Productionoptimization
AI and data science for production optimization and artificial lift, for mid-size oil and gas operators.
Most of the value of AI in oil and gas sits in production: lift performance, downtime and the long tail of low producers. The Downtime & Production Optimization Diagnostic finds where your production is being lost and which causes are worth fixing first.
The problem
Sound familiar?
- Deferred production is reported, but its causes are spread across field notes, well tests and spreadsheets.
- Engineers watch the big wells; the long tail of low producers gets little attention.
- Lift optimization depends on who is on shift, not on a shared, measured method.
How it works
Narrow scope, measured value, then hand-over
A fixed-price diagnostic of under a month, with the baseline agreed up front.
- 1Pick two or three production decisions with data and a KPI you already track: downtime, uplift, run life.
- 2Agree the baseline before building anything.
- 3Fix only the data those decisions need.
- 4Prove the value on a group of wells, then hand the tool and the method to your team.
What you get
- Where production is lost, by cause, well and facility
- Which causes are worth fixing first, with their estimated value
- A fixed-price proposal for the tool or study, with its KPI and baseline
Industry evidence
What operators report
- +3% · $11M/yrProduction uplift and extra operating margin per year from standardized well optimization at an operator in Western Canada.Baker Hughes
- ~50%of upstream AI value comes from the top 10 of 550+ use cases, concentrated in production, drilling, reservoir and maintenance.McKinsey, 2026
Published by the sources linked; not Raffa Group results.
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