Conditional Random Fields for Rock Characterization Using Drill Measurements

  title={Conditional Random Fields for Rock Characterization Using Drill Measurements},
  author={Sildomar Takahashi Monteiro and Fabio Tozeto Ramos and Peter Hatherly},
  journal={2009 International Conference on Machine Learning and Applications},
Analysis of drill performance data provides a powerful method for estimating subsurface geology. While there have been studies relating such measurement-while-drilling (MWD) parameters to rock properties, none of them has attempted to model context, that is, to associate local measurements with measurements obtained in neighbouring regions. This paper proposes a novel approach to infer geology from drill measurements by incorporating spatial relationships through a Conditional Random Field (CRF… 

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