AASPI Overview of AASPI accomplishments and software development

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

AASPI 2015 Sponsors 2

OU AASPI Team • Kurt Marfurt (OU faculty) • Marcilio Matos (co-conspirator in Brazil) • Bo Zhang (co-conspirator at Univ. Alabama) • Brad Wallet • 13 Ph. D. candidates • 7 M. S. candidates • 2 B. S. candidates 3

AASPI Software Package What’s new? Reworked software layout 4

AASPI Software Package What’s new? More Flexible Parallelization x s Linu a l l e as w dows n i W n orks i This w Node name and number of processors “Load Sharing Facility” Batch Submission “Portable Batch System” Batch Submission 5

AASPI Software Package The curse of too many processors Parallelize over 1257 CDPs 6

The curse of too many processors We don’t hog processors we can not efficiently use Run under LSF A 1000 processor system Locally optimum choices 7

Significant Advances in 2015 Seismic Facies Classification • gtm 3 d - Generative Topographic Maps • som 3 d - Self Organizing Maps • pca 3 d - Principal component analysis • kmeans 3 d – Simple Mahalanobis distance clustering • psvm 3 d – Proximal support vector machine clustering All codes run in parallel All codes run between user-defined horizons 8 Seismic Facies Classification • aaspi_plot - User definition of target facies (training) • kuwahara 3 d – Attribute conditioning prior to clustering • fault-enhancement – Fault sharpening and smoothing

Significant Advances in 2015 Release of workflows • Multiple iterations of poststack structure-oriented filtering • Prestack data conditioning • 3 D patch-based coherent noise suppression Computation of attributes on depth-migrated volumes • Dip compensation of spectral components • Depth-adaptive analysis window size • Quantification of what constitutes discontinuity signal and what constitutes discontinuity noise 9 Documentation of pitfalls in attribute computation • On time- vs. depth-migrated data volumes • Due to ground roll leakage into migration stack array • Due to errors in velocity analysis

Continuous Improvement Footprint Suppression • Application of Laplacian of Gaussian to kx-ky spectra to better separate footprint anomalies • Development of a 2 D CWT algorithm that may provide improved footprint adaptability Spectral Decomposition • Generalization to analyze prestack data volumes • Reprogramming to minimize need for data synchronization Q estimation • Evaluation of alternative Q estimation algorithms • Explicit analysis of formation estimation 10

2015 Graduates Student Degree Date Employer Sumit Verma Ph. D. August 2015 Post Doc Univ. Wyoming Marcus Cahoj M, S, July 2015 BHPB Lanre Aboaba M. S. December 2014 To Ph. D at U. Arkansas Ian Stark M. S. June 2015 Chesapeake Rachel Petit M. S. March 2015 Star Geophysical Joshua Hardesty M. S. August 2015 Noble Energy 11

New Faces 12 Student Degree Sought Previously at… Lennon Infante Ph. D. Geology at OU Megan Gunther M, S, Geophysics at Texas A&M Bin Lyu Ph. D. 5 years at CNPC Yin Zhang Ph. D. Geophysics, U. Tulsa Bob Hardisty M. S. Geophysics at OU Murphy Cassel B. S. Elizabeth da Silva B. S.

Agenda 13 Time Activity 8: 00 -9: 00 CONTINENTAL BREAKFAST 9: 00 -10: 00 Poster Break 10: 00 -11: 45 Presentations 12: 10 -13: 00 LUNCH 13: 00 -14: 15 Presentations 14: 15 -15: 45 Poster Break 15: 45 -17: 00 Presentations 17: 00 -19: 00 WINE, BEER, CHEESE AND FEEDBACK