Discovering Deposits: AI at Work in Mining Explorations

Mining Explorations

Mining explorations require large investment and is a costly undertaking. Identifying and finding the right place to mine is a critical step in mining operations. Locating good and large amount of material to extract from the ground is the first step but it is not as easy as it sounds. Mineral prospecting and exploration are complex and involves a long process traditionally conducted by a geologist to identify the type and location of the mineral reserve.

With discoveries of deposits far in between and cost increasing, mining companies are now utilizing the technology of artificial intelligence and machine learning to improve precision of mineral deposit discovery. There is no more room for guesswork. With AI, exploration can be calculated, and accuracy improved because digging in the wrong direction can mean millions of resources wasted.

Mining Explorations

AI in Mining Exploration

Different technology is at work to identify new and potentially valuable areas to mine or drill. Geophysical, geochemical, geological data, regional structure, pattern matching, and known deposits were some traditional data points considered. With AI more data points can be incorporated to streamline the mineral exploration system and improve the odds of making an economic discovery.

With today’s technology additional data points from remote sensing, gravity, aeromagnetic and radiometric surveys, digital terrain, computer vision system and predictive analytics can be combined with traditional data for AI to analyze vast quantities of information to predict the location and delineate new targets for prospective resource area.

Use Cases

The last few years more companies are incorporating AI in their operation including mining exploration with varied use-cases. AI-based mining exploration algorithms have been used to identify mineral deposits in greenfield sites, and drones used for autonomous drilling to minimize cost. 3D maps have been developed to identify visual mapping for more complex and large exploration sites. Cloud-based image analysis to categorize and segment geological imagery and videos provides more time to geologist interpret results than collating and working on data. There are also use cases to help evaluate risks and potential environmental impact to develop solutions factoring in the ecological costs of the operation.

Mining is disruptive and destructive to the environment. Artificial intelligence is helping to transform the mining industry into a safer, more profitable, and more environmentally friendly industry. Improving resource discovery accuracy through AI can minimize disruptions and avoid unnecessary damage to the environment.

Get In Touch

Get in touch with AI Consulting Group via email, on the phone, or in person.

Email Us.

Send us an email with the details of your enquiry including any attachments and we’ll contact you within 24 hours.

info@aiconsultinggroup.com.au

Call Us.

Call us if you have an immediate requirement and you’d like to chat to someone about your project needs or strategy.

+61 2 8283 4099

Meet in Person.

We would be delighted to meet for a coffee, beer or a meal and discuss your requirements with you and your team.

Book Meeting