Engineering QC with reproducible evidence

Drilling engineering QC with reproducible evidence

Validate survey, motor, clearance, and engineering datasets using deterministic checks, versioned evidence, and advisory AI.

Deterministic calculations. Traceable checks. Advisory AI.

Product pillars

Deterministic engineering checks

The same inputs always produce the same result. Calculations are reproducible, not probabilistic.

Evidence-backed results

Every check is versioned and traceable, so a result can be reviewed and reproduced.

Synthetic and controlled validation datasets

Public demonstrations use controlled synthetic scenarios — never customer data.

Human-governed decisions

Qualified people retain engineering decision authority at every gate.

Advisory AI, never engineering authority

AI explains and summarizes. It does not determine engineering results or approve them.

How it works

Provide engineering inputs

Load survey, motor, or clearance inputs into a controlled, versioned dataset.

Run deterministic checks

Checks execute deterministically against the versioned inputs.

Review warnings and evidence

Inspect status, warnings, and the evidence behind each result.

Export a traceable result

Export a result that can be reproduced and reviewed later.

Supported capabilities

Survey QC

Directional survey continuity, dogleg plausibility, and depth checks.

Motor analysis

Steerable-motor configuration summaries and build-rate projections.

Collision & clearance

Minimum center-to-center clearance between well paths.

Dataset replay

Re-run a versioned dataset and confirm the result reproduces.

Evidence exports

Structured, reviewable evidence and result exports.

AI-assisted explanation

Advisory summaries and navigation — never a source of engineering truth.

Governance

  • Calculations remain deterministic and reproducible.
  • AI explanations are advisory and never engineering authority.
  • No customer data is used in public demonstrations — synthetic data only.
  • Unresolved engineering models are not presented as production truth.

Contact

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In the meantime, see the product overview and methodology.