Singaporean start-up Atomionics has unveiled a groundbreaking technology, Gravio, that leverages gravity and artificial intelligence to redefine ore body identification. This innovation is poised to not only reduce costs but also streamline the development of mineral projects. Atomionics has secured contracts with three major mining companies, focusing on critical metals essential for the energy transition, including copper, nickel, and zinc.
Precision Mapping with Gravio: A Virtual Drill Approach
Gravio, often referred to as a “virtual drill,” outperforms traditional air-based survey techniques by collecting and analyzing data with unprecedented precision. The technology is currently being deployed in Australia and the U.S., with mining majors expected to complete data collection and analysis early next year. CEO Sahil Tapiawala underscores the importance of targeting critical minerals and emphasizes the potential for substantial cost savings.
Traditional drilling methods can be expensive, with a single drill hole costing between A$10,000 to A$50,000. For example, a lithium miner may need up to 400 holes to confirm a resource, making Gravio’s accurate virtual mapping before drilling a financially viable alternative. Atomionics aims to address the challenge of encountering “empty” samples by reducing them by at least half. The real-time data processing capability of Gravio, powered by artificial intelligence, enhances efficiency in defining ore bodies.
Beyond Conventional Exploration: The Rise of AI in Mining
While the mining industry utilizes various exploration techniques such as ground-penetrating radar and aeromagnetic surveys, Atomionics’ approach stands out for its precision and cost-effectiveness. This trend towards innovative technologies is not unique to Atomionics, as other companies like KoBold Metals in California are also employing artificial intelligence for metal exploration.
Atomionics’ strategic deployment of Gravio is backed by Singapore-based government agencies and strategic investors. The technology’s potential as a low-cost alternative to traditional exploration methods has attracted attention, particularly within the energy industry, which traditionally relies on seismic data for drilling projects. Atomionics gravity-based and AI-driven approach represents a significant leap forward in the quest for efficient and cost-effective mineral exploration.
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