High Tide Resources Announces 3D Geophysics Interpretation and Targeting Advancements at Labrador West Iron Project

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TORONTO, ON / ACCESSWIRE / March 20, 2024 / High Tide Resources Corp. ("High Tide" or the "Company") (CSE:HTRC) is pleased to provide a progress update for its flagship Labrador West Iron Project ("Lab West" or "The Project"). The Project, located in the southern Labrador Trough, is home to four operating iron mines producing high-grade and high-purity iron concentrates and pellets which are critical ingredients in the transition to low-carbon steel making techniques.

The Company has engaged ALS Goldspot Discoveries Ltd. to undertake 3D and 2D geophysics interpretation and targeting at its Lab West Deposit. This initiative involves analyzing inverted geophysical data (gravity and magnetics) to facilitate the development of a predictive model. The primary focus of this strategic endeavour is to delineate highly prospective areas, optimizing future drilling efforts to augment the resource base and enhance confidence levels in both existing and potentially expanded mineralization.

Steve Roebuck, Director & Interim CEO of High Tide states; "Through the integration of our existing geophysical data with cutting-edge interpretation techniques at Lab West, we aim to enhance our exploration capabilities. This strategic approach holds the potential to increase our understanding of the deposit's nuances, allowing us to make more informed drilling decisions that may drive efficiency and maximize the value of our iron resource."

This strategy integrates traditional knowledge-based interpretation with data driven approaches, including machine learning ("ML") enhancing and formulating a comprehensive exploration methodology. In addition to the 3D analysis of geophysical data targeting the existing mineralised resource to both improve the understanding of the deposit but also guide our interpretation of the probable extensions of the known mineralised zones. The 2D analysis is oriented towards property scale interpretation including structural interpretation, improving understanding the lithology, its controls on mineralisation and composite grid imaging. This work is all enhanced by the ML algorithm.

Geochemical assay data (from the diamond drill programmes) will be leveraged in the model to distinguish between areas of known mineralisation and areas that are barren, thereby enhancing the model's accuracy in defining mineralised zones. Importantly, the improved understanding of the mineralised zones and deposit will help improve understanding of existing and future metallurgical work that will support producing a direct reduction ("DR") quality iron ore concentrate and DR quality iron ore pellet.