QIMC Demonstrates Multi-Season Consistency of Hydrogen Anomalies Across Three Expanded Drill-Ready Target Zones at West Advocate, Nova Scotia

Core Insights - The recent geological site work program by Québec Innovative Materials Corp. (QIMC) has confirmed the persistence and geological significance of hydrogen anomalies across three expanded, drill-ready target zones in the West Advocate project area [1][2][3] Group 1: Geological Findings - A total of 452 soil-gas samples were collected, demonstrating consistent hydrogen anomalies across the West Advocate Structural Corridor in Nova Scotia [1] - Multi-season results validate that these hydrogen anomalies are spatially coherent and structurally controlled, which de-risks target definition and advances the project towards prioritized drilling [2][3] Group 2: Project Development - The confirmation of multi-season persistence and the consolidation of three expanded drill-ready target zones significantly reduces geological risk, positioning West Advocate as a scalable natural hydrogen development platform [3] - QIMC's exploration strategy focuses on systematically advancing multiple drill-ready opportunities within a single hydrogen corridor, rather than relying on a single exploration outcome [4] Group 3: Methodological Approach - To address seasonal variability and atmospheric conditions affecting soil-gas measurements, QIMC applied Z-score normalization to each soil-gas dataset, allowing for direct comparisons across survey periods [5][6] - The integration of normalized datasets indicates that persistent hydrogen anomalies are robust geological features, rather than transient environmental effects, further supporting the identification of drill-ready hydrogen target zones [8][9] Group 4: Technical Analysis - The summer sampling conducted at a median temperature of 26°C showed median hydrogen concentrations of 265 ppm(v), while the fall sampling at 14.2°C showed 135 ppm(v) [11][12] - The upper background limit for hydrogen was determined to be <318 ppm(v) for summer samples and <160 ppm(v) for fall samples, highlighting the need for normalization to account for seasonal bias [12][16]