Paper 273 of 383
Published June 1, 2026
Exploration programs operate under finite budgets, finite personnel, and finite time.
The primary challenge is rarely identifying possible opportunities. The challenge is determining which opportunities deserve investment before others.
This paper evaluates capital allocation through constraint weighting, support-network density, survivorship rankings, predictive contribution, and decision leverage.
The objective is to improve capital efficiency by directing resources toward opportunities supported by the strongest collection of independent observations.
Within ABC Sequencing, capital allocation becomes a ranking problem rather than a speculation problem.
The most efficient investment is often the one that reduces uncertainty fastest.
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