Computational Science

Resource Models for Mining Decisions With Explicit Uncertainty

Published 2026-08-22 · Updated 2026-08-22

Evidence status: Decision-method guide; not a completed investigation or final validation.

The decision this guide supports

which geological hypothesis or data gap most affects the next exploration decision

Why the problem is difficult

The article-specific identification challenge is whether the question “which geological hypothesis or data gap most affects the next exploration decision” can be resolved using sampling, spatial continuity, geology, assay quality, density, cutoffs, recovery, and uncertainty, rather than merely restated in new language.

A falsifier-first workflow

• Define the decision precisely: which geological hypothesis or data gap most affects the next exploration decision.
• Build a source and data ledger around sampling, spatial continuity, geology, assay quality, density, cutoffs, recovery, and uncertainty.
• Compare the inherited route with a mechanistically distinct alternative and a constraint-based null.
• Actively search for the strongest counterevidence relevant to this decision, including boundary cases and prior failures.
• Run the lowest-cost discriminating challenge: blind-test the model on withheld drilling or sampling.
• Record pursue, reframe, or stop, the confidence level, the evidence ceiling, and who owns downstream validation.

Decision criteria

• Decision impact: would the result materially change the choice about which geological hypothesis or data gap most affects the next exploration decision?
• Evidence fit: does the available evidence—sampling, spatial continuity, geology, assay quality, density, cutoffs, recovery, and uncertainty—directly address the decision rather than merely correlate with it?
• Discrimination: does the preferred route predict an outcome a credible alternative does not?
• Robustness: does the ranking survive the challenge “blind-test the model on withheld drilling or sampling”?
• Validation boundary: is the conclusion no stronger than the available sources, data and computation?

Supporting evidence

sampling, spatial continuity, geology, assay quality, density, cutoffs, recovery, and uncertainty

Counterevidence

For this decision, a result from “blind-test the model on withheld drilling or sampling” that reverses or flattens the ranking must remain visible even when it is commercially inconvenient.

Computation

Here computation earns its place only if it changes the choice about which geological hypothesis or data gap most affects the next exploration decision or exposes why the available evidence cannot resolve it.

Fastest falsifier

blind-test the model on withheld drilling or sampling

When to stop or reframe

A decision-specific stop trigger is failure of the challenge “blind-test the model on withheld drilling or sampling” without an independently supported alternative mechanism.

Evidence ceiling

This is not a resource estimate, competent-person report, investment recommendation, or mine plan.

Sources and starting points

• NASA Earthdata — Open Earth-observation data, tools, and documentation.
• NOAA Open Data Dissemination — Official weather, ocean, climate, and environmental data access.
• USGS Data — Public geological, hydrological, ecological, and hazard datasets.
• NOAA National Centers for Environmental Information — Additional authoritative starting point selected for this decision area; applicability must be checked against the precise question.
• NIST Data Repository — Additional authoritative starting point selected for this decision area; applicability must be checked against the precise question.

Continue the decision journey

1. Computational Physics for Decisions, Not Simulation Theater
2. Compare Simulation Models Before Tuning One to Fit
3. Order-of-Magnitude Analysis: The Fastest Physical Falsifier
4. The Evidence Ceiling in Computational Physical Science

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Frequently asked questions

What decision does “Resource Models for Mining Decisions With Explicit Uncertainty” help make?

It supports a bounded decision about which geological hypothesis or data gap most affects the next exploration decision. The framework keeps alternatives, evidence, counterevidence, uncertainty, and the fastest falsification test visible.

What is the fastest useful test?

blind-test the model on withheld drilling or sampling

Can computation validate the final scientific claim?

No. This is not a resource estimate, competent-person report, investment recommendation, or mine plan. Computation can prioritize and eliminate directions; final validation remains with the appropriate domain methods and accountable specialists.

When should the project stop or reframe?

Stop or reframe when the model violates a hard constraint, is non-identifiable, depends on an unsupported boundary condition, fails benchmark or field comparison, or cannot resolve the decision at realistic uncertainty.