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INTEGRATE 0.99.9 documentation
INTEGRATE 0.99.9 documentation
  • Installation
  • Getting started
  • Data format
  • Borehole Data Format
  • Query Tool
  • Prior Data Generation
  • Rejection Sampling
  • Workflows
  • Example Gallery
    • Getting Started
      • Getting started with INTEGRATE
      • Compare EM forward models
      • Getting started with INTEGRATE - with no forward code
      • Getting started with INTEGRATE - posterior analysis only
    • The Complete Workflow
      • The complete INTEGRATE workflow: from data to posterior
    • Data
      • Borehole data in INTEGRATE – representation and integration
      • Dual data types (low and high moment seperately)
    • Noise
      • Synthetic Case Study example with different noise models (uncorrelated/correlated)
    • Hypothesis Testing
      • Daugaard Case Study with three lithology-resistivity prior models.
      • Daugaard Case Study with geology-resistivity-category prior models.
    • Querying the Posterior
      • query: Posterior Query Tool
    • Synthetic Case
      • INTEGRATE Synthetic Case Study example
    • Plotting
      • Profile Visualization in INTEGRATE
    • Raw Material Assessment
      • Daugaard: probabilistic raw-material assessment with INTEGRATE
      • Sdr. Felding: probabilistic raw-material assessment with INTEGRATE
    • Other Examples
      • INTEGRATE on ESBJERG data
      • Data, and noise, in linear or log space
      • Merging multiple data files from the same survey (ESBJERG)
      • INTEGRATE - Demonstration of merge_prior() function
      • INTEGRATE -Generic Prior Model Generation Examples
      • INTEGRATE Timing Analysis Example
  • Contributions
  • References
  • Modules (documentation)
    • integrate
    • integrate_rejection
    • integrate_io
    • integrate_plot
    • integrate_borehole
    • integrate_query
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Noise¶

INTEGRATE allows for using both correlated and uncorrelated Gaussian noise models.

Synthetic Case Study example with different noise models (uncorrelated/correlated)

Synthetic Case Study example with different noise models (uncorrelated/correlated)
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Synthetic Case Study example with different noise models (uncorrelated/correlated)
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Dual data types (low and high moment seperately)
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