PickX™ Neural Net Picker

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