摘要
在地震勘探中,由于地下结构错综复杂,多尺度非均匀的地质体常会形成包含反射波、散射波等在内的复杂的地震波场。传统的成像方法一般只考虑反射波场,忽略了散射波场,这使得细小结构无法准确成像,从而影响对复杂构造的识别。为了对小尺度构造进行准确的地震成像,要将散射波从地震波场中分离出来。在众多波场分离算法中,基于滤波的波场分离方法可以准确提取散射波,提高成像分辨率。本文调研和归纳多种基于滤波处理的地震散射波分离方法,围绕国内外学者在滤波处理波场分离方面的研究成果,总结各种方法的研究进展,并对比和分析各方法的分离效果,最后结合人工智能深度学习的研究趋势,对未来滤波处理散射波分离的发展方向进行展望。
In seismic exploration,complex seismic wave fields comprising reflected waves,scattered waves,and other phenomena are formed due to the intricate nature of underground structures.Traditional imaging methods typically focus solely on the reflected wave field,disregarding the scattered wave field.This limitation hampers accurate imaging of small-scale structures and impedes the identification of complex structures.To address this challenge and achieve precise imaging of small-scale structures,it is crucial to separate from the scattered waves from the seismic wave field.Among the various wave field separation algorithms,filtering-based methods have shown promising results in accurately extracting scattered waves and enhancing imaging resolution.This study explores and summarizes different methods for seismic scattered wave separation based on filtering techniques.By reviewing the research findings of both domestic and international scholars in the field of filtering-based scattered wave separation,the study provides an overview of the progress made and compares and analyzes the separation effects of each method.Additionally,considering the advancements in deep learning within the realm of artificial intelligence,the future development direction of filtering-based scattered wave separation is also envisioned.
作者
叶峻林
李桂花
丁仁伟
赵俐红
赵硕
孙世民
YE Junlin;LI Guihua;DING Renwei;ZHAO Lihong;ZHAO Shuo;SUN Shimin(Shandong Province Key Laboratory of Sedimentary Mineralization and Sedimentary Minerals/College of Earth Sciences and Engineering,Shandong University of Science and Technology,Qingdao 266590,China;Functional Laboratory of Marine Mineral Resources Evaluation and Exploration Technology/Qingdao National Laboratory of Marine Science and Technology,Qingdao 266237,China)
出处
《CT理论与应用研究(中英文)》
2024年第1期105-117,共13页
Computerized Tomography Theory and Applications
基金
国家自然科学基金(北冰洋美亚海盆岩石圈的挠曲形变特征(41676039))
山东省自然科学基金(基于混合模型深度神经网络的多波地震油气藏特征提取与识别(ZR202103050722))
西太平洋地球系统多圈层相互作用重大研究计划(马里亚纳南段输入板块的俯冲过程与归宿及其对浅部变形的约束(92058213))。
关键词
地震成像
波场分离
散射波
滤波
高分辨率
seismic imaging
wave field separation
scattered wave
filtering
high resolution