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高密度空间采样地震数据特点分析
引用本文:蔡希玲,刘学伟,邓春艳,吕英梅.高密度空间采样地震数据特点分析[J].应用地球物理,2006,3(1):48-54.
作者姓名:蔡希玲  刘学伟  邓春艳  吕英梅
作者单位:中国地质大学,中国地质大学,石油天然气集团公司东方地球物理公司研究院,石油天然气集团公司东方地球物理公司研究院 北京 1000083 石油天然气集团公司东方地球物理公司研究院涿州,072750,北京 1000083,涿州,072750,涿州,072750
摘    要:中国陆相沉积盆地的地质结构复杂,储层岩性的多变,需要有高精度的勘探方法。高密度空间采样是提高地震勘探精度的一项新技术。本文简要说明了点激发和点接收技术,分析高密度空间采样的野外工作方法,介绍了Gijs j.o.Vermeer提出的对称采样原理,从波场连续性的角度探讨了高密度空间采样技术。重点分析高密度空间采样数据的特点, 即:高密集的初至波有利于近地表结构的调查,可提高静校正的精度;小偏移距、小点距接收增加了浅层的有效覆盖次数,提高浅层反射的成像精度; 对规则噪声可实现无假频采样,室内的噪声分析和噪声压制的精度随着提高;高密度采集使波场连续性增强,使得各种数学变换的精度提高,有利于不同波场的分离。最后指出高密度空间采样地震勘探技术的难点在于室内数据处理,针对海量数据的分析和处理方法还需要进行深入细致的研究工作。

关 键 词:高密度空间采样  对称采样  静校正  噪声压制  波场分离  数据处理
收稿时间:25 October 2005

Characteristics analysis on high density spatial sampling seismic data
Cai Xiling,Liu Xuewei,Deng Chunyan,Lv Yingme.Characteristics analysis on high density spatial sampling seismic data[J].Applied Geophysics,2006,3(1):48-54.
Authors:Cai Xiling  Liu Xuewei  Deng Chunyan  Lv Yingme
Institution:(1) China University of Geosciences, Beijing, 100083, China;(2) Research Institute of Bureau of Geophysical Prospecting, CNPC, Zhuozhou, 072750, China
Abstract:China's continental deposition basins are characterized by complex geological structures and various reservoir lithologies. Therefore, high precision exploration methods are needed. High density spatial sampling is a new technology to increase the accuracy of seismic exploration. We briefly discuss point source and receiver technology, analyze the high density spatial sampling in situ method, introduce the symmetric sampling principles presented by Gijs J. 0. Vermeer, and discuss high density spatial sampling technology from the point of view of wave field continuity. We emphasize the analysis of the high density spatial sampling characteristics, including the high density first break advantages for investigation of near surface structure, improving static correction precision, the use of dense receiver spacing at short offsets to increase the effective coverage at shallow depth, and the accuracy of reflection imaging. Coherent noise is not aliased and the noise analysis precision and suppression increases as a result. High density spatial sampling enhances wave field continuity and the accuracy of various mathematical transforms, which benefits wave field separation. Finally, we point out that the difficult part of high density spatial sampling technology is the data processing. More research needs to be done on the methods of analyzing and processing huge amounts of seismic data.
Keywords:high density spatial sampling  symmetric sampling  static correction  noise suppression  wave field separation  and data processing    
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