Processes
Estimate data uncertainty
How estimate data uncertainty are reshaped as AGI capability advances.
ProcessesEstimate data uncertainty
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Estimate data uncertainty sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Estimate data uncertainty inherits.
Where Estimate data uncertainty sits
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How the work flows
Trigger: Receipt of raw geoscientific or production datasets triggers the evaluation of measurement and interpretation limits.
- Ingest raw geological, geophysical, and production datasets
- Review data acquisition parameters and equipment calibration limits
- Identify sources of measurement, processing, and interpretation error
- Calculate statistical confidence intervals and error margins
- Assign probabilistic distributions to the data variables
- Document and publish uncertainty parameters in the central data repository
Outcome: Uncertainty ranges and confidence intervals are formally assigned to the dataset for use in probabilistic reservoir modeling and reserves estimation.
Measured by
Assessment Cycle TimeData Confidence ScoreDownstream Model VarianceData Rework Rate