2
Full-waveform inversion for signal enhancement of seismic phases Maria Koroni and Andreas Fichtner, Department of Earth Sciences, ETH Zürich; [email protected] INTRODUCTION A frequently encountered problem in seismology is dealing with weak wave phases which are oftentimes below noise levels. In many seismic tomographic problems there is need to use various body waves simultaneously in order to make the most out of the waveforms and extract information about earth structure at various depths and scales. However, the quality of recorded waveforms largely varies depending on the instrument but mainly on complex wave effects that can decrease the amplitude of a desired phase and place it below noise levels. Our study aims at deploying linear stacking techniques to develop a misfit measurement that is appropriate for full- waveform inversion (FWI). Comparison is performed between two numerical Earth mantle models that cause waveform difference at specific low amplitude precursor phases, which represents an ideal test case. 2100 2200 2300 2400 2500 2600 2700 2800 -6 -4 -2 0 2 4 6 8 10 -4 SS S410S S660S V SH volumetric kernels for traveltime in shown windows CREATING STACKS- 1-D ‘Observed stack’ with topography ‘Synthetic stack’ without topography tau_i: time shifts for each seismogram wrt the reference phase-used to align recordings METHOD Calculation of synthetic seismograms o SPECFEM3D synthetic seismograms. o Synthetics are calculated in 1-D mantle velocity model o ‘410’ and ‘660’ discontinuity topography is added. o Compare the effect of topo on the difference between stacked waveforms for each model Calculation of time shifts: o Select a receiver in the mid of the array as reference and align the other recordings to SS phase o Stick to 1-D models for both the waveform stacking and kernel calculations. dlnV SH /V SH Boundary kernels remain characteristic for SS precursors! Structure on the surface is detectable although not accentuated with stacking S410S d410 S660S d660 u obs ( t ) = 1 Nr u o ( x r i , t τ i ) i = 1 Nr u syn ( t ) = 1 Nr u ( x r i , t τ i ) i = 1 Nr THOUGHTS & OUTLOOK ² Weak phases of precursors remain weak when stacking wrt SS phase- shown on traveltime kernels with windows selected on the stack, however their boundary sensitivity remains high. ² Stack wrt the phase needed to be enhanced, check whether other phases show less important sensitivity. ² Add noise to synthetics to establish the essentiality of our methodology & promote constructive interference of desired phase(s).

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Page 1: Full-waveform inversion for signal enhancement of seismic ...€¦ · Full-waveform inversion for signal enhancement of seismic phases Maria Koroni and Andreas Fichtner, Department

Partners

Full-waveform inversion for signal enhancement of seismic phases Maria Koroni and Andreas Fichtner, Department of Earth Sciences, ETH Zürich; [email protected]

INTRODUCTION

A frequently encountered problem in seismology is dealing with weak wave phases which are oftentimes below noise

levels. In many seismic tomographic problems there is need to use various body waves simultaneously in order to make the

most out of the waveforms and extract information about earth structure at various depths and scales. However, the quality of

recorded waveforms largely varies depending on the instrument but mainly on complex wave effects that can

decrease the amplitude of a desired phase and place it below noise levels.

Our study aims at deploying linear stacking techniques to develop a misfit measurement that is appropriate for full-

waveform inversion (FWI). Comparison is performed between two numerical Earth mantle models that cause waveform

difference at specific low amplitude precursor phases, which represents an ideal test case.

2100 2200 2300 2400 2500 2600 2700 2800-6

-4

-2

0

2

4

6

8 10-4

SS

S410S S660S

VSH volumetric kernels for traveltime in shown windows

CREATING STACKS- 1-D ‘Observed stack’ with topography ‘Synthetic stack’ without topography tau_i: time shifts for each seismogram wrt the reference phase-used to align recordings

COMMENTS/OUTLOOK

METHOD Calculation of synthetic seismograms o  SPECFEM3D synthetic seismograms. o  Synthetics are calculated in 1-D mantle velocity model o  ‘410’ and ‘660’ discontinuity topography is added. o  Compare the effect of topo on the difference between

stacked waveforms for each model Calculation of time shifts: o  Select a receiver in the mid of the array as reference and

align the other recordings to SS phase o  Stick to 1-D models for both the waveform stacking and

kernel calculations.

dlnVS

H /VS

H

Boundary kernels remain characteristic for SS precursors! Structure on the surface is detectable

although not accentuated with stacking

S410S d410 S660S

d660

uobs (t) = 1Nr

uo (xri ,t −τ i )i=1

Nr

usyn (t) = 1Nr

u(xri ,t −τ i )i=1

Nr

THOUGHTS & OUTLOOK

² Weak phases of precursors remain weak when stacking wrt SS phase- shown on traveltime kernels with windows selected

on the stack, however their boundary sensitivity remains high.

² Stack wrt the phase needed to be enhanced, check whether other phases

show less important sensitivity.

² Add noise to synthetics to establish the essentiality of our methodology & promote

constructive interference of desired phase(s).

Page 2: Full-waveform inversion for signal enhancement of seismic ...€¦ · Full-waveform inversion for signal enhancement of seismic phases Maria Koroni and Andreas Fichtner, Department

Partners

Full-waveform inversion for signal enhancement of seismic phases Maria Koroni and Andreas Fichtner, Department of Earth Sciences, ETH Zürich; [email protected]

FICTITIOUS ARRAY

Red star represents an earthquake event used for the numerical modelling.

Purple diamonds show the stations

recording the event. Epicentral distances range between 110-160 degrees.

Red circle at ~150 degrees shows the

reference station whose recording has been used to align and sum the rest of the

seismograms.

Event180−Stations

Ideally, with our study, we would like to optimise the usage of data from not necessarily dense arrays, but rather develop kernel stacks which can enhance desired signals from many stations located far apart.