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Seismic Reflection: Processing and Interpretation. Katie Wooddell UW Madison. Objectives. Develop a velocity model of the Santa Fe River Canyon to aid in structure interpretation Use predictive deconvolution to remove multiple reflections from the data . Processing Steps. Processing Steps.

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Presentation Transcript
objectives
Objectives
  • Develop a velocity model of the Santa Fe River Canyon to aid in structure interpretation
  • Use predictive deconvolution to remove multiple reflections from the data
killing traces
Killing Traces
  • Vibroseis signal had to be eliminated
  • Channels showing large amounts of noise were deleted
predictive deconvolution
Predictive Deconvolution

What does it do?

Clears seismic data by predicting and eliminating multiple reflections

How does it work?

A filter is designed that recognizes and eliminates repetitions in the signal

to conceptualize
To Conceptualize. . .

INPUT

OUTPUT

FILTER

=

*

deconvolution results
Deconvolution Results

Location 109

Location 109

Time (ms)

Time (ms)

NO DECONVOLUTION

DECONVOLVED

butterworth filter
Butterworth Filter
  • Bandpass Filter
  • Passes frequencies in the range of the vibroseis sweep (30-300 Hz)
  • Effective in eliminating the noise amplified during predictive deconvolution
butterworth filtering
Butterworth Filtering

Location 109

Location 109

Time (ms)

Time (ms)

No Filter

Butterworth Filter

nmo correction
NMO Correction
  • NMO corrects for the delay in first arrival times
  • NMO shifts the arrival times according to a specific stacking velocity
  • This is an important step in the velocity analysis
velocity analysis
Velocity Analysis
  • A Constant Velocity Analysis was conducted on both deconvolved and non-deconvolved data
  • The following NMO stacking velocities were run for each situation:

- 1000 m/s -1200 m/s

- 1400 m/s -1600 m/s

- 1800 m/s -2000 m/s

- 2200 m/s -2400 m/s

conclusions
Conclusions
  • Predictive deconvolution is an effective tool for eliminating multiples from seismic data
  • A combination of the 2000 m/s and the 1600 m/s constant velocity models seems to produce a high resolution model
  • This implies a higher average velocity medium on the east side of the fault, giving evidence that the normal La Bajada fault is being imaged
and a special thanks to
And a Special Thanks To. . .

The SAGE professors for their knowledge and patience

Team 5 for their hard work and some good times

Michelle Herrera, my Processing partner

Lauren Larkin, who was more enthusiastic about splicing together my seismic sections than I was