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Metallic - Improve identification of noisy data

We cannot tell quickly what percentage of the metallic data is noisy (and cannot be analyzed). It is a manual and subjective process to determine “% of noise” for each pipe.

Ballpark estimate of 4 person-months of data science + 2 person-months of software integration, if we have done the generic integration EMANLST-2. $50K CAD

  • Eric Toffin
  • Nov 12 2019
  • Planned