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Big Data Analytics in Mineral Exploration

The efficiency and accuracy of mineral exploration is improving, thanks to advancements in predictive modeling, AI technology, and the use of big data analytics.

Accuracy is crucial in mineral exploration, and hinges on huge amounts of data that come together to identify mineral formations, their physical properties, and the surrounding landscape.

If this data isn’t interpreted correctly, it could compromise the entire exploration model and result in unnecessary drilling.

Big data analytics have been reinventing this process. The biggest benefit of data mining in mineral exploration is how programmes are able to scrutinise huge amounts of data and provide accurate, actionable insights.

With the evolution of AI and data analysis technology, like predictive modeling software, mining companies can more accurately locate and characterise mineral deposits in target areas, as well as identify geohazards, seismic disturbances, subsurface conditions, and much more.

These enhanced predicting capabilities facilitated by big data open doors of discovery, pointing operators towards new financially viable mineral deposits.

Key fact: 72% of companies said that big data was best for detecting predicting patterns in mineral exploration, while 19% chose reducing operational costs


  • More efficient exploration activity

  • Improves data quality and accuracy

  • Minimises unnecessary OPEX

Learn more insights by browsing our resource centre and learn about digital transformation trends among metals and mining companies in the Axora Innovation Forecast, which surveyed 150 senior industry decision makers.

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