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Visualization of Massive Volumetric Data Sets Bradley Wallet Robert Wentland Jawad Mokhtar

Visualization of Massive Volumetric Data Sets Bradley Wallet Robert Wentland Jawad Mokhtar. brad@chroma-corp.com http://www.chromaenergy.com/. Acknowledgements. Chroma for allowing me to come Chroma Energy for allowing me to speak PGS for allowing me to show their data. Outline.

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Visualization of Massive Volumetric Data Sets Bradley Wallet Robert Wentland Jawad Mokhtar

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  1. Visualization of Massive Volumetric Data Sets Bradley Wallet Robert Wentland Jawad Mokhtar brad@chroma-corp.com http://www.chromaenergy.com/

  2. Acknowledgements • Chroma for allowing me to come • Chroma Energy for allowing me to speak • PGS for allowing me to show their data

  3. Outline • Background (Goals and Data) • Why Visualize? • Hardware • Software

  4. Goals • Find economic hydrocarbon reservoirs • Reduce the number of dry holes • Locate leads that would otherwise be missed • Extract information necessary to exploit reservoirs

  5. Data • Large 3-D volumetric data set • Pre-stack data (Amplitude vs. Offset) • Reflection Coefficient data • Acoustic Impedance data • Derived (feature) data • 4-D Seismic data

  6. Data • Data cubes consists of 100 million to 500+ million observations • Typically part of larger data set • Desire to work in 32 bits per voxel • Typically four or more derived data cubes • Some really should be 32 bits per voxel • Often need three or more in memory at a time

  7. Data

  8. Data

  9. Data Gulf of Mexico 3D Seismic 1 Sec Channel Sequence of Interest Wait More Done

  10. Data

  11. Data Access the pattern level of the ChromaCubeTM pattern database. More Done

  12. Why Visualize • Technical feasibility • “Oil is found in the minds of men” • Conservative culture • Economics • Shallow onshore well costs $100k • Deep onshore well costs $1m • On shelf well costs $10m • Deep water well costs $100m

  13. Hardware • Long term storage • Generally available in sufficient quantity • Slow but typically acceptable • Intersite transfer of data • Main memory • Limited to 2GB in 32 bit systems • Limited to 8GB in practice • Contiguous memory issues

  14. Hardware • Graphics cards • Not designed for volumetric applications • View must be calculated in software • Volumetric cards • Limited in the past to 256MB • Limited to greyscale • New ones hold up to 8GB • Support RGBA • Exotic (transputer) solutions • Expensive hardware • Expensive software

  15. Software • Custom software • Cpat • Batch operations • Calculates derived data • ChromaVision • Visualization • Interactive colormap adjustments • Extraction, annotation, editing, etc. • Commercial off the shelf (COTS) software • Data preprocessing • Standard operations

  16. Software Workflow Drilling Data Acquisition Data Processing Visualization Interpretation Pattern Enabled Visualization Interpretation Well Plan Migrated Image Stacked Angle Stacks CMP (for AVO) Multi-component 4D (time varying stacks) Reservoir Simulation Seismic Data Current Workflow Pattern Analysis Pattern Database Pattern Enabled Workflow

  17. Software • Color maps • RGBA • HSVA • Alpha channel • Interactive exploration • Grand tour

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