AI model raises Kandiolé’s rating by 140%


Candiol Project Credit: Ruscan
Kandiouli project in western Mali, photo: Roscan Gold

Stormlands Mining, an Ireland-based data analytics company, has released a new case study on Roscan Gold’s Kandiolé gold project in western Mali. The results generated by the company’s artificial intelligence (AI) increased the value of the mine by approximately 140% compared to Roscan’s preliminary economic assessment (PEA) base.

Using updated gold prices for March 2026, Stormlands modeled an increase in net present value (NPV) from US$462.1 million to US$1.11 billion. Based on the same data set, the company estimated that lifetime revenue would increase from $2.56 billion to about $4.03 billion, with lifetime EBITDA increasing from $1.31 billion to about $2.64 billion. The typical payback period increased from 1 year and 9 months to 12 months.

In a press release, Róisín O’Connell, CEO of Stormlands, reiterated this Her argument Economic reports should be updated dynamically as metal prices change. “Kandioli is particularly interesting because the updated price situation is not dependent on remote late-life cash flows. Much of the value appreciation is generated early in the life of the mine, improving recovery and enhancing the capital recovery profile,” she added.

The case study is part of Stormlands’ efforts to create a set of resources for mining companies to forecast and evaluate economic conditions. Other studies have re-examined the Whistler, MPD, and Kalish projects.



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