Freeport Minerals Corporation

Dana Geislinger

Steven Chad Richardson

Raquel Crossman

Margaret Alden Tinsley

Travis Gaddie

Oleksandr Klesov

Luciano Kiniti Issoe

Tianfang Ni

Luke Gerdes

Muneeb Alam

Akaash Sanyal

Robyn Freeman

Cory A Demieville

Amelia Briggs

Cristian Caro

Kevin Cheng

Rosemary D Blosser

The method may comprise receiving historical data (e.g., mineralogy data, irrigation data, raffinate data, heat data, lift height data, geographic data on ore placement and/or blower data); training a predictive model using the historical data to create a trained predictive model; adding future assumption data to the trained predictive model; running the forecast engine for a plurality of parameters to obtain forecast data for a mining production target; comparing the forecast data for the mining production target to the actual data for the mining production target; determining deviations between the forecast data and the actual data, based on the comparing; and changing each of the plurality of parameters from the forecast data to the actual data to determine a contribution to the deviations for each of the plurality of parameters.

System and method for activating deep raffinate injection based on column test predictive model

System and method for adjusting leaching operations based on leach analytic data

The system may include a secondary irrigation feature that determines a percent of overlap of each of a plurality of submodules in a second lift over each of a plurality of submodules in a first lift and adjusts at least one of leaching operations or a leaching model based on the total tonnage weighted average of metal in the second lift. The method may further comprise determining an acid gap based on a difference between total acid given and total acid consumption; and further adjusting at least one of the leaching operations or the leaching model based on the acid gap. The method may further comprise determining a percentage of compacted material based on the material that is compacted and irrigated divided by the material that is irrigated; and further adjusting at least one of the leaching operations or the leaching model based on the percentage of compacted material.

Irrigation impacts on a leach stockpile

System and method for activating deep raffinate injection based on ore placement

System and method for determining changes to a heat profile of a stockpile

System and method for determining a dump location for a vehicle

System and method for determining lift heights of a stockpile

System and method for activating deep raffinate injection based on leach analytic data

System and method for assigning a haul truck dump to a location

System and method for determining a location of ore in a stockpile

System and method for determining estimated remaining mineral in a stockpile

The system may include a secondary irrigation feature that determines a percent of overlap of each of a plurality of submodules in a first lift over each of a plurality of submodules in a second lift and adjusts at least one of leaching operations or a leaching model based on the total tonnage weighted average of metal in the second lift. The method may further comprise determining an acid gap based on a difference between total acid given and total acid consumption; and further adjusting at least one of the leaching operations or the leaching model based on the acid gap. The method may further comprise determining a percentage of compacted material based on the material that is compacted and irrigated divided by the material that is irrigated; and further adjusting at least one of the leaching operations or the leaching model based on the percentage of compacted material.

Chemical impacts on a leach stockpile

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Chandler, AZ, United States of America

Dana Geislinger