Multi-National oil & gas company: Pump jack predictive maintenance

Multi-National oil & gas company: Pump jack predictive maintenance

Challenge

  • Large oil producer is interested in understanding the ongoing effectiveness of their downhole pumps to lift fluid to the surface.
  • Pumpjack failures proved difficult to detect using rule-based diagnostic methods and often led to expensive field failures and lost production

 

Solution

  • Created a unified view for wells over time by combining dynamometer, operational, well maintenance, downtime, and performance failure data.
  • Using Azure Machine Learning, Neal Analytics classified failure types to identify patterns of failure occurrences and allow for remote diagnostics of pre-failure conditions

Result

  • Reduced cost of nonproductive time and operations
  • Increased Return on Assets by avoiding severe pump jack failures.
  • Optimized maintenance schedules based on risk probabilities.