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应用宽带Ricker子波的期望目标频谱整形
引用本文:赵宝银,陈思远,陶钰,许晶,王浩. 应用宽带Ricker子波的期望目标频谱整形[J]. 石油地球物理勘探, 2020, 55(3): 541-547. DOI: 10.13810/j.cnki.issn.1000-7210.2020.03.007
作者姓名:赵宝银  陈思远  陶钰  许晶  王浩
作者单位:1. 中国石油冀东油田公司, 河北唐山 063004;2. 中国石油大学CNPC物探重点实验室, 北京 102249
基金项目:本项研究受国家重点研发计划项目“勘探地震中的提高地震数据分辨率方法”(SQ2017YFGX030021)、国家科技重大专项“渤海湾盆地精细勘探关键技术——南堡凹陷油气富集规律与增储”(2016ZX05006-006)、国家自然科学基金项目“含裂隙介质AVF规律研究”(41674128)联合资助。
摘    要:以地震子波整形为核心的谱白化方法是现今叠后地震数据高分辨率处理的常用方法,而期望的子波形态也一直倍受关注。与带限子波、经典Ricker子波等常用整形子波相比,宽带Ricker子波因其旁瓣能量弱、相同主瓣宽度下的分辨率较Ricker子波高等特点而在地震数据处理中得到广泛应用。通过设计综合衡量分辨率与保真度的参数(R)并搜寻其极值点,确定有限带宽下宽带Ricker子波的最佳形态,进而提出基于宽带Ricker子波的均衡子波,指导叠后数据的地震子波整形。理论模型和实际数据处理结果均表明,所提均衡子波为地震资料的高分辨率和高保真度处理提供了新的参考途径。

关 键 词:宽带Ricker子波  俞氏子波  频谱整形  均衡子波  
收稿时间:2019-05-29

Spectrum shaping of desired targets based on broadband Ricker wavelets
ZHAO Baoyin,CHEN Siyuan,TAO Yu,XU Jing,WANG Hao. Spectrum shaping of desired targets based on broadband Ricker wavelets[J]. Oil Geophysical Prospecting, 2020, 55(3): 541-547. DOI: 10.13810/j.cnki.issn.1000-7210.2020.03.007
Authors:ZHAO Baoyin  CHEN Siyuan  TAO Yu  XU Jing  WANG Hao
Affiliation:1. PetroChina Jidong Oilfield Company, Tangshan, Hebei 063004, China;2. CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum(Beijing), Beijing 102249, China
Abstract:Spectrum whitening based on seismic wavelet shaping is a common method for high-resolution post-stack seismic processing,and the desired wavelet shape has always been a much hotter topic.Compared with band-limited wavelet,Ricker wavelet and other commonly used shaping wavelets,broadband Ricker wavelet is widely used in seismic data processing on account of its weaker sidelobe energy and higher resolution at the same main lobe width than Ricker wavelet.By designing the parameter(R) that takes into account resolution and fidelity and searching for the extreme point,the optimal shape of the broadband Ricker wavelet with a limited bandwidth is determined,and then a ba-lanced wavelet based on broadband Ricker wavelet is proposed to guide wavelet shaping of post-stack data.Model and field data have proved that the balanced wavelet provides a new reference to seismic processing with high resolution and high fidelity.
Keywords:broadband Ricker wavelet  Yu’s wavelet  spectrum shaping  balanced wavelet  
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