VLTHR Lab Research

Subsurface Auditable Data Validation (SADV)

Data quality, provenance, and validation for subsurface data. Grade C: architecture recorded. Separates data organisation, system representation, uncertainty reduction, and decision validation.

Industrial Intelligence ongoing October 12, 2026

The problem

Subsurface data needs auditable validation: structured representation, provenance, quality control, lifecycle control, and uncertainty.

Work and evidence

The architecture separates data organisation, system representation, uncertainty reduction, and decision validation into distinct responsibilities.

Evidence limits

Validation rules, representative data, and real-data integration are not yet demonstrated.

Next validation gate

Document validation rules, representative data, exception handling, reproducibility, and real-data integration.

data-quality
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