The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 01, 2024
Filed:
Jun. 27, 2022
Freeport Minerals Corporation, Phoenix, AZ (US);
Oleksandr Klesov, Lexington, MA (US);
Luke Gerdes, Framingham, MA (US);
Dana Geislinger, Chandler, AZ (US);
Margaret Alden Tinsley, Titusville, FL (US);
Robyn Freeman, Menlo Park, CA (US);
Akaash Sanyal, Boston, MA (US);
Muneeb Alam, Alexandria, VA (US);
Raquel Crossman, Mesa, AZ (US);
Travis Gaddie, Phoenix, AZ (US);
Steven Chad Richardson, Thatcher, AZ (US);
Tianfang Ni, Boston, MA (US);
Cory A. Demieville, Scottsdale, AZ (US);
Luciano Kiniti Issoe, Sao Paulo, BR;
FREEPORT MINERALS CORPORATION, Phoenix, AZ (US);
Abstract
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.