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Seismic Reflection: Processing and Interpretation






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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.
Seismic Reflection: Processing and Interpretation

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Seismic reflection processing and interpretation l.jpgSlide 1

Seismic Reflection:Processing and Interpretation

Katie Wooddell

UW Madison

Objectives l.jpgSlide 2

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 l.jpgSlide 3

Processing Steps

Processing steps4 l.jpgSlide 4

Processing Steps

Defining geometry l.jpgSlide 5

Defining Geometry

Processing steps6 l.jpgSlide 6

Processing Steps

Killing traces l.jpgSlide 7

Killing Traces

  • Vibroseis signal had to be eliminated

  • Channels showing large amounts of noise were deleted

Processing steps8 l.jpgSlide 8

Processing Steps

Predictive deconvolution l.jpgSlide 9

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

Deconvolution equation l.jpgSlide 10

Deconvolution Equation

Robertson 1998

To conceptualize l.jpgSlide 11

To Conceptualize. . .

INPUT

OUTPUT

FILTER

=

*

Deconvolution results l.jpgSlide 12

Deconvolution Results

Location 109

Location 109

Time (ms)

Time (ms)

NO DECONVOLUTION

DECONVOLVED

Processing steps13 l.jpgSlide 13

Processing Steps

Butterworth filter l.jpgSlide 14

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 l.jpgSlide 15

Butterworth Filtering

Location 109

Location 109

Time (ms)

Time (ms)

No Filter

Butterworth Filter

Processing steps16 l.jpgSlide 16

Processing Steps

Processing steps17 l.jpgSlide 17

Processing Steps

Nmo correction l.jpgSlide 18

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

Processing steps19 l.jpgSlide 19

Processing Steps

Velocity analysis l.jpgSlide 20

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 l.jpgSlide 21

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 l.jpgSlide 22

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


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