Paper 279 of 383
Published June 1, 2026
Exploration programs routinely generate more targets than available resources can evaluate.
The challenge therefore becomes prioritization.
Which target should be investigated first?
Which target deserves additional capital?
Which target is most likely to improve understanding if tested?
This paper evaluates target prioritization through constraint density, anomaly support networks, survivorship analysis, predictive contribution, geometric persistence, and decision leverage.
The objective is to improve exploration efficiency by ranking targets according to the strength of independent supporting evidence.
Within ABC Sequencing, prioritization emerges from constraints rather than preference.
The best target is not necessarily the most exciting target.
The best target is often the one supported by the strongest collection of independent constraints.
Ontomics develops frameworks for geological intelligence, exploration systems, geosteering workflows, and uncertainty reduction through constraint-driven analysis.
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