PickX™ Neural Net Picker
A Neural Net First-Break Picker from XtremeGeo
Inhuman Results. Inhuman Speed.
Key Features
- Easy Model Training
- Train new models directly from Flatirons or Phoenix data.
- Use XtremeGeo-provided models or build your own proprietary models.
- Flexible Data Support
- Flatirons project data – no import required into Phoenix.
- Phoenix project data.
- SEG-Y data.
- Additional formats coming soon.
- Performance
- Lightning-fast, even on entry-level GPU cards.
- High-quality picks—often as good as or better than human picks, especially on difficult datasets.
Technical Details
- Built on LibTorch, the C++ foundation of PyTorch.
- Current release requires a GPU.
- Future releases will include CPU-only support for even broader accessibility.
⚡ PickX™ delivers the next generation of seismic first-break picking—combining speed, accuracy, and adaptability.
Analytical comparison results

Errors are in milliseconds
- PickX picks were not modified in any way
- PickX picks are made using the Amplitude Onset approach
- Comparison made using “Average Pick Error” of delay time and VNS tomography solutions
- User picks were given an advantage- they were usually refined using the delay time stack approach
- “User” picks are in general a combination of auto picks, manual picks, etc. and were made in Flatirons