1. Overview of AASPI accomplishments and software development Kurt J. Marfurt Kurt J. Marfurt Attribute-Assisted Seismic Processing and Interpretation AASPI 1

2. AASPI 2014 Sponsors 2

3. 3 OU AASPI Team Kurt Marfurt and Jamie Rich (OU faculty) Kurt Marfurt and Jamie Rich (OU faculty) Vikram Jayaram (formerly OK Geological Survey) Vikram Jayaram (formerly OK Geological Survey) Marcilio Matos (co-conspirator in Brazil) Marcilio Matos (co-conspirator in Brazil) Bo Zhang (co-conspirator at Michigan Tech) Bo Zhang (co-conspirator at Michigan Tech) Brad Wallet (formerly SLB) Brad Wallet (formerly SLB) Deshaun Chang (BGP visiting scholar) Deshaun Chang (BGP visiting scholar) Huailai Zhou (U. Chengdu visiting scholar) Huailai Zhou (U. Chengdu visiting scholar) Lanbin Li (visiting scholar) Lanbin Li (China U. of Geosc. Wuhan visiting scholar) 8 Ph.D. candidates 8 Ph.D. candidates 7 M.S. candidates 7 M.S. candidates

4. 4 2014: runs on Windows! AASPI Software Package

5. 5 Volumetric Attributes Volumetric Attributes geometric attributes geometric attributes spectral decomposition spectral decomposition GLCM texture and disorder attributes GLCM texture and disorder attributes Prestack and Poststack Data Conditioning Prestack and Poststack Data Conditioning pre- and post-stack structure-oriented filtering pre- and post-stack structure-oriented filtering residual velocity analysis residual velocity analysis non-stretch NMO non-stretch NMO footprint suppression footprint suppression acquisition patch-based coherent noise suppression acquisition patch-based coherent noise suppression preconditioned least-squares time migration preconditioned least-squares time migration Laplacian of Gaussian fault plane enhancement Laplacian of Gaussian fault plane enhancement

6. 6 AASPI Software Package Correlation tools Correlation tools Azimuthal intensity (“fault proximity”) Azimuthal intensity (“fault proximity”) Vector correlation Vector correlation Prestack Analysis tools Prestack Analysis tools AVAz AVAz Cluster Analysis Cluster Analysis Self-organizing maps Self-organizing maps Generative topological maps Generative topological maps Principal component analysis Principal component analysis Support vector machines Support vector machines Polygonal cluster selection in histogram (SOM) Polygonal cluster selection in histogram (SOM)

7. 7 AASPI Software Package Sponsors have full source code Sponsors have full source code Data formats are the same as Stanford’s SEPLib and Data formats are the same as Stanford’s SEPLib and UT Austin/CSM’s Madagascar UT Austin/CSM’s Madagascar Documentation online and accessible from the program. Continue to add details and examples Documentation online and accessible from the program. Continue to add details and examples Same applications, GUIs, and scripts run on Linux and Windows Same applications, GUIs, and scripts run on Linux and Windows Computationally intensive algorithm parallelized, running on multi threaded Windows PCs and across Linux clusters. (One sponsor runs across Windows PCs) Computationally intensive algorithm parallelized, running on multi threaded Windows PCs and across Linux clusters. (One sponsor runs across Windows PCs)

8. mcee.ou.edu/aas pi documentation 8

9. Most applications have a flow chart 9

10. Many applications now have gray “Theory” boxes 10

11. Followed by instructions defining parameters and how to complete the GUI 11

12. These are followed by references and examples 12

13. 2014 Graduates 13 StudentDegreeDateEmployer Onur MutluM.S.August 2014TPAO Bo ZhangPh.D.July 2014Michigan Tech Institute Shiguang GuoPh.D.September 2014Schlumberger Daniel TrumboM.S.May 2014Crawley Petroleum Tengfei LinM.S. May 2014new PhD candidate Thang HaM.S.October 2014new PhD candidate

