AI drafts the faults, the geophysicist finishes them

01

The challenge

Picking faults by hand across a large 3D volume takes weeks of an experienced interpreter’s time, and much of it goes into routine, repetitive picking.

02

How GeoDeep handles it

1. 01

   The fault segmentation model runs across the full volume and produces a fault probability cube with calibrated confidence.

2. 02

   Fault sticks and surfaces are generated from the probabilities and appear in the Interpretation Studio, clearly labeled as AI drafts.

3. 03

   Active learning highlights the regions where the model is least certain and where a correction would teach it the most.

4. 04

   The interpreter reviews and corrects those regions first, then the rest of the model as needed.

5. 05

   Corrections are stored as training labels. The model is retrained, compared with the previous version in a blind test and released only after approval.

03

What changes

• Interpreter time goes into geological judgment instead of routine picking.
• AI drafts and human edits are always visually distinct and fully versioned.
• The model gets better on your data with every project.