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Interferometric Multiple Migration of UPRC Data
Jianhua Yu University of Utah
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Outline Motivation and Objective Interferometric Migration: Crosscorrelogram migration Autocorrelogram migration Examples Synthetic Data UPRC data Summary
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Outline Motivation and Objective Interferometric Migration: Crosscorrelogram migration Autocorrelogram migration Examples Synthetic Data UPRC data Summary
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IVSPWD Objective ? Provide Look-ahead Image Below Drill Bit
Reduce Uncertainty in Drilling ?
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Problem Deviated Well No Source Wavelet No Source Initiation Time
Not Easy to Get Pilot Signal in Deviated Well
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Solution Interferometric Migration No need to know source wavelet
No need to know source location No need to know initial time No limits to deviated well
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Outline. Motivation and Objective. Interferometric Migration. Examples
Outline Motivation and Objective Interferometric Migration Examples Summary
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. Crosscorrelogram migration . Autocorrelogram migration
Interferometric Migration . Crosscorrelogram migration Autocorrelogram migration
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Primary, Ghost and Direct Wave
Well Receiver Ghost Direct Wave Primary Drill bit Primary, Ghost and Direct Wave
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Free-surface related Ghost Travel Time
x
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Ghost Imaging Condition After Correlation of Traces:
x g s g’ Condition: recording data have to be dense !!
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Crosscorrelogram Ghost Imaging Condition:
x g s g’
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Crosscorrelogram Migration
Migrated Image Crosscorrelation Function
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. Crosscorrelogram migration . Autocorrelogram migration
Interferometric Migration . Crosscorrelogram migration Autocorrelogram migration
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Free-surface related Ghost Travel time:
x
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Autocorrelogram Ghost Imaging Condition:
x
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Autocorrelogram Migration
Migrated Image Autocorrelation Function
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Outline. Motivation and Objective. Autocorrelogram Migration Method
Outline Motivation and Objective Autocorrelogram Migration Method Examples Summary
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Geological Model X (m) 4 V1 V2 Depth (m) V3 V4 V5 V6 3
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Velocity Model X(km) X(km) 0 4 0 4 Depth(km) 3 3 Interval Velocity
3.5 3.5 Depth(km) 2.0 2.0 3 3 Interval Velocity RMS Velocity
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Shot Gather and Crosscorrelogram
Traces Traces Time (s) Time (s) 4 4 CSG 10 and Master trace at 80
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Shot Gather and Autocorrelogram
Traces Traces Time (s) Time (s) 4 4 CSG 10
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Crosscorrelogram Migration Results
X (km) X (km) Time (s) 2.2 With primary Without primary
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Autocorrelogram Migration Results
X (km) X (km) Time (s) 2.2 With primary Without primary
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Acquisition Survey East (kft) North (kft) 3C Receivers Depth (kft) 4.5
4.5 Drill bit North (kft) Well Rig 3C Receivers -5 Depth (kft) 10
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Main Acquisition Parameters
Drill-bit Depth: ft Offset Range: ft Recording Length: 20 s Sample Interval: ms Station Number:
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Drill-bit Data of CSG #96 Trace Number Time (s) 7
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Main Processing Steps Frequency panel analysis and noise elimination
Trace editing and static shift Frequency panel analysis and noise elimination Amplitude balance and energy normalization Velocity analysis Calculating cross- and autocorrelograms, vertical stacking Cross- and Autocorelogram migration
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Frequency Panel Analysis
Time (s) Time (s) 7 7 5-15 Hz < 5 Hz
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Frequency Panel Analysis
Time (s) Time (s) 7 7 25-40 Hz 15-25 Hz
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Processed CSG 96 Part of CRG 6
0.5 Time (s) Time (s) 7 4.5
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Crosscorrelogram of CSG 96
Trace No. Time (s) 4 8 s 12 s 16 s
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Autocorrelogram of CSG 96
Time (s) 4 8 s 12 s 16 s
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Autocorrlogram Migration Images
Traces Traces 1 50 1 50 0.5 Time (s) 3.2 Window = 8 s Window=12 s
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Crosscorrlogram Migration Images
Traces Traces 1 50 1 50 0.5 Time (s) 3.2 Window = 8 s Window=12 s
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Acquisition Survey Map
Well Rig Line AC4 North (ft) Drill bit 3C Receivers -5000 1500 3000 4500 East (ft)
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Autocorrelation Ghost Image(Corr. Window=8 s)
SP 1255 1235 1215 1.0 Drilling hole Time (s) 2.0 3.0 Autocorrelation Ghost Image(Corr. Window=8 s)
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Crosscorrelation Ghost Image ( Corr. Window 12 s)
SP 1255 1235 1215 1.0 Drilling hole Time (s) 2.0 3.0 Crosscorrelation Ghost Image ( Corr. Window 12 s)
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Outline . Objective . Autocorrelogram Migration . Examples . Summary
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SUMMARY Crosscorr. and autocorrelogram migration works for deviated well All result are comparable to surface-CDP section No source position is needed for crosscorrelogram migration Dense recording data is necessary for crosscorrelation migration to get good quality image
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SUMMARY Difficulty of separating upgoing and downgoing wave can cause artifacts in migration image
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What’s Next Improve the method’s efficiency for real-time purpose
Reduced the virtual multiple and other wave’s influence Integrated migration image of both borehole data and CDP data
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Acknowledgements I greatly appreciate Union Pacific Resources for donating this data I am grateful to the 2000 sponsors of the UTAM consortium for financial support I also thank all of people who give me some suggestions and help for this work
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