Artificial Intelligence Study Confirms Prismo Metals' Exploration Plan at Hot Breccia

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VANCOUVER, BC / ACCESSWIRE / October 15, 2024 / Prismo Metals Inc. (the "Company") (CSE:PRIZ)(OTCQB:PMOMF) is pleased to announce that it has received the results of the artificial intelligence ("AI") study at the Hot Breccia project in Southern Arizona undertaken by Exploration Technologies Inc. ("ExploreTech") of California, USA.

The AI study results provide support for the Company's exploration plan at the project, identifying the most likely location for a large body of sulfide mineralization as the same general area as the historic drilling and the dike swarm with xenoliths of Cu-bearing skarn as well as the conductive anomaly from the 2023 ZTEM survey. The postulated sulfide mineralization measures 1,100 meters by 1,150 meters (Figure. 1).

<strong>Figure 1. </strong>Plan view of Hot Breccia the surface projection (in magenta) of the ‘probability cloud' representing the best drill target to test the Hot Breccia mineralized system. Green dots are permitted drill sites, yellow dots are historic drill holes.
Figure 1. Plan view of Hot Breccia the surface projection (in magenta) of the ‘probability cloud' representing the best drill target to test the Hot Breccia mineralized system. Green dots are permitted drill sites, yellow dots are historic drill holes.

Steve Robertson, President of Prismo Metals, stated "This study complements nicely historical information from the mid to late 1970's, including drill and geophysical data generated by a Rio Tinto subsidiary and by Phelps Dodge Corp (now Freeport McMoRan). Their drilling intersected high-grade copper mineralization in several holes at depths ranging from 640 to 830 meters below the surface. We believe those intercepts cut the periphery of the upper portion of a large mineralized system as interpreted from our surface geological data and reflected in the results of our ZTEM survey, and now the AI study."

ExploreTech's computer simulations have identified a large exploration target defined by the overlap of the numerous geological models. The study supports Prismo's model for mineralization and conforms with several key features, including (i) the presence of high-grade skarn mineralization at relatively shallow depths in historic drill holes, (ii) the presence of two areas where copper skarn fragments are present as xenoliths in quartz diorite dikes, and (iii) the location of a deeper IP anomaly in the historic information.

A drill hole optimization routine has identified several sets of potential exploration drill holes to test the greatest number of the models and has picked several important drill sites including in the area of historic holes OC-1, OCC-7 and OCC-8 as well as one kilometer to the west at historic hole OC-2. The Company is in the process of finalizing the drill hole selection.

Tyler Hall, PhD, Co-Founder and President of ExploreTech, stated: "ExploreTech is very pleased with the results of the AI-assisted drill optimization study at Hot Breccia. ExploreTech's xFlare technology combined Prismo's traditional science based geological and geophysical approach with cloud computing, and successfully simulated thousands of geological models which match the geophysics data and geological hypothesis. Thousands of candidate drillholes were simulated and then ranked based on the quantity and quality of geological information provided.