AURORA OSI

From scan output to decision intelligence.

Aurora OSI normalizes existing cell-level scan data, enforces calibration quality, assigns confidence classes, estimates resource proxies, scores recovery feasibility, and computes ESG impact metrics.

Foundation

Calibration enforcement

Cells must carry active calibration, inversion scaffolding, structural seed, and non-zero variance. Failed cells are downgraded or suppressed rather than cosmetically promoted.

Resource layer

Proxy and reservoir physics

Volume proxy, concentration proxy, host probability, porosity proxy, permeability proxy, and flow likelihood are derived from existing scan signals and commodity-specific rules.

Sales layer

Reports and ESG metrics

Recovery feasibility, economic friction, ESG delta, carbon avoided, water saved, and land disturbance avoided can be surfaced in buyer-facing reports.

Runtime pipeline

The same intelligence pipeline powers saved-scan upgrades, live scan payloads, ESG calculator outputs, and NI 43-101-aligned report sections.

1. NormalizeCell schema from ACIF, variance, sensors, and structure.
2. GateCalibration and lineage requirements.
3. ClassifyMeasured, Indicated, Inferred, or Suppressed.
4. EstimateResource, reservoir, recovery, and economic proxies.
5. PublishRanked zones, ESG metrics, and buyer reports.