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强衰减地层VSP反Q滤波方法
引用本文:董相杰,余杰,王珊,安昌女,罗健.强衰减地层VSP反Q滤波方法[J].石油地球物理勘探,2014,49(5):871-876.
作者姓名:董相杰  余杰  王珊  安昌女  罗健
作者单位:1. 大庆油田有限责任公司钻探工程公司地球物理勘探一公司, 黑龙江大庆 163357; 2. 东方地球物理公司研究院处理中心, 河北涿州 072751
摘    要:本文根据零井源距VSP下行初至波最大振幅随时间的变化趋势,将地层划分为强衰减地层和弱衰减地层。其中地震波衰减最强烈的强衰减地层可认为是由多个层状常Q介质构成,Q值主要利用VSP资料提取;而弱衰减地层认为是Q值大于200、地震波发生的衰减相对较弱甚至可以忽略的地层。在波场延拓反Q滤波方法基础上本文提出VSP强衰减地层反Q滤波,该法弥补了因中、深层Q值难以求准、补偿约束难度较大等因素导致的反Q滤波精度降低的缺陷,使反Q滤波结果更稳定、高效,也为地面地震反Q滤波方法的完善及应用提供有意义的启示。

关 键 词:VSP  强衰减地层  Q滤波  时间厚度  
收稿时间:2013-05-08

VSP inverse Q filtering in strong attenuation formations
Dong Xiangjie,Yu Jie,Wang Shan,An Changnu,Luo Jian.VSP inverse Q filtering in strong attenuation formations[J].Oil Geophysical Prospecting,2014,49(5):871-876.
Authors:Dong Xiangjie  Yu Jie  Wang Shan  An Changnu  Luo Jian
Affiliation:1. The First Geophysical Branch, Drilling and Exploration Corporation, Daqing Oilfield Company Ltd., CNPC, Daqing, Heilongjiang 163357, China; 2. GRI, BGP Inc., CNPC, Zhuozhou, Hebei 072751, China
Abstract:VSP is used to study seismic absorption and attenuation because of seismic wave acquired in wells. We consider that there are two kinds of formation: strong attenuation formations and weak attenuation formations according to the maximum amplitude variation of down primary wave with time in zero-offset VSP. The strongest attenuation formation is composed by multi constant Q layers, and the Q value in each layer can be extracted from VSP data. While the Q is infinite in weak attenuation formations, and seismic wave attenuation can be ignored. Based on the wave-extrapolation inverse Q filtering, the inverse Q filtering in strong attenuation formations is presented in this paper. Pilot tests show that this proposed approach is more stable and efficient than conventional inverse Q filtering which lead low accuracy due to difficulties in accurate Q value calculation. At the same time, this approach may provide meaningful insights for surface seismic inverse Q filtering.
Keywords:VSP  strong attenuation formation  inverse Q filtering  thickness in time  
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