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4. Spectral Decomposition

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

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

2 AASPI 2011 Sponsors

3 AASPI 2011 Personnel Changes
Kui Zhang – (Ph.D. Geophysics) – to BGP Yanxia Guo – (M.S. Geophysics) – to BGP Amanda Thompson (M.S. Geophysics) – to Devon Oz Elis (M.S. Geophysics - to TPAO Ana Martins (M.S. Geophysics) – to Schlumberger Alejandro Cabrales-Vargas (M.S. Geophysics) – to PEMEX Supratik Sarkar (Ph.D. Geology) – to Shell Sunday Amoyedo (Ph.D. Geophysics) – to TOTAL Aliya Urazaminova (M.S. Geophysics) – to Anadarko Evan Staples (M.S. Geophysics) – to ConocoPhillips out going Brad Wallet – (Ph.D. – Geophysics) – to Schlumberger Trey White (M.S. Geology) Sumit Verma (Ph.D. Geophysics) Alfredo Fernandez (M.S. Geophysics) Melia da Silva (M.S. Geophysics) Mark Aisenberg (M.S. Geophysics) Daniel Trumbo (M.S. Geology) in

4 AASPI 2011 Software Development
75% of the port to multiplatform performance (Linux and Windows 7) aaspi_io – C++ code to read/write files and command lines GUIs – C++ graphical user interfaces all higher level aaspi algorithms Developed and released the following new algorithms som2d – clustering of waveforms/stacking patterns at each trace som3d – clustering of attribute vectors at each voxel nmo_mp – non-stretch normal moveout using matching pursuit sof_prestack – prestack structure-oriented filtering azim_offset_mig – simple prestack Kirchhoff time migration aaspi_util_prestack – GUIs and scripts to handle migrated data Prototyped the following new algorithms Constrained 3D least-squares prestack time migration (working) cwt, cwt_inverse, and bandwidth extension (needs aaspi_io) Phase residue mapping of unconformities (needs aaspi_io) High resolution (factor component) velocity analysis Improved the following existing algorithms sof3d – near total restructuring dip3d – simplified and streamlined Kuwahara window options spec_cmp, sof3d – significantly improved spectral balancing

5 AASPI 2011 Workflow Development
Calibration of curvature anomalies with outcrop analogues and image logs (Evan Staples – Hunton Lime; Trey White – Mississippi Lime; Nabanita Gupta – Woodford Shale) Correlation of core linked to seismic attributes via depositional environment models (Nabanita Gupta) Prediction of sand production from time-lapse AVO analysis (Sunday Amoyedo) Prediction of geomechanical properties and well-bore stability through attribute-generated structure models, well logs, and prestack impedance inversion and time-lapse seismic (Aliya Urazimanova and Sunday Amoyedo) Integration of outcrop flow directions, seismic stratigraphy, λρ-μρ inversion, and production data to identify sweet spots, Chicontepec Bain (Supratik Sarkar) Developed and perfected constrained least-squares constraints and data prediction capabilities (Alejandro Cabrales-Vargas, Shiguang Guo)

6 AASPI Software

7 geology.ou.edu/aaspi documentation

8

9 overview Flow chart

10 examples references

11 Examples of some interdisciplinary work – G & G & Petroleum Engineering

12 Overlying seal strength – Forties Field, UK
4. Spectral Decomposition Overlying seal strength – Forties Field, UK Aliya Urazimanova addressed well bore stability problems in the Forties Field using seismic attributes, prestack inversion, and well measurements to build a geomechanical model. (Urazaminova MS, 2011)

13 Unconfined Compressive Strength (UCS) (Aliya with Prof. Rogiers)
4. Spectral Decomposition . Unconfined Compressive Strength (UCS) (Aliya with Prof. Rogiers) Work by Aliya Urazaminova in conjunction with Prof. Jean Claude Rogiers of Petroleum Engineering correlating well instability to unconfined compressive strength. . (Urazaminova MS, 2011)

14 Well instability: Low μρ Shallow-dipping faults
4. Spectral Decomposition Well instability: Low μρ Shallow-dipping faults Representative work by Aliya Urazaminova correlating well instability in Forties Field to weakness in the shale predicted by prestack impedance inversion and shallow-dipping faults (Urazaminova MS, 2011)

15 Turbidite Depositional History
Outcrop Study Section unavailable for measurement Paleocene-Eocene boundary (Cossey et al- Personal communication) Thin bed- distal levee Channel fill Removed rip up clasts Proximal levee Paleocurrent direction Direction of slumps Slump Debris Flow Fine grained sand Medium/ Coarse grained sand Conglomerate/ Shale clast conglomerate Shale (Sarkar PhD 2011)

16 Turbidite Depositional History
Outcrop Study (Sarkar PhD 2011)

17 Turbidite Depositional History
Outcrop Study (Paleocurrent Pattern) 20 km SMO Golden Lane platform Chicontepec subsurface production area Amatitlan 3D Tanlajas Paleocene paleocurrent (Sarkar PhD 2011) Paleocene slumps

18 Turbidite Depositional History
Outcrop Study (Paleocurrent Pattern) 20 km SMO Golden Lane platform Chicontepec subsurface production area Amatitlan 3D Tanlajas Eocene paleocurrent directions (Sarkar PhD 2011)

19 Turbidite Patterns Within Stratigraphic Units
Turbidite Depositional History Turbidite Patterns Within Stratigraphic Units Unit A Amalgamated channel Channel/ Canyon fill (Sarkar PhD 2011)

20 Turbidite Depositional History
Turbidite Patterns Within Stratigraphic Units Unit A N (Sarkar PhD 2011)

21 Turbidite Depositional History
Turbidite Patterns Within Stratigraphic Units Unit A Major NE Channel/ Channel complex NE Channel/ Channel complex Fan/lobes from NE Channel Splay Major SW Fan/ Channel fan complex Extended Fan network (SW) Mass transport complex Levee- overbank deposit Basin Plain N (Sarkar PhD 2011)

22 Seismic Reservoir Characterization
Interpretation μρ(Gpa-g/cm3) λρ (Gpa-g/cm3) 10 40 60 100 140 20 30 50 120 Quartz Calcite 70 80 90 110 Feldspar (avg) (Sarkar PhD 2011)

23 Seismic Reservoir Characterization
Interpretation Correlation with production 5 km Potential good production areas (Sarkar PhD 2011)

24 Seismic Reservoir Characterization
Interpretation Correlation with production Potential good production areas Relative indices for six month’s cumulative production 5 km

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


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