AI Production Engineer
An engineer watching every well, every day.
Continuously monitors production and operating data to identify underperforming wells, diagnose problems, evaluate opportunities, and recommend what to do next.
No contract. Cancel anytime.
Capabilities
What it does
The AI Production Engineer can:
- Detect production declines and abnormal well behavior
- Diagnose likely causes using available operating data
- Identify underperforming wells
- Evaluate artificial-lift performance
- Identify missing information needed to reach a diagnosis
- Estimate production opportunity and economic impact
- Build intervention recommendations and business cases
- Share the case with operators and service companies for review
- Measure actual results against the original recommendation
It doesn’t just tell you something changed.
It helps determine why it changed, what it’s costing you, and what you should do about it.
Business case
From signal to business case
A production change is only the beginning.
The Production Engineer evaluates the available operating context, determines what evidence supports the diagnosis, identifies what information is missing, and estimates whether the opportunity is worth pursuing.
A recommendation can bring the operating case together:
Condition
What changed?
Diagnosis
What does the available evidence suggest is happening?
Recommendation
What should the operator do next?
Financials
What could the problem be costing, what might the intervention cost, and what result would justify the work?
Evidence
It knows when it doesn’t know
Wellsite does not invent missing operational data to complete a diagnosis.
When important information is unavailable, the Production Engineer identifies what is missing, explains how it affects the diagnosis, and distinguishes what it knows from what it cannot yet determine.
The goal is not to manufacture certainty.
The goal is to help the operator make a better decision with the evidence that actually exists.
Handoff
Recommendations become work
A recommendation does not have to stop at analysis.
Once the operator decides to proceed, the recommendation can become a project carrying the diagnosis, scope, expected result, economics, and relevant operating context into the work.
The Operations Manager can then coordinate the provider and follow the project through completion.
Explore Operations ManagerOutcomes
Measure what happened
The original expectation stays attached to the work.
After completion, the Production Engineer can watch subsequent production and compare the actual result against the recommendation.
Expected result Actual result Measured outcome
That closes the loop between engineering judgment and what actually happened at the well.
See what deserves attention.
Connect your wells and put an AI Production Engineer to work across the portfolio.