1 2015 aaspi workplan kurt j. marfurt kurt j. marfurt jamie rich marcilio matos bo zhang brad wallet...

1

2015 AASPI Workplan

Kurt J. Marfurt

Jamie Rich

Marcilio Matos

Bo Zhang

Brad Wallet

OU AASPI Team

Attribute-Assisted Seismic Processing and Interpretation

AASPI

2

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

3

Should run our MPI code

Should run our embarassingly

parallel code: dip3dspec_cwt, cwt2d

Brad Wallet

4

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

10

(LG)sGsL

Laplacian of a Gaussian:

cohe

renc

e

smoo

th

shar

pen

New Fault Enhancement Algorithm

11

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

12

Skeletonization

z

0 0.5 1.0

Kilometers0

100

Milliseconds

max

min

Mohsen Alali(Bo Zhang, 2013)

13

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

15

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

16

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)?

17

AASPI 2015 Workplan

Suggestions from the floor?