US 12,067,505 B2
System and method for adjusting leaching operations based on leach analytic data
Dana Geislinger, Chandler, AZ (US); Travis Gaddie, Phoenix, AZ (US); Margaret Alden Tinsley, Titusville, FL (US); Muneeb Alam, Alexandria, VA (US); Steven Chad Richardson, Thatcher, AZ (US); Akaash Sanyal, Boston, MA (US); Raquel Crossman, Mesa, AZ (US); Tianfang Ni, Boston, MA (US); Cory A. Demieville, Scottsdale, AZ (US); Luke Gerdes, Framingham, MA (US); Robyn Freeman, Menlo Park, CA (US); Oleksandr Klesov, Lexington, MA (US); and Luciano Kiniti Issoe, Sao Paulo (BR)
Assigned to FREEPORT MINERALS CORPORATION, Phoenix, AZ (US)
Filed by FREEPORT MINERALS CORPORATION, Phoenix, AZ (US)
Filed on Apr. 25, 2023, as Appl. No. 18/306,640.
Application 18/306,640 is a continuation of application No. 17/985,446, filed on Nov. 11, 2022, granted, now 11,681,959.
Application 17/985,446 is a continuation of application No. 17/850,834, filed on Jun. 27, 2022, granted, now 11,521,138, issued on Dec. 6, 2022.
Prior Publication US 2023/0419198 A1, Dec. 28, 2023
Int. Cl. G06Q 10/04 (2023.01); C22B 3/06 (2006.01); C22B 15/00 (2006.01); G06Q 10/0631 (2023.01); G06Q 50/02 (2024.01)
CPC G06Q 10/04 (2013.01) [C22B 3/06 (2013.01); C22B 15/0067 (2013.01); C22B 15/0095 (2013.01); G06Q 10/0631 (2013.01); G06Q 50/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
simulating, by a processor, adjustments to a plurality of parameters in a simulation model for leaching operations for a stockpile to optimize mining production based on the plurality of parameters,
wherein leaching operations are conducted for the mining production, and
wherein mining data about the mining production is acquired from sensors that monitor the mining production;
forecasting, by the processor at a first time, the mining production using the plurality of parameters, future production assumptions, a predictive model and the simulation model,
wherein the first time is before the mining production is complete;
backcasting, by the processor at a second time, an expected mining production with the mining production having unexpected operational changes, wherein the backcasting uses the predictive model to determine deviations from the expected mining production,
wherein the second time is after the first time and after the mining production is complete;
refining, by the processor, the predictive model based on the deviations;
adjusting, by the processor, one or more of the plurality of parameters based on the deviations to obtain one or more adjusted parameters that represent the mining production;
re-forecasting, by the processor at the second time, the mining production using the one or more adjusted parameters, and
adjusting, by the processor, the leaching operations to continue and to optimize the mining production based on the one or more adjusted parameters.