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Computer News Updated Dec 5, 2025

AI Revolution in Mining: How Algorithms Predict Mineral Deposits

The mining industry is turning to artificial intelligence to stay ahead in the race for critical minerals. AI algorithms can sift through massive amounts of geological data to pinpoint where deposits are likely to be found. This tech not only makes exploration more efficient but also significantly reduces environmental harm from unnecessary digging. Experts argue this data-driven approach is key to making smart investments and modernizing the entire sector.

AI accurately predicts location of mineral deposits

Tel Aviv, December 4

The race to find the mineral deposits needed to support the world's growing population and energy transition is on, and those using artificial intelligence technology for exploration and extraction are already leading the way.

AZERTAC reports that this was mentioned in the article "Application of artificial intelligence to the mining industry: realities and prospects" by Azer Shukurov, a teacher at the "Geology and development of mineral deposits" department of the Azerbaijan State Oil and Industry University, Doctor of Philosophy in Technical Sciences.

It was reported that artificial intelligence supports increased accuracy in exploration and production by using advanced algorithms to identify mineral deposits and precisely optimise operational processes. By analysing extensive geological data such as surveys, soil composition and historical production records, artificial intelligence algorithms can help accurately predict the location of mineral deposits, reducing unnecessary drilling and excavation. In real time, these algorithms assess changing geological conditions and adjust production techniques accordingly, ensuring efficient resource extraction, minimising waste and maximising productivity.

This accuracy minimises damage to the soil and protects surrounding ecosystems.

"The development of this sector in our republic requires an analysis of the volume and quality of the mineral potential, the commercial viability of this potential, expectations for future mineral production, and its economic efficiency. This analysis of the country's main mineral reserves, assessment of potential investment over time, can better inform policy and lead to strategic investments, which in turn will lead to further renewal and development of the sector," the article noted. (ANI/TPS)

— ANI

Reader Comments

Priya S

While the efficiency gains are impressive, I hope the focus on "minimising damage to the soil" is genuine and not just corporate greenwashing. We've seen too many mining projects in India disrupt local communities and ecosystems. The tech must be paired with strong regulations and community consent.

Vikram M

Interesting read. I work in tech in Bengaluru, and it's amazing to see AI applications moving into geology. Reduces unnecessary drilling - that's a huge cost saver and better for the environment. Hope Indian universities and PSUs like Coal India are paying attention.

Sarah B

The part about analyzing historical production records is key. India has centuries of mining history. Imagine feeding all that data into an AI model. The potential for discovering new veins in old areas is massive. A smart way to use our past for a better future.

Rohit P

Good step for energy transition. We need lithium, cobalt etc. for our EV and solar goals. If AI can help find these critical minerals within India, it will reduce our import dependence. Jai Hind! 🙏

Karthik V

The article mentions "strategic investments". This is where we often lag. We need to move faster from research papers to actual field deployment. Our startups can build these AI tools, but they need support and clear data-sharing policies from the geological survey.

We welcome thoughtful discussions from our readers. Please keep comments respectful and on-topic.

Reader Voices

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