Case study · Oil & Gas

Pipeline slugging prediction

Pipeline slugging — irregular flow patterns that produce sudden surges — causes downstream upset and equipment stress.

Outcome

Commercial

product delivered

Problem

Pipeline slugging — irregular flow patterns that produce sudden surges — causes downstream upset and equipment stress. A midstream operator wanted to predict slugging conditions far enough ahead to react.

Approach

R2 built a custom simulator combined with machine-learning analytics on historical pipeline data. The combination forecast slugging conditions with enough lead time to enable operational response.

Result

A commercially viable product — the operator continues to run it in production.

Technologies & methods

The stack behind the outcome.

  • Custom flow simulator
  • Machine learning
  • Pipeline analytics

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