面向海上地震资料的τ-p域保幅处理方法

英文篇名：Amplitude Preserving Method in τ-p Domain for Offshore Seismic Data
中文刊名：现代地质
英文刊名：Geoscience
作者：孙鲁平 ; 首皓 ; 张玉华 ; 曹自强
英文作者：SUN Lu-ping1 ; 2 ; SHOU Hao3 ; ZHANG Yu-hua4 ; CAO Zi-qiang4(1.School of Geophysics and Information Technology ; China University of Geosciences ; Beijing 100083 ; China ; 2.Key Laboratory of Geo-detection(China University of Geosciences ; Beijing) ; Ministry of Education ; Beijing 100083 ; China ; 3.Research Institute of Petroleum Exploration and Development ; PetroChina ; Beijing 100083 ; China ; 4.CNOOC Research Institute ; Beijing 100027 ; China)
中文关键词：保幅处理 ; τ-p域处理 ; 多次波衰减 ; 智能导向滤波 ; 拉伸校正
英文关键词：amplitude preserving processing ; τ-p domain processing ; demultiple ; intelligent guide filter ; stretch correction
出版日期：2012-12-15
机构：中国地质大学地球物理与信息技术学院;地下信息探测技术与仪器教育部重点实验室(中国地质大学,北京);中国石油勘探开发研究院;中海石油研究总院;
年：2012
期：06
出版单位：现代地质

摘要

AVO分析和反演需要地震资料处理时最大限度地保持振幅相对关系,然而常规处理中球面扩散补偿、拉伸畸变和多次波均会影响振幅相对关系,海上地震资料尤为严重。提出一套面向海上地震资料的τ-p域保幅处理方法。该方法通过τ-p域无需球面扩散补偿且多次波周期性增强的特点,减少球面扩散补偿与多次波对振幅相对关系的破坏,通过τ-p域拉伸因子非时空变换的特点减少动校拉伸产生的频率和能量畸变。最后通过挪威海上实际资料的处理验证了方法的合理性与可行性。
AVO analysis and the inversion need to preserve amplitude relative relations when processing seismic data.In conventional processing methods,spreading compensation,stretch distortion and multiple ware can change the relation of amplitude.All above questions are serious,especially for offshore seismic data.This article proposed a new method based on processing data in τ-p domain,with do not need spherical spreading compensation,and can improve can correlation of multiple ware,reduce spherical spreading compensation and multiple wave to distort amplitude relative relations,and easily to carry on amplitude stretch correction with robust stretch correction factor,reduce distortion of the frequency and energy which caused by NMO,proposed seismic amplitude preserving processing method for offshore seismic data.Finally actual material processing has confirmed the method rationality and the feasibility through Norwegian offshore seismic data.

引文

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