16h35 Kurt_Marfurt--2014_AASPI_ workplan

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AASPI
2014 AASPI Workplan
Kurt J. Marfurt
Jamie Rich
Vikram Jayaram
Marcilio Matos
OU AASPI Team
1
Attribute-Assisted Seismic Processing and Interpretation
AASPI 2014 Workplan
Poststack Attribute and Image Processing Algorithm Development
Task
Implement volumetric flexure
attribute
Q estimation from magnitude
component of spectral
decomposition
Dispersion compensation using
phase component of spectral
decomposition
Extension of CWT to prestack
gathers
Sketetonization using Biometric
algorithm
2
Program name
Researcher
flexure3d
Jamie Rich, Kurt Marfurt
q_estimation
Fangyu Li; Kurt Marfurt
spec_cwt
Fangyu Li
spec_cwt
skeletonize3d
Fangyu Li
Bo Zhang, Jie Qi
AASPI 2014 Workplan: Large scale texture analysis
Shale dewatering – west Africa
(t=3.2 s)
20 km
AASPI 2014 Workplan
Attribute Calibration using Geological Control
Task
Mississppi Lime: Continued correlation of attributes to
fractures using outcrops and horizontal image logs
(Noble County, OK)
Mississippi Lime: More well control to blind test
prestack inversion lithology and fracture prediction
(Kay County, OK)
Mississippi Lime: Prestack reprocessing and inversion
for Mississippi Lime (Nolon Co., TX)
Woodford Shale: Establish Proxy for TOC and
petrofacies using 100s of wells correlated to prestack
inversion and attributes using ANN
Write tutorial on attribute application to depth vs. time
migrated volumes
Mapping transfer zones and rift systems - clay models,
outcrops, and seismic data
4
Researcher
Trey Stearns
Daniel Trumbo; Mark
Aisenberg
Sumit Verma
Sumit Verma
Tengfei Lin
Debu Paul
Correlation of
present day stress
vector and faults
(plate boundaries)
5
Africa
http://peterbird.name/publications/2006_South_Africa
“Vector” correlation between anisotropy, a, and
curvature c
colinear component : a  c  a x cx  a y c y
orthogonal component : a  c  a x c y  a y cx
 a c
J
rcolinear 
j 1
j j
x x
 a yj c yj 
1/ 2
1/ 2
J j j
J j j
j j
j j
a
a

a
a
c
c

c
 x x
 x x
y y
ycy 
j

1
j

1

 

 a c
J
rorthogonal 
j 1
j j
x y
 a yj cxj 
1/ 2
2
2

r  rcolinear
 rorthogonal
1/ 2
2

  arg(r )  ATAN2 rorthogonal , rcolinear
6
1/ 2
J j j
J j j
j j
j j
a
a

a
a
c
c

c
 x x
 x x
y y
ycy 
 j 1
  j 1

AASPI 2014 Workplan
Attribute Calibration using Engineering Control
Correlate azimuthal anisotropy and curvature strike
Ft Worth Basin, TX: Measurement of azimuthal spectral
changes between reflections from top and bottom of
hydraulically-fractured shale
Improving attribute based productivity maps using
segmented sensitivity analysis
Characterizing stratigraphic controls on microseismic height
growth using source characterization and seismic attributes
Correlate rate of penetration to attributes in horizontal
Mississippi Lime wells
Texture based Classification using GMRF/Gabor Energy,
Finding nonlinear relationships between production
measurements and seismic data - introducing supervision
into SOM, GTM & SVM algorithms
Preliminary results comparing Support Vector Machine to
AAN and SOM clustering
7
Shiguang Guo
Fangyu Li
Jamie Rich
Jamie Rich and Sara
Long
Marcus Cahoj
Vikram Jaayram
Toan Zhao
AASPI 2014 Workplan – Integrating Microseismic
• Microseismic source characterization and correlation with
stratigraphy/seismic attributes
• Fault plane solutions Full moment tensors?
• Quantifying value of multiple monitor wells
– Error as a function of number of monitors and SNR
– Effect of Double Difference locations vs. number of monitors
and SNR
• Uniqueness of VTI velocity models, we all know that the correct
VTI model gives us better locations, but what about incorrect
VTI models?
• A new approach for attribute based ‘productivity maps’
Productivity
Productivity
Relative Curvature Cutoff
9
Emerging trends & Algorithm development
• 3D Supervised Facies Classification (Tao Zhao, Atish Roy, V. Jayaram)
Applications : Sweet Spot Identification,
Generating Classification maps
EUR prediction & Mapping Production Data
Techniques Investigated :
Distance Metrics in GTM, SOM (Atish Roy)
Support Vector Machines (Tao Zhao)
• Transformations or Blind Source Separation Techniques (V. Jayaram)
Applications : Dimensionality Reduction & Cluster Analysis
Techniques Investigated :
Noise Adjusted Principal Components (Atish Roy)
Independent Component Analysis
10
Emerging trends & Algorithm Development
• Statistical Parameterization of Well Data (David Lubo, V. Jayaram)
Applications : Reservoir Characterization,
Correlating Well data to Seismic Attributes
Techniques Investigated : Gaussian Mixture Models (David Lubo)
Markov Models
• Non-Linear Regressors (Melia da Silva, V. Jayaram)
Applications : Establishing quantitative relationships between
fracture intensity and curvature,
Correlating Production Data to Seismic Attributes
Techniques Investigated : Gaussian Mixture Regression
Kernel Regression
• Texture Analysis (Marcus Cahoj, V. Jayaram)
Applications : Geology Interpretation, Fault Identification
11
Techniques Investigated : Gabor Energy Vs. GLCM
Average fracture intensity vs. curvature
This is NOT
a linear
correlation
10-12
(White, 2013)
AASPI 2014 Workplan
Prestack Data Conditioning and Imaging Algorithm Development
Task
Researcher
5D interpolation via preconditioned leastShiguang Guo
squares prestack time migration
Migration-driven converted-wave velocity
Sumit Verma
analysis: Fort Worth Basin
Prototype diffraction imaging based on
Shiguang Guo
constrained least-squares migration algorithm
Detailed interval velocity analysis to preserve
long-offset data for improved λρ, μρ, ρ, and
Bo Zhang
anisotropic measures sensitive to TOC
Wavelet based high-resolution Radon
Bo Zhang
Extended simultaneous inversion to long
offsets
Sumit Verma
Analyzing the advantages of the PP+PS over
PP data, for shale resource plays. Further,
establishing a workflow for PS data processing.
– Sumit Verma
Sumit Verma
Spectral balancing of prestack data
Kurt Marfurt
generalize sof_prestack to run across offset,
azimuths
Kurt Marfurt
13
AASPI 2014 Workplan
Diffraction imaging
Timeprocessed
shot gathers
Migration
velocities
CLSM with cosθ
obliquity factor
Diffraction
image?
Demigrated
shot gathers
CLSM with (1-cosθ)
obliquity factor
Migrated
gathers
stack
14
dip3d
Dip and
azimuth
cosθ
AASPI 2014 Workplan
Suggestions from the floor?
15
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