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2014 AASPI Workplan

AASPI. 2014 AASPI Workplan. Kurt J. Marfurt Jamie Rich Vikram Jayaram Marcilio Matos OU AASPI Team Attribute-Assisted Seismic Processing and Interpretation. AASPI 2014 Workplan. AASPI 2014 Workplan : Large scale texture analysis. Shale dewatering – west Africa (t=3.2 s). Texture 1.

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2014 AASPI Workplan

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  1. AASPI 2014 AASPI Workplan Kurt J. Marfurt Jamie Rich Vikram Jayaram Marcilio Matos OU AASPI Team Attribute-Assisted Seismic Processing and Interpretation

  2. AASPI 2014 Workplan

  3. AASPI 2014 Workplan: Large scale texture analysis Shale dewatering – west Africa(t=3.2 s) Texture 1 Texture 2 Texture 3 20 km

  4. AASPI 2014 Workplan

  5. Correlation of present day stress vector and faults (plate boundaries) Africa http://peterbird.name/publications/2006_South_Africa

  6. “Vector” correlation between anisotropy, a, and curvature c

  7. AASPI 2014 Workplan

  8. 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’

  9. Productivity Productivity Relative Curvature Cutoff

  10. 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 SeparationTechniques (V. Jayaram) • Applications : Dimensionality Reduction & Cluster Analysis • Techniques Investigated : • Noise Adjusted Principal Components (Atish Roy) • Independent Component Analysis

  11. 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 • Techniques Investigated : Gabor Energy Vs. GLCM

  12. Average fracture intensity vs. curvature Faulting Fracture saturation Fracture generation This is NOT a linear correlation Elastic deformation (White, 2013)

  13. AASPI 2014 Workplan

  14. AASPI 2014 Workplan Diffraction imaging Time-processed shot gathers Migration velocities Diffraction image? Demigrated shot gathers CLSM with (1-cosθ) obliquity factor CLSM with cosθ obliquity factor Migrated gathers Dip and azimuth • cosθ stack dip3d

  15. AASPI 2014 Workplan • Suggestions from the floor?

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