SR-07Fundacional
Control de Calidad y Síntesis de Registros
Finds the bad intervals in the log archive and reconstructs curves that were never run, so the field has a complete set to work from.
Inteligencia de Subsuelo y YacimientoIA
SR-03IntermediaOla 2IA
Clasificación Automatizada de Facies
En una frase
Labels rock type from well logs across hundreds of wells consistently, which a team of interpreters working separately cannot do.
El problema
Facies interpretation in a mature field spans decades and dozens of interpreters. The same log response has been called three different things in three different studies, and the geomodel inherits all three.
Cómo funciona
A supervised classifier is trained on core-calibrated intervals and applied field-wide, with per-prediction confidence. Where the model is uncertain it abstains and routes the interval to an interpreter rather than guessing, and abstention rate is reported as a headline number.
Datos necesarios
- Standard log suite: GR, resistivity, density, neutron, sonic where available
- Core descriptions with depth-shifted core-to-log ties
- Existing facies interpretations for benchmark comparison
- Environmental corrections and normalisation between logging vintages
Qué obtiene
- Facies curve per well with confidence and abstention flags
- Field-wide facies consistency report against legacy interpretations
- RESQML export for the geomodelling workflow
Qué no puede hacer
The model reproduces the scheme it was taught, including its errors. It cannot resolve facies that are not separable in the logged response — a cemented and an uncemented sand with the same porosity will not be split by a standard suite, no matter how the model is trained, and we say that up front rather than after delivery.
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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