首页> 外文期刊>Journal of Applied Geophysics >Q factor estimation from the amplitude spectrum of the time-frequency transform of stacked reflection seismic data
【24h】

Q factor estimation from the amplitude spectrum of the time-frequency transform of stacked reflection seismic data

机译:从叠加反射地震数据时频变换幅度谱估算Q因子

获取原文
获取原文并翻译 | 示例
           

摘要

Attenuation is one factor that degrades the quality of reflection seismic subsurface imaging. It causes a progressive decrease in the seismic pulse energy and is also responsible for limiting seismic resolution. Currently, many methods exist for inverse Q filtering, which can be used to correct these effects to some extent; however, but all of these methods require the value of the Q factor to be known, and this information is rarely available. In this paper we present and evaluate three different strategies to derive the Q factor from the time-frequency amplitude spectrum of the seismic trace. They are based in the analyses of the amplitude decay trend curves that can be measured along time, along frequency or along a compound variable obtained from the time-frequency product. Some difficulties are highlighted, such as the impossibility to use short time window intervals that prevents the method from providing a precise map of the Q factor value of the subsurface layers. However, the Q factor estimation made in this way can be used to guide the parameterization of attenuation correction by means of inverse Q filtering applied to a stacked seismic section; this is demonstrated in a real data example. (C) 2015 Elsevier B.V. All rights reserved.
机译:衰减是降低反射地震地下成像质量的因素之一。它导致地震脉冲能量的逐渐减小,并且还导致限制地震分辨率。当前,存在许多用于反Q滤波的方法,这些方法可以在一定程度上纠正这些影响。但是,但是所有这些方法都要求知道Q因子的值,并且该信息很少可用。在本文中,我们提出并评估了三种不同的策略来从地震道的时频振幅谱中导出Q因子。它们基于对幅度衰减趋势曲线的分析,这些曲线可以沿时间,沿频率或沿从时频积获得的复合变量进行测量。突出了一些困难,例如无法使用短时间窗间隔,这会阻止该方法提供地下层Q因子值的精确映射。但是,以这种方式进行的Q因子估算可以通过对叠置地震剖面进行反Q滤波来指导衰减校正的参数化;真实数据示例中对此进行了演示。 (C)2015 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号