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CASE STUDY

Case study: Predicting ESP failures with variable data quality

offshore platform oil and gas rig

Predict electric submersible pump (ESP) failures to decrease well downtime, reduce costly maintenance, and increase production. Read how one major oil and gas company:

  • Used normal behavior modeling (NBM) to identify unhealthy pump assets.
  • Identified 5 of 7 historical ESP failures with 13-35 days advance notice (potential savings of $1.35M in deferred production).
  • Employed sensor data cluster analysis to classify potential ESP failures.