AI Well Completion Optimization
AI-driven optimization of well completion designs and operations
The Problem
“Optimize well completions to maximize production value”
Organizations face these key challenges:
1
High variability in well performance due to heterogeneous geology, parent-child interference, and inconsistent completion execution
2
Expensive trial-and-error pilots with long feedback loops; learning is slow and often not transferable across pads or crews
3
Limited ability to quantify tradeoffs between completion intensity, cost, operational risk (screenouts), and long-term recovery under uncertainty
Impact When Solved
3–8% increase in 180-day cumulative production through optimized stage/cluster design and treatment schedules2–5% reduction in completion spend by right-sizing proppant/fluid volumes and eliminating low-value stages10–20% fewer screenouts and completion NPT via real-time risk prediction and adaptive pumping recommendations
The Shift
Real-World Use Cases
Drilling Location Optimization with APOLO
APOLO helps find the best places to drill for oil by using smart computers to look at lots of data.
predictiongrowing
7.0
AI-Driven Drilling Optimization
We use smart computers to help drill holes in the ground better and faster.
optimizationgrowing
7.0
Optimization of Well Production using Digital Twins
We use a smart computer model to help drill for oil and gas better.