14. 14 Snapshot of some recent software releases and workflows

15. Fault Karst Uncon f Karst Pinchout Grooves N 0 1 Time (s) 1 mi Azimuth of Reflector Convergence modulated by its Magnitude co-rendered with Variance and Amplitude 0 0.004 0 100 Opacity (%) Conv Mag 0.0 0.2 0.5 0 100 Opacity (%) Variance 0.1 0.3 0.4 -2500 0 +2500 0 100 Opacity (%) Amp N S E W Conv Mag -180 0 +180 Opacity (%) 10 0 0 Converge Azim (degrees) Multiattribute Display

16. Figure 64. Pre-stack Z P impedance along Mississippi horizon shown with well bores and cumulative oil production from the Mississippi Lime posted as green circles at the top of the well bore. Amplitude (grayscale) shown in cross-line and inline. Magnitude of oil production is directly related to the size of the circle. Z P (g-ft/cm 3 -s) 60000 40000 Grayscale Amplitude 1 Correlation of production to seismic attributes: Miss. Lime Kay Co., OK

17. Correlation of AVAz and curvature? 17 Top Miss Lime Osage Co., OK AVAz k1k1 Vector correlation Data courtesy of Spyglass LLC

18. Seismic Attributes Pop-up structure (1:1 scale) 1 km Time(ms) -500- -1000- -1500- -2000- Am p pos ne g -2250- -750- -1750- D’D k1k1 0.4 -0.4 0.4 -0.4 k2k2 Fault k2 k1 k2 k1 28 Why is coherence so discontinuous?

19. Wave equation modeling of pop-up structure (turbidites) (Carbonates and shales) (marine shales) Fault throw: 25 m 32

20. Wave equation modeling of pop-up structure t= 0.5st= 0.7s 34

21. Multiple Reflection 33 Wave equation modeling of pop-up structure k2 k1 k2 k1

22. Figure 1a. … (1,9) trace, 9 x 9 covariance matrix k k+1 k+2 k-1 k-2 time Inline crossline slice d k Poststack structure-oriented filtereing

23. Figure 1b. 9 x 9 covariance matrix PCA= α v 1 “eigenmap” v 1 Obtain α by cross correlating with slice d k Poststack structure-oriented filtereing

24. Figure 2a. 27 x 27 covariance matrix 27) … (1, trace, … offset m-1 k k+1 k+2 k-1 k-2 time Inline crossline slice d k offset moffset m+1 Prestack structure-oriented filtereing

25. Figure 2b. PCA= α v 1 “eigenmap” v 1 to obtain the signal component for slice d k Obtain α by cross correlating with slice d k 27 x 27 covariance matrix Poststack structure-oriented filtereing

26. Structure oriented filtered gathers Migrated seismic gathers Build sample vectors for offset m at analysis index k along local reflector’s orientation Is there a significant discontinuity at analysis index k? Yes No Obtain filtered amplitude using “eigenmap” Stacking Estimate the reflectors orientation Stacked Volume Coherence Inline dip Crossline dip Estimate the discontinuity More traces or samples Yes No

27. t 0 (s) Offset - x(m) 021004200 0.5 1.0 2.0 1.5 0.0 -4 -2 0 4 2 Amp Figure 4a. Time-migrated gather (Barnett Shale)

28. t 0 (s) Offset - x(m) 021004200 0.5 1.0 2.0 1.5 0.0 -4 -2 0 4 2 Amp Figure 4b. After prestack SOF

29. t 0 (s) Offset - x(m) 021004200 0.5 1.0 2.0 1.5 0.0 0 1 Amp Figure 4c. Rejected noise

30. TimePresenter 8:00-9:00CONTINENTAL BREAKFAST 9:00-10:00POSTERS 10:00-11:45Presentations 12:10-13:00LUNCH 13:00-14:15Presentations 14:15-15:45POSTER BREAK 15:45-17:00Presentations 17:00-19:00 WINE, BEER, CHEESE AND FEEDBACK Agenda 30