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

US11948103B2 · kind B2 · utility

Assignee

• FREEPORT MINERALS CORPORATION · US

Inventors

• Dana Geislinger · Chandler, US
• Travis Gaddie · Phoenix, US
• Margaret Alden Tinsley · Titusville, US
• Muneeb Alam · Alexandria, US
• Steven Chad Richardson · Thatcher, US
• Akaash Sanyal · Boston, US
• Raquel Crossman · Mesa, US
• Tianfang Ni · Boston, US
• Cory A. Demieville · Scottsdale, US
• Luke Gerdes · Framingham, US
• Robyn Freeman · Menlo Park, US
• Oleksandr Klesov · Lexington, US
• Luciano Kiniti Issoe · São Paulo, BR

Key dates

• Filing date: Jun 22, 2023
• Grant date: Apr 2, 2024
• Expiry date: Jun 22, 2043

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02P10/20
• WIPO field: Materials, metallurgy
• WIPO sector: Chemistry

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.