CMP Spatial Autocorrelation Analysis of Multichannel Passive Surface-Wave Data
CMP Spatial Autocorrelation Analysis of Multichannel Passive Surface-Wave Data
复制标题
多通道无源面波数据的 CMP 空间自相关分析
DOI：
10.1190/segam2015-5913708.1
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
T. Inazaki
中科院分区：
文献类型：
--
作者：
Koichi Hayashi;M. Craig;Takaho Kita;T. Inazaki
在本文中，我们证明了公共中点空间自相关（CMP-SPAC）分析多道被动面波给出准确的相速度曲线，使我们能够重建二维（2D）S波速度（VS）结构与横向非均匀环境。CMP-SPAC分析的记录几何结构与多道面波分析（MASW）的记录几何结构相似。记录十到二十分钟的垂直分量环境噪声，并将其分成几个块进行空间自相关（SPAC）分析。CMP-SPAC数据的处理包括四个步骤：首先，在每个环境噪声块中计算每对接收器的SPAC道。其次，在频域中对所有块上的SPAC道进行平均，并将具有共同中点的SPAC道分类为CMP-SPAC道集。第三，频散曲线计算从每个CMP-SPAC道集通过比较观察到的相干性与理论贝塞尔函数。最后，通过非线性最小二乘反演重建二维VS截面。将该方法应用于实际资料，并与活动面波资料进行了比较。利用被动面波资料进行CMP-SPAC分析的结果与利用主动面波资料进行共中心点互相关（CMPCC）分析的结果基本一致。这表明在许多情况下，表面波数据采集方法不需要有源源。使用CMP-SPAC方法与被动数据有可能大大提高表面波方法的效率和适用性。
In this paper, we demonstrate that common midpoint spatial autocorrelation (CMP-SPAC) analysis of multichannel passive surface waves gives accurate phasevelocity curves, and enable us to reconstruct twodimensional (2D) S-wave velocity (VS) structures with in laterally heterogeneous environment. Recording geometry for CMP-SPAC analysis is similar to that used for multichannel analysis of surface waves (MASW). Ten to twenty minutes of vertical component ambient noise is recorded and divided into several blocks for spatial autocorrelation (SPAC) analysis. Processing of CMP-SPAC data consists of four steps: First, SPAC traces are calculated for every pair of receivers in each ambient noise block. Second, the SPAC traces are averaged over all blocks in the frequency domain and the SPAC traces having a common mid-point are sorted into CMP-SPAC gathers. Third, dispersion curves are calculated from each CMP-SPAC gather by comparing observed coherences with theoretical Bessel functions. Finally, a 2D VS section is reconstructed through non-linear least squares inversion. The method was applied to actual field data and compared with active surface wave data. The results from CMP-SPAC analysis using passive surface wave data are almost identical to those from common midpoint cross-correlation (CMPCC) analysis using active surface wave data. This suggests that active sources are not needed for surface wave data acquisition methods in many cases. The use of the CMP-SPAC method with passive data has the potential to greatly improve the efficiency and applicability of surface wave methods.
SPAC、2sSPAC和线阵方法的稳定性实验
DOI：
--
发表时间：
2007
期刊：
影响因子：
--
作者：
Sos Margaryan;Toshiaki Ybkoi
通讯作者：
Toshiaki Ybkoi