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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

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2000

4000

6000

8000

10000meters

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2000

4000

6000

8000

10000meters

Amp

L

HAmp

L

H

0

Amp

L

HAmp

L

H

0

Salt Image Segmentation

Jie Qi

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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?