Tubing Corrosion Prediction Without Well Shutdowns

Challenges

  • Pipe corrosion is a common problem caused by elevated CO2 and H2S content in the fluid and by reservoir pressure and temperature.
  • Tubing corrosion compromises well integrity and reduces operational efficiency, leading to prolonged maintenance and workovers and sub-optimal production.
  • Conventional corrosion assessment methods require well shutdowns, and production is lost while they run.

Approach

A combined ML pipeline clusters wells and classifies those clusters, assessing whether a well belongs to a high or low risk group.

The ranking is used to prioritize maintenance and corrosion measurement tests, so the short-list of wells is produced without shutting any of them in.

Key features

  • ML risk stratification through well clustering and cluster classification
  • High and low risk groups assigned without a shutdown
  • Workover prioritization alerts
  • Short-list of wells for maintenance or corrosion measurement tests

Impact

15%

Average well profitability growth

65%

Avoidable tubing breakdowns due to corrosion, identified in advance

No production lost to assessment shutdowns

As stated in the company deck

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