Rayleigh-wave multicomponent crosscorrelation-based source strength distribution inversions. Part 2: A workflow for field seismic data

被引：0
作者：
Xu Z. [1 ]
Dylan Mikesell T. [1 ]
Umlauft J. [2 ]
Gribler G. [1 ]
机构：
[1] Environmental Seismology Laboratory, Department of Geosciences, Boise State University, Boise, 83725, ID
[2] Institute of Geophysics and Geology, Leipzig University, Leipzig
来源：
Geophysical Journal International | 2021年 / 222卷 / 03期
基金：
美国国家科学基金会;
关键词：
Free oscillations; Seismic interferometry; Seismic noise; Surface waves; Waveform inversion;
D O I：
10.1093/GJI/GGAA284
中图分类号：
学科分类号：
摘要：
Estimation of ambient seismic source distributions (e.g. location and strength) can aid studies of seismic source mechanisms and subsurface structure investigations. One can invert for the ambient seismic (noise) source distribution by applying full-waveform inversion (FWI) theory to seismic (noise) crosscorrelations. This estimation method is especially applicable for seismic recordings without obvious body-wave arrivals. Data pre-processing procedures are needed before the inversion, but some pre-processing procedures commonly used in ambient noise tomography can bias the ambient (noise) source distribution estimation and should not be used in FWI. Taking this into account, we propose a complete workflow from the raw seismic noise recording through pre-processing procedures to the inversion. We present the workflow with a field data example in Hartoušov, Czech Republic, where the seismic sources are CO2 degassing areas at Earth’s surface (i.e. a fumarole or mofette). We discuss factors in the processing and inversion that can bias the estimations, such as inaccurate velocity model, anelasticity and array sensitivity. The proposed workflow can work for multicomponent data across different scales of field data. © The Author(s) 2020.
引用
收藏
页码：2084 / 2101
页数：17
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