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Interferometric Multiple Migration of UPRC Data

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Presentation on theme: "Interferometric Multiple Migration of UPRC Data"— Presentation transcript:

1 Interferometric Multiple Migration of UPRC Data
Jianhua Yu University of Utah

2 Outline  Motivation and Objective  Interferometric Migration: Crosscorrelogram migration Autocorrelogram migration  Examples Synthetic Data UPRC data  Summary

3 Outline Motivation and Objective  Interferometric Migration: Crosscorrelogram migration Autocorrelogram migration  Examples Synthetic Data UPRC data  Summary

4 IVSPWD Objective ?  Provide Look-ahead Image Below Drill Bit
 Reduce Uncertainty in Drilling ?

5 Problem Deviated Well  No Source Wavelet  No Source Initiation Time
 Not Easy to Get Pilot Signal in Deviated Well

6 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

7 Outline. Motivation and Objective. Interferometric Migration. Examples
Outline Motivation and Objective Interferometric Migration Examples Summary

8 . Crosscorrelogram migration . Autocorrelogram migration
Interferometric Migration . Crosscorrelogram migration Autocorrelogram migration

9 Primary, Ghost and Direct Wave
Well Receiver Ghost Direct Wave Primary Drill bit Primary, Ghost and Direct Wave

10 Free-surface related Ghost Travel Time
x

11 Ghost Imaging Condition After Correlation of Traces:
x g s g’ Condition: recording data have to be dense !!

12 Crosscorrelogram Ghost Imaging Condition:
x g s g’

13 Crosscorrelogram Migration
Migrated Image Crosscorrelation Function

14 . Crosscorrelogram migration . Autocorrelogram migration
Interferometric Migration . Crosscorrelogram migration Autocorrelogram migration

15 Free-surface related Ghost Travel time:
x

16 Autocorrelogram Ghost Imaging Condition:
x

17 Autocorrelogram Migration
Migrated Image Autocorrelation Function

18 Outline. Motivation and Objective. Autocorrelogram Migration Method
Outline Motivation and Objective Autocorrelogram Migration Method Examples Summary

19 Geological Model X (m) 4 V1 V2 Depth (m) V3 V4 V5 V6 3

20 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

21 Shot Gather and Crosscorrelogram
Traces Traces Time (s) Time (s) 4 4 CSG 10 and Master trace at 80

22 Shot Gather and Autocorrelogram
Traces Traces Time (s) Time (s) 4 4 CSG 10

23 Crosscorrelogram Migration Results
X (km) X (km) Time (s) 2.2 With primary Without primary

24 Autocorrelogram Migration Results
X (km) X (km) Time (s) 2.2 With primary Without primary

25 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

26 Main Acquisition Parameters
Drill-bit Depth: ft Offset Range: ft Recording Length: 20 s Sample Interval: ms Station Number:

27 Drill-bit Data of CSG #96 Trace Number Time (s) 7

28 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

29 Frequency Panel Analysis
Time (s) Time (s) 7 7 5-15 Hz < 5 Hz

30 Frequency Panel Analysis
Time (s) Time (s) 7 7 25-40 Hz 15-25 Hz

31 Processed CSG 96 Part of CRG 6
0.5 Time (s) Time (s) 7 4.5

32 Crosscorrelogram of CSG 96
Trace No. Time (s) 4 8 s 12 s 16 s

33 Autocorrelogram of CSG 96
Time (s) 4 8 s 12 s 16 s

34 Autocorrlogram Migration Images
Traces Traces 1 50 1 50 0.5 Time (s) 3.2 Window = 8 s Window=12 s

35 Crosscorrlogram Migration Images
Traces Traces 1 50 1 50 0.5 Time (s) 3.2 Window = 8 s Window=12 s

36 Acquisition Survey Map
Well Rig Line AC4 North (ft) Drill bit 3C Receivers -5000 1500 3000 4500 East (ft)

37 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)

38 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)

39 Outline . Objective . Autocorrelogram Migration . Examples . Summary

40 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

41 SUMMARY Difficulty of separating upgoing and downgoing wave can cause artifacts in migration image

42 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

43 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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