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公开(公告)号：US20240124951A1
公开(公告)日：2024-04-18
申请号：US18398613
申请日：2023-12-28
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Dana Geislinger , Travis Gaddie , Margaret Alden Tinsley , Muneeb Alam , Steven Chad Richardson , Akaash Sanyal , Raquel Crossman , Tianfang Ni , Cory A. Demieville , Luke Gerdes , Robyn Freeman , Oleksandr Klesov , Luciano Kiniti Issoe
IPC: G06Q10/04 , C22B3/06 , C22B15/00 , G06Q10/0631 , G06Q50/02
CPC classification number: G06Q10/04 , C22B3/06 , C22B15/0067 , C22B15/0095 , G06Q10/0631 , G06Q50/02
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.
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公开(公告)号：US20240026493A1
公开(公告)日：2024-01-25
申请号：US18480377
申请日：2023-10-03
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Sarah Lyons , Joanna M. Robertson , Casey J. Clayton , Richard Melecio Sanchez , Raquel Crossman , Luciano Kiniti Issoe , Tianfang Ni , Oleksandr Klesov , Luke Gerdes , Muneeb Alam , Chase Zenner , John Warren Dean, JR.
CPC classification number: C22B7/007 , C22B3/04 , G05D16/20 , G08B21/182 , C22B15/0065 , Y02P10/20 , G05D16/101
Abstract: The present disclosure provides a method comprising determining an ore map for a heap to identify a location of a recoverable metal-bearing material in the heap, wherein the metal-bearing material comprises iron and at least one other metal value, delivering a leaching solution from a leaching solution source to a leaching solution regulating system, wherein the leaching solution comprises an effective amount of citric acid and hydrogen peroxide, regulating at least one of a pressure, a mass flow rate, or a volumetric flow rate of the leaching solution to achieve a target operational condition, wherein the target operational condition is selected to optimize a set of operational parameters to maximize recovery of the at least one other metal value, delivering the leaching solution at the target operational condition from the leaching solution regulating system to the subsurface leaching distribution system, and delivering the leaching solution at the target operational condition from the subsurface leaching distribution system to the location of the recoverable metal-bearing material under a surface of the heap to leach