Stuck pipe is one of the most frustrating and expensive challenges in drilling operations.
It creates hours or days of non-productive time and increases operational risk across the entire campaign.
But what if teams could see the warning signs before the event occurs?
At Adaga, we’ve been developing a machine-learning module designed to predict stuck pipe probability in advance, helping drilling teams recognize deteriorating conditions earlier and take action before problems escalate.
The system analyzes real-time drilling data such as:
Using these signals, the model converts operational conditions into a stuck pipe probability curve that highlights when risk begins to increase.
Instead of reacting after the situation worsens, drilling teams gain a predictive window to intervene earlier.
The goal is simple: give teams better visibility into operational risk while there is still time to act.
In a recent analysis across 13 wells (11 drilling and 2 completion/workover wells), the opportunity created by earlier detection and intervention translated into approximately 14 campaign days of potential savings.
earlier risk detection → faster intervention → fewer stuck pipe events and less NPT.
If you’re interested in learning how predictive stuck pipe probability could fit into your drilling workflow, we’d be happy to walk through the approach and results.
Connect with our team to learn more.
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Adaga Solutions
Helping drilling teams make smarter decisions with real-time operational intelligence.
www.adagasolutions.com
