SR-02Frontera
Ajuste Histórico Automatizado
Tunes the reservoir model until it reproduces what the field actually produced, automatically and with the uncertainty kept rather than discarded.
Inteligencia de Subsuelo y YacimientoIADominio
SR-01FronteraOla 3IADominio
Simulación de Yacimiento con Proxy Inteligente
En una frase
A learned stand-in for the full reservoir simulator that answers in seconds instead of hours, so an engineer can test fifty scenarios instead of three.
El problema
A full-physics run on a multi-million-cell model takes six to thirty hours. Optimisation, uncertainty quantification and history matching all need hundreds of runs, so in practice they are replaced by a handful of hand-picked cases and engineering judgement.
Cómo funciona
A neural surrogate is trained on a designed ensemble of full-physics runs, learning the mapping from control and property inputs to pressure and saturation response. It is used only inside the training envelope, and every proxy answer that drives a decision is confirmed with one full-physics run before it leaves the team.
Datos necesarios
- A validated full-physics simulation deck for the field
- Compute budget for 200–500 training runs of that deck
- Historical production and injection by well
- Property model realisations covering the intended uncertainty range
Qué obtiene
- Sub-second forecast of field and well response to a control scenario
- Uncertainty envelope across the property ensemble
- Ranked scenario table for the reservoir management meeting
Qué no puede hacer
A proxy cannot extrapolate. Outside the range of controls and properties it was trained on it fails quietly rather than loudly, which is the dangerous failure mode, so the system refuses queries outside the training hull instead of answering them. It also needs an existing trustworthy simulation deck — it does not replace building one.
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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