Paper 190 of 383
Published May 31, 2026
Geological decisions are frequently made under uncertainty. The quality of those decisions often depends upon the number, independence, and persistence of supporting observations.
This framework evaluates decision confidence using measurable variables including constraint weighting, recurrence frequency, convergence density, structural continuity, signal persistence, and comparative robustness.
Reference applications include regional geological interpretation, basin analysis, structural assessment, resource evaluation, and comparative Earth-system investigation.
The objective is to establish a repeatable methodology for assessing confidence without requiring certainty.
Within ABC Sequencing, confidence emerges from accumulated constraints rather than individual observations. A region supported by numerous independent signals may justify greater confidence than a region supported by a single dominant observation.
The framework maintains a conservative scientific position: confidence may increase with evidence, but uncertainty never fully disappears.
This paper formalizes geological decision confidence and establishes a framework for evaluating how accumulated constraints influence interpretation quality.