Seismic Reflection Ground Roll Filtering PowerPoint PPT Presentation

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Title: Seismic Reflection Ground Roll Filtering


1
Seismic Reflection Ground Roll Filtering
  • Ted Bertrand
  • SAGE 2004

2
Geology
  • Basalt is visible in scarp, capped by alluvium
    and underlain by SF group

Structure
  • Fault scarp is visibly eroded
  • Most likely multiple faults exist, and possibly
    growth faults
  • Need Geophysics!

3
Seismic Reflection
  • 2km profile shot across strike of fault scarp
  • Vibroseis sweep of 20-120Hz was shot at 5m
    increments along the line
  • 60 channels each stacking 5 geophones recorded
    seismic energy for 3s
  • RTK GPS coordinates were measured at 50m
    intervals and input into seismic processing
    software

4
Ground Roll
  • Vibroseis generates 3 types of seismic (pressure)
    waves
  • Air waves
  • Body waves
  • Surface waves
  • Surface waves are characterized by
  • Low velocity
  • Low frequency
  • High amplitude

5
Ground Roll
  • Common problem
  • To remove
  • Stacking
  • Muting
  • F-k filtering
  • Frequency Filtering

6
Raw Data CMP Stack
  • Only coherent signals sum during CMP stacking
    after NMO correction is applied
  • Surface waves have relatively low velocity
    (600m/s) and are not hyperbolic.
  • Therefore, stacking CMP data using reflection
    velocities to apply an NMO correction should
    attenuate surface waves

7
Raw Data CMP Stack
8
Surgical Muting
  • Surface waves can also be removed from the data
    by removing them from the data!
  • Disadvantage any coherent signal hidden beneath
    the surface waves is lost.

9
Muted CMP Stack
10
Frequency Filtering
  • A 40Hz 120Hz Butterworth bandpass filter was
    applied to eliminate low frequency ground roll
    waves
  • Disadvantage May limit our ability to image
    deeper layers

11
40-120 Hz BP CMP Stack
12
La Bajada Reflection Profile
13
Conclusions
  • Bandpass filtering was the most effective method
    for eliminating ground roll
  • A faint reflector at 100m corresponds well with
    WT depth from electrical methods
  • Location of the fault agrees well with a strong
    gravity gradient, as well as estimates from
    seismic refraction and EM methods
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