Predict Bottom Hole Conditions
Replace indirect estimates and delayed field reaction with live model output from conventional surface data.
TECHNOLOGY
It’s Time to Make Your Data Work for You
SkyFrac turns time-series field data into real-time predictions, live operational insight, and repeatable engineering workflows.
SkyFrac
Data-Enabled Predictions
Engineered to be problem agnostic, predictive analysis and seeing around corners are the two things Odin Ai does well in any time-series domain.
In May 2019 Odin Ai demonstrated for the first time that AI could accurately calculate downhole values from surface data in real time.
The Odin Ai software platform was designed to make scalable, repeatable reservoir-condition prediction possible from AI-ready data.
Predict Conditions In The Reservoir
Scale feature engineering and model construction into a repeatable operator-specific software workflow.
Proof
Production uplift visibility
Visual relationship between modeled c-factor and production performance, useful for buyer conversations around measurable field impact.
Correlation and validation
A cleaner proof asset for technical reviewers who want to inspect whether the signal tracks with the field data, not just the headline.
End To End AI Service
Seamless User Experience
SkyFrac offers a flexible workflow ranging from fully managed service to hands-on expert tooling for domain specialists.
Odin Ai never uses one operator's data to benefit a competitor, and its patented limited-data methodology avoids the need to pool sensitive datasets.
Real-time information service delivers live analysis so teams can respond faster, optimize procedures on the fly, and reduce operational surprises.
Credibility
Operator-facing proof, not abstract AI theater
Technical buyers need evidence that the workflow can survive contact with real frac data, real engineering constraints, and real deployment conditions.
This layer is where case histories, technical notes, and validation assets should live as the site grows.
Use case: frac design
Early proof artifact for visitors evaluating design optimization use cases and repeatable model-driven planning workflows.