Executive Summary: Structural Observational Inversion (SOI) This document introduces Structural Observational Inversion (SOI), a methodological framework authored by Fernando Louro in April 2026. While the provided excerpt serves as the formal cover and introductory identification, the work is positioned within the domain of structural analysis and inverse modeling. Overview The SOI framework likely addresses the intersection of observational data and structural modeling, focusing on the "inversion" process—where observed physical behaviors or sensor data are utilized to back-calculate, refine, or validate the underlying structural parameters and mathematical models.