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Visualization of Massive Volumetric Data Sets Bradley Wallet Robert Wentland Jawad Mokhtar PowerPoint Presentation
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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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Presentation Transcript
slide1

Visualization of Massive Volumetric Data Sets

Bradley Wallet

Robert Wentland

Jawad Mokhtar

brad@chroma-corp.com

http://www.chromaenergy.com/

acknowledgements
Acknowledgements
  • Chroma for allowing me to come
  • Chroma Energy for allowing me to speak
  • PGS for allowing me to show their data
outline
Outline
  • Background (Goals and Data)
  • Why Visualize?
  • Hardware
  • Software
goals
Goals
  • Find economic hydrocarbon reservoirs
    • Reduce the number of dry holes
    • Locate leads that would otherwise be missed
  • Extract information necessary to exploit reservoirs
slide5
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
slide6
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
slide9
Data

Gulf of Mexico

3D Seismic

1 Sec

Channel Sequence of Interest

Wait

More

Done

slide11

Data

Access the pattern level of the ChromaCubeTM pattern database.

More

Done

why visualize
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
hardware
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
hardware1
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
software
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
slide16

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

software1
Software
  • Color maps
    • RGBA
    • HSVA
    • Alpha channel
    • Interactive exploration
    • Grand tour