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Company Mission

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Graphics cards. Not designed for volumetric applications. View must be calculated in software ... Custom software. Cpat. Batch operations. Calculates derived ... – PowerPoint PPT presentation

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Title: Company Mission


1
Visualization of Massive Volumetric Data
Sets Bradley Wallet Robert Wentland Jawad Mokhtar
brad_at_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
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
17
Software
  • Color maps
  • RGBA
  • HSVA
  • Alpha channel
  • Interactive exploration
  • Grand tour
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