Use cases

Operator workflows, rendered live from the same components we design with

Each module below is a working React render of a reference figure—no PNG round-trip. The interactive one-pager has its own home on Learning.

Module 1 · Landing depth (V2 — dark technical)

Module 2 · Montney R² vs industry methods

Odin Ai Case study · Montney · Alberta / BC

R² vs industry methods

+20 pts over RTA class

Job-size indicators lateral ft · fluid · proppant
R² 0.45
RTA ceiling Rate transient analysis class
R² 0.65
CFrac → PnP Six-month production, post-job
R² 0.85
CFrac → NCS Normalized cumulative saturation
R² 0.96

R² — production correlation

+20 pts → Sensor quality → Bottom hole gauges remove wellbore noise, and single point entry data widens the gap from PnP (0.85) to NCS (0.96).