Alrosa has created an artificial intelligence-based system to discover new diamond deposits in complex geological conditions. The system helps to more accurately identify promising areas for geological exploration and reduces search time. The economic effect is estimated at hundreds of millions of rubles per project, the company's press service reports.
Traditional search methods have exhausted most of the large and accessible kimberlite pipes, so further discoveries require new solutions. The company uses large language models and neural network algorithms to accelerate the analysis of geological and geophysical data.
The new system was developed by Alrosa's Digital Laboratory and is trained on more than 50 years of the company's internal geological data. They were digitized and linked to the corporate geoinformation system. The model processes large amounts of information, provides recommendations to geologists, and more accurately identifies promising search areas.
The explored global diamond reserves are estimated at 1.7–1.9 billion carats, which, at the current level of production, will last for several decades; more than half of the reserves are concentrated in Russia.
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