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2015 AASPI Workplan
Kurt J. Marfurt
Jamie Rich
Marcilio Matos
Bo Zhang
Brad Wallet
OU AASPI Team
Attribute-Assisted Seismic Processing and Interpretation
AASPI
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AASPI 2015 Workplan
Software
Construct more “workflows” that link common steps forMultiple iterations of structure-oriented filteringPrestack data conditioningPreconditioned least-squares migration3D patch-based coherent noise suppression
• Document best practices for illuminating channels, karst, faults, …
• Evaluate new hardware for algorithm performance improvement
• Deploy data-adaptive attribute parameters developed by Tengfei Lin
Thang Ha
Sumit Verma
Improved performance for some embarassingly parallel algorithms
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Should run our MPI code
Should run our embarassingly
parallel code: dip3dspec_cwt, cwt2d
Brad Wallet
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AASPI 2015 Workplan
• Geomorphology• Have license to large 3D data volumes from New Zealand
and Australia – contains volcanic intrusives, carbonate banks, turbidites
• Shallow hazards• Working on license from ENI on hazard data
• Salt segmentation• Working on license with PGS to 3600 mi2 from GOM shelf
Original seismic Spectral amplitude
Stacked seismic with segmented salt Semblance
0
2000
4000
6000
8000
10000meters
0
2000
4000
6000
8000
10000meters
0
2000
4000
6000
8000
10000meters
0
2000
4000
6000
8000
10000meters
Amp
L
HAmp
L
H
0
Amp
L
HAmp
L
H
0
Salt Image Segmentation
Jie Qi
0
2000
4000
6000
8000
10000
meters
Salt top
3D model top salt boundaries
Salt Image Segmentation
Jie Qi
7 (Milos Cvetkovic UH Thesis 2006)
2D CWT (timeslice) filtering for
data conditioning
Marcus Cahoj, Mohsen Alali
8 (Milos Cvetkovic UH Thesis 2006)
2D CWT (timeslice) filtering for
data conditioning
Marcus Cahoj, Mohsen Alali
Shale dewatering – west Africa(t=3.2 s)
Texture 1
Texture 2
Texture 3
20 km
AASPI 2015 Workplan: Large scale texture analysis
Marcus Cahoj, Mohsen Alali
Current Fault Enhancement
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(LG)sGsL
Laplacian of a Gaussian:
cohe
renc
e
smoo
th
shar
pen
New Fault Enhancement Algorithm
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Directional derivative of an oriented Gaussian:
GsvvnF 332 W
Smoo
th a
long
faul
t (v 1
and
v 2)
Shar
pen
perp
endi
cult
to
faul
t (v 3
)
Wei
ght p
lana
r fea
ture
s
Supp
ress
feat
ures
para
llel t
o st
ratig
raph
y
321
331
W
Gabriel Machado, Mohsen Alali , Bryce Henderson
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Skeletonization
z
0 0.5 1.0
Kilometers0
100
Milliseconds
max
min
Mohsen Alali(Bo Zhang, 2013)
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Scattered energy from rugose or fractured surfaces
Amp
Low
High
1500 ft
Azimuthally limited stacks
Parallel to fault
Perpendicular to fault
Gao (2012)Change in spectra as a
function of incidence angle13
Fangyu Li
• Correlation of microseismic moments with – Structural fabric (strike of curvature and faults)?– AVAz and VVAz?
• Correlation of rate of penetration with– Tectonic deformation?– Geomechanical properties from prestack inversion?
• Correlation of chemical fluid traces with– Faults and lineaments seen on attributes?– Geomechanical properties from prestack inversion?
• Correlation of core- and log-based TOC with– Geomechanical properties from prestack inversion?– Spectral attributes?
AASPI 2015 Workplan – Calibrating with ground truth
Ian Stark, Rachel Petit
Joe Snyder
Xuan Qi? Tao Zhao?
Sumit Verma, Tao Zhao
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AASPI 2015 Workplan Diffraction imaging
CLSM with cosθ obliquity factor
Time-processed
shot gathers
Migration velocities
Migrated gathers
dip3d Dip and azimuth
cosθ
CLSM with (1-cosθ) obliquity factor
Diffraction image?
Demigrated shot gathers
stack
Yuji Kim
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Please sir, can I have some more:
Time-lapse seismic before and after hydraulic fracturing?
Chemical Fluid Tracer (CFT) data from multistage hydraulic fracturing?
Gas chromatography while drilling (to detect C2 vs. C8 molecules)?
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AASPI 2015 Workplan
Suggestions from the floor?