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4. Spectral Decomposition

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Presentation on theme: "4. Spectral Decomposition"— Presentation transcript:

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

2 AASPI Welcome 2012 AASPI 2016 Sponsors

3 OU AASPI Team Kurt Marfurt (OU faculty)
Marcilio Matos (co-conspirator in Brazil) Bo Zhang (co-conspirator at Univ. Alabama) Brad Wallet 14 Ph.D. candidates 8 M.S. candidates

4 New insights into coherence
What gives rise to the stair-step artifacts? What is the effect of bandpass filtering the input data? How can we combine multiple coherence images into one? Since Nov. 18, 2016, I’ve expanded this short overview at our meeting into a separate presentation containing more details

5 2016 Graduates Student Degree Date Employer Tengfei Lin Ph.D.
October 2016 CNPC Bryce Hutchinson M,S, May 2016 Nobel Energy Joseph Snyder M.S. To PhD? Stephanie Cook January 2016 Chesapeake Trey Stearns Schlumberger Rae Jacobsen PhD with John Pigott (OU)

6 New Faces Student Degree Sought Previously at… Bob Hardesty M.S.
AASPI Welcome 2012 New Faces Student Degree Sought Previously at… Bob Hardesty M.S. Geophysics at OU Murphy Cassel Saurabh Sinha Ph.D. M.S. in Petroleum Eng, OU Swetal Patel Rafael Pires de Lima M.S., then Ph.D. Brazilian geologic survey David Lubo Geophysics at Simon Bolivar, Venezuela Andrew Peery Currently at WhiteStar

7 Upcoming graduates May 2017
AASPI Welcome 2012 Upcoming graduates May 2017 Student Degree Sought Focus Tao Zhao Ph.D. Algorithm Development - Clustering, Quantitative Interpretation Fangyu Li Algorithm Development - Spectral decomposition, Q, Quantitative Interpretation Jie Qi Algorithm Development – Image processing, Quantitative Interpretation Xuan Qi Algorithm Development - Aberrancy, Quantitative Interpretation Megan Gunther M.S. Quantitative Interpretation – Barnett Shale Bob Hardesty Algorithm Development - Gaussian Mixture Models Andrew Peery Quantitative Interpretation – Red Fork Channels Jake Elders Quantitative Interpretation – Cleveland Channels These folks are graduating during a time of depressed oil prices. Take a look at them!

8 Commercialization with Geophysical Insights (and potentially others)
Most university software requires an internal software group (i.e. research group) to make it work – e.g. SEP, Madagascar, KAUST, MSORP,… Some consortia who have commercialized their research products: GoCad (Université de Nancy) Beicip (Institut français du petrôle) Paradigm (Geoff Dorn work before Terraspark)

9 Commercialization Geophysical Insights will provide a subset of the AASPI software as an “attribute calculator” (similar to Kingdom Suite’s arrangement with Rock Solid Images) Front end and GUIs will be Paradise Maintenance and help desk will be from Geophysical Insights Computational algorithms will be AASPI algorithms University Restrictions Commercial contract is an “add-on” to the AASPI contract Commercialization contract must be the same for all interested parties All commercialization contracts must be the same If successful, their membership fee would be double

10 AASPI Welcome 2012 Commercialization (AASPI consortia membership vs. the Paradise AASPI calculator) AASPI members obtain: Unlimited number of licenses for $28000/year (vs a limited number of AASPI attribute calculators in Paradise package) Many developments may not have commercial value for Geophysical Insights New developments (e.g. aberrancy and skeletonization) are exclusive to sponsors for one year Access to source code Code runs on Windows PCs, Linux clusters, and supercomputers (the later using PBS, SLURM, and LSF) Access to us!

11 New Algorithms 10:25-10:50 Xuan Qi and Dustin Dewett
Volumetric aberrancy: An edge detection algorithm to complement coherence and curvature 10:50-11:15 Jie Qi Skeletonization and multiattribute display of faults and stratigraphic boundaries 11:15-11:40 Bo Zhang and Lennon Infante Chronostratigraphic picking using skeltonization constraints 11:40-12:00 Mohsen Alali and Tengfei Lin Footprint suppression: CWT2d or LoG-enhanced kx-ky filtering?

12 Applications and Case Studies
13:00-13:25 Lennon Infante Seismic expression of volcanics 13:25-13:50 Tao Zhao and Fangyu Li Data adaptive feature selection of self-organizing map facies classification 13:50-14:15 Joseph Snyder Correlating Rate of Penetration and number of bit trips to seismic attributes 14:15-15:45 POSTER BREAK 15:45-16:10 Thang Ha and Yuji Kim Least-squares migration and migration-driven 5D interpolation - Application to the Jeju Basin 16:10-16:35 Bryce Hutchinson and Fangyu Li Pitfalls in poststack data conditioning - distinguishing geology from artifacts


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