improved.The effectiveness of this method is verified by actual data.

关 键 词：时变子波 分频段处理 反褶积 薄储层 分辨率 

分 类 号：P631.4[天文地球—地质矿产勘探]