Freeport-McMoRan‘s patented method involves using historical and future data to predict mining production targets, comparing forecast data to actual data, identifying deviations, and adjusting parameters accordingly. The method includes monitoring leaching operations and activating deep raffinate injection to address potential issues like unleached copper in stockpiles. GlobalData’s report on Freeport-McMoRan gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Freeport-McMoRan, Extraction by leaching was a key innovation area identified from patents. Freeport-McMoRan's grant share as of May 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
Predictive model for mining production target with leaching operations
A recently granted patent (Publication Number: US11948103B2) outlines a method involving the acquisition of mining data from sensors monitoring mining production, particularly focusing on leaching operations. The processor then analyzes deviations between forecasted mining production targets and actual data, attributing these deviations to various parameters. One key parameter identified is the potential for unleached copper in a stockpile area, prompting the activation of deep raffinate injection to address this issue.
Furthermore, the method involves utilizing leach solutions to target the unleached copper, with the processor sending signals to machines for drilling holes at the appropriate depth. The process also includes tailoring the leach solution chemistry to the mineralogy of the unleached copper. Additionally, historical data is used to train a predictive model for forecasting mining production targets, with the inclusion of future assumption data based on mine plan data. The method aims to optimize mining operations by proactively addressing potential issues identified through data analysis and predictive modeling.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
