System and method for determining estimated remaining mineral in a stockpile

An article of manufacture including a non-transitory, tangible computer readable storage medium having instructions stored thereon that, in response to execution by a processor, cause the processor to perform operations comprising:

• obtaining, by the processor, days under leach, chemistry data and mineralogy data from a column test of a column of ore from a section of a stockpile;
• adjusting, by the processor, process parameters applied to the column of ore to create controlled conditions;
• increasing, by the processor, accuracy of the chemistry data and the mineralogy data based on the controlled conditions;
• providing, by the processor, the chemistry data and the mineralogy data to a machine learning model to build a column test predictive model;
• and
• determining, by the processor using the machine learning model, estimated remaining mineral in the section of the stockpile based on the column test predictive model.

A system comprising:

• a processor;
• and
• a tangible, non-transitory memory configured to communicate with the processor,
• the tangible, non-transitory memory having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations comprising:
• obtaining, by the processor, days under leach, chemistry data and mineralogy data from a column test of a column of ore from a section of a stockpile;
• adjusting, by the processor, process parameters applied to the column of ore to create controlled conditions;
• increasing, by the processor, accuracy of the chemistry data and the mineralogy data based on the controlled conditions;
• providing, by the processor, the chemistry data and the mineralogy data to a machine learning model to build a column test predictive model;
• and
• determining, by the processor using the machine learning model, estimated remaining mineral in the section of the stockpile based on the column test predictive model.