Oil and Gas

Momentum AI in predicting parts failure in oil and gas

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Momentum predicts dynamometer card shapes

We have developed AI models that predict the shapes of dynamometer cards. The shape of the dynamometer card tells what the health of a good operation looks like and what the impact on production is.

Parts failure prediction for preventive maintenance

Our predictive model is trained to identify parts that are likely to fail so that:

Plan for preventive maintenance

Avoid well downtime

Make sure replacement parts are available else order them in advance

Identify failure trends

Geo-locate failed wells

Oil & Gas analytics

Derived Analytics

  • Machine Learning Patterns
  • Warranty to Part Failure Comparison
  • Effect of Weather as Sub Factor
  • Effect of Operational Parameters as Sub Factor
  • Effect of Operational Parameters as Sub Factor
  • Additional Detected Patterns, etc

Downhole Analytics

  • Rod Failure
  • Pump Failure
  • Tubing Failure
  • Casing Failure
  • Formation Issues

Surface Analytics

  • Pump Jack Part Failure
  • Flowline Failures
  • Gas Meter
  • Wellhead / Flowline Pressures

Gas Wells

  • Plunger lift performance
  • Tubing or Packer failure

Ready To Embrace The Future

If you are working on a data engineering or AI solution, trying to explore a use case, or building a proof-of-concept, please contact us for a one-on-one discussion.

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