moment tensor inversion in strongly heterogeneous media at pyhasalmi ore mine, finland václav...
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Moment Tensor Inversion in Strongly Heterogeneous Media
at Pyhasalmi Ore Mine, Finland
Václav Vavryčuk (Academy of Sciences of the CR)
Daniela Kühn (NORSAR)
Overview
• Introductiono Pyhäsalmi ore mine, Finlando P-wave polarity pattern
• Waveform modellingo 2-D modellingo 3-D modelling
• Homogeneous vs heterogeneous modelo P-wave polaritieso focal mechanisms
• Amplitude vs waveform inversiono selected datao comparison of resultso waveform fit
• Summary
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
• microseismic monitoring: since January 2003 safety of the underground personnel optimisation of mining process
• network: 12 1-C geophones
+ 6 3-C geophones (ISS)
3-D geometry sampling rate: < 3000 Hz
• events: 1500 events /months (including blasting) -2 < Mw < 1.5
Pyhäsalmi ore mine, Finland
owned by Inmet Mining Co.
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
- Down+Up
Earthquake source mechanisms
Focal solution:• shear fracture
Moment tensor:• + volume change
Full moment tensor
mathematical description:• pure double-couple
mathematical description:• nine force couples
isotropic
deviatoric
+
best double couple
CLVD+
Complex polarity pattern of P-wave first onset
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Waveform modelling
620 m
• E3D: viscoelastic 3-D FD code (Larsen and Grieger, 1998)• strong interaction with mining cavities: reflection,
scattering, conversion
Waveform modelling: 2D
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Waveform modelling: 3D
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
- complex waveforms
- strong coda
- complex secondary arrivals
- scattering effects stronger on amplitudes than travel times, since size of heterogeneities (cavities, access tunnels) same order or smaller than wavelengths
- arrival times computed by Eikonal solver still fit (wavefronts heal quickly after passing a cavitiy)
observed seismograms
Waveform modellingsynthetic seismograms
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Homogeneous & heterogeneous models
Geophone network (artificial)
.sourcelocation
source mechanisms
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Comparison 1-D/3-D
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Observed amplitudes
Retrieved source mechanism
Synthetic source mechanism
Moment tensor inversionfor a homogeneous model
ISO = 23 %DC = 37 %CLVD = 40 %
ISO = 0 %DC = 100 %CLVD = 0 %
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Moment tensor inversion: amplitudes versus waveforms
txgtmtxu kinnki ,,*,
Representation theorem:
xGMxU kinnki
,
Moment tensor inversion:
UGM g
point source
Amplitude inversion
tftstd *
Space and time factorization
tdxUtxu ii
,
tfxGtxg kinkin
,,,
tsMtm nknk
GMU matrix notation
generalized linear inversion
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
first maximum amplitude amplitude of the direct wave
Amplitude picking I
direct wave scattered wave
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
first maximum amplitude is not always the amplitude of the direct wave
Amplitude picking II
?
direct wave
waveform complexity(head wave?)
scattered waveIntroduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Representation theorem:
,,, xGmxu kinnki
mG ,, xxu
point source
frequency domain
Waveform inversion
in principle, the same inversion algorithm as for the amplitude inversion, but run repeatedly for many frequencies
time domain
Moment tensor inversion:
matrix notation
txGtmtxu kinnki ,,*,
,, xxg uGm generalized linear
inversion
tsMtm nknk
Time factorization:time-independent moment tensor
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Amplitude inversion:
• homogeneous model of the medium
• Green’s functions calculated using ray theory
• inversion of P-wave amplitudes (20-30 amplitudes)
• frequencies: 250-500 Hz
Waveform inversion:
• 3-D heterogeneous model of the medium
• Green’s functions calculated using the FD code
• inversion of full waveforms (15-20 waveforms)
• frequencies: 50-150 Hz
Amplitude vs. waveform inversion
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
5
17
12
26
Events near cavity: no. 5 no. 17
Events near ore body/host rock transition: no. 12 no. 26
Selected events
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
ch 22
ch 21
ch 15
ch 14 ch 8
ch 7ch 3
ch 2 ch 30
Complex waveforms, strong reflections, difficulty to identify the S wave (in some cases)
Event 12: data
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
amplitude inversion P-wave inversion full wave inversionevent no.
5
12
17
26
ORE
BODY
CAVITY
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
amplitude inversion P-wave inversionevent no.
ORE
BODY
CAVITY
5
12
17
26
full wave inversion
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
amplitude inversion P-wave inversionevent no.
ORE
BODY
CAVITY
5
12
17
26
full wave inversion
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
first rupture second rupture
strike = 105ºdip = 91ºrake = -75ºDC = 38%CLVD = -14%ISO = -48%
strike =90ºdip = 87ºrake = -121ºDC = 24%CLVD = -42%ISO = -34%
Event 17: two rupturesP-wave inversion:
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Event 17: waveform fit
GOOD FIT!ch 7
ch 12
ch 20 ch 21 ch 22
ch 30
ch 11
ch 29ch 28
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Event 17: waveform fitAmplitude misfit
ch 5ch 4ch 3
ch 10ch 8 ch 9
ch 16ch 15
ch 24
ch 14
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Event 17: waveform fit
Phase misfitch 2 ch 13 ch 23
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
structural model in mines usually is very complex
large and abrupt changes in velocity at cavities
the model varies in time
Summary I
earthquake source is complex (single forces, non-DC components, complex source history)
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
inversion in a homogeneous model may lead to:
• incorrect mechanism
• spurious non-DC
Summary II
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
radiated wave field is complex (reflected, converted, scattered waves, head waves)
Amplitude inversion:• simple approach
• limited applicability (simple Green’s functions are not adequate)
• no control on frequency bands
• amplitudes can be wrongly interpreted
Full waveform inversion:• complex Green’s functions can be calculated by 3-D FD codes
• accurate model needed!
• sensitive to time shifts due to mislocation or due to inaccurate model
• frequency band of inverted waves can be easily controlled
• inversion from P-wave only seems to be more reliable than from the whole seismogram (due to multiple scattering)
• promising but computationally demanding and laborious
Summary III
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary
Thank you!
Complexity of velocity model
Introduction
Waveform modelling
1D/3Dmodels
Moment tensor
inversion
Summary