Uranium and Rare Earth Metals
A paper on machine learning in the management of in-situ leaching fields: forecasting the recovery profile, assessing the risk of technological solution migration and handling uncertainty in the hydrogeological model.
The platform's calculation methods are taken to external review: industry conferences, peer-reviewed publications, a scientific adviser with forty years in the field and a partnership with a specialist university. For a state client this settles the competence question before the technical discussion begins.
A paper on machine learning in the management of in-situ leaching fields: forecasting the recovery profile, assessing the risk of technological solution migration and handling uncertainty in the hydrogeological model.
The first covers forecasting of technological solution excursions beyond the design contour from observation well data. The second describes an AI assistant for well field management: the architecture of the language layer over production data and the confirmation loop for control decisions.
Exchange of materials and alignment on a possible pilot format. A separate track from the operating commercial pilot in in-situ leaching.
China's first mining university. A memorandum of understanding dated 16 July 2026: a joint research project and co-authorship of publications on digital monitoring and automation of extraction control. The university takes part in developing the platform's calculation core and validates the methodology in use.
China's first mining university and our research partner on the platform's calculation core. Joint work covers the calculation architecture, leaching control methods and the approach to machine-learning forecasting models.
Jiaozuo, Henan Province, China
Regular exchange of materials and problem statements between the engineering team and the relevant department: the university is inside the working loop, not signing off on finished work.
The calculation core — hydrogeology, kinetics, balance — is discussed and refined jointly before it enters a client's production contour.
A client gets not only a working calculation but a scientific reference for where the method came from and who reviewed it.
Geologist, forty years in the uranium industry: exploration, resource evaluation, mining, processing.
The research contour solves three applied problems, and none of them is about reputation.
A calculation that has been published and peer-reviewed cannot be dismissed with "where did this figure come from".
Hydrogeology and leaching kinetics are domains where a model error costs more than a coding error.
Publications and a university partnership are a formal requirement of most support instruments for industrial IT projects.
We are open to joint work on hydrogeological modelling, leaching kinetics and methods of controlling solution migration.