SR-05Frontera
Modelado Generativo Entre Pozos
Fills the rock between wells with geologically plausible detail instead of a smooth interpolation that no outcrop ever looked like.
Inteligencia de Subsuelo y YacimientoIA
SR-06FronteraOla 3IA
Interpretación Sísmica con Aprendizaje Profundo
En una frase
Picks faults and horizons across a full seismic volume in hours, leaving the interpreter to judge rather than to click.
El problema
Manual fault interpretation on a large 3D survey takes weeks and is interpreter-dependent to the point that two specialists produce visibly different fault frameworks from the same volume.
Cómo funciona
Convolutional segmentation networks trained on synthetic and operator-labelled volumes produce fault probability and horizon surfaces, which the interpreter edits rather than draws. Every automated pick carries a probability, and low-probability regions are highlighted for manual review.
Datos necesarios
- Post-stack or pre-stack migrated seismic volume in SEG-Y
- Existing interpreted faults and horizons for fine-tuning
- Well ties and checkshot or VSP data
- Processing history and acquisition parameters
Qué obtiene
- Fault probability volume and extracted fault surfaces
- Auto-tracked horizons with confidence
- Attribute volumes aligned to the interpreted framework
Qué no puede hacer
Performance drops sharply on data with a different processing signature from the training set, and re-processing a survey can invalidate a tuned model. In low signal-to-noise zones — below salt, under gas clouds — it produces confident-looking artefacts, so those zones are masked and flagged rather than interpreted.
Cada página de capacidad declara una limitación real. Si un proveedor no puede decirle dónde termina su producto, no le están diciendo la verdad sobre dónde empieza.
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