CASE STUDY: Compañía Minera San Gerónimo (CMSG)
Gaining predictive insights before drilling
“Mining is built on experience, but the future belongs to those who adapt. By integrating Mineral Forecast’s technology with our deep industry knowledge, we ensure our company thrives for generations to come.”
Compañía Minera San Gerónimo (CMSG) embraces Mineral Forecast technology to ensure and accelerate future success.
Compañía Minera San Gerónimo (CMSG), founded in 1988 by the Rendic family, is a Chilean mining company specializing in the extraction and processing of copper, silver, and gold. Operating in the Coquimbo Region, CMSG produces copper concentrate with silver content, gold concentrate, and copper sulfate for various applications. The company emphasizes regional development and responsible mining practices, employing over 800 people and engaging in sustainable initiatives.
Born into a mining family, Patricio has a deep-rooted understanding of the industry, complemented by his expertise as an industrial civil engineer specializing in mining. Now as CEO of CMSG, he is dedicated to the company’s longevity, balancing respect for traditional knowledge with a forward-thinking approach. By inspiring trust in technology, he successfully shifted the mindset of geologists who once relied solely on conventional methods, empowering them to embrace modern tools that enhance both productivity and accuracy.
“Within our segment of the industry, adaptation and evolution are fundamental. Therefore, by integrating Mineral Forecast technology into a critical stage of our business, we add value to the project, optimizing resources, and accelerating the results of the exploration process.”
— Patricio Rendic Munizaga, CEO and GM, Compañía Minera San Gerónimo (CMSG)
With Mineral Forecast, CMSG integrates traditional mining with AI insights.
With the Mineral Forecast Geo AI Advisor, CMSG has predicted mineralization at two new targets, without needing to break ground. With these predictive insights, CMSG is ready to drill with confidence.
- Enhanced the value of an historical district, despite scarce and scattered data in the area of interest
- Enriched available information through the integration of reinterpreted layers and public data
- Validated previously recognized targets
- Reinforced the exploration team’s findings
- Identified key layers for machine learning
- Emphasized the need for expansion of key layers to improve prediction accuracy, geological understanding, and model reach
- Discovered new areas of interest
- Justified attainment of further data for confirmation and assessment of targets
“Integrating Mineral Forecast facilitates the ability to make more intelligent, expeditious, and reliable decisions.”
— Patricio Rendic Munizaga, CEO and GM, Compañía Minera San Gerónimo (CMSG)