Intellectual Property India Publishes Patent Application for Hybrid Machine Learning And Geostatistical Method And System For Mineral Grade Prediction

MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202631123045 A) filed by Indian Institute Of Technology Indian School Of Mines, Dhanbad on October 14, 2026, for Hybrid Machine Learning And Geostatistical Method And System For Mineral Grade Prediction.

Inventors include Dr. Mrinal Kanti Mukherjee; Dr. Dipankar Ray; and Dr. B C Sarkar.

The application for the patent was published on October 23, 2026, under issue no. 43/2026.

Abstract: A computer-implemented method and system (120) for predicting mineral grade in a subsurface geological domain are disclosed. Borehole data (402) comprising geological feature variables, observed mineral grade values, and corresponding three-dimensional spatial coordin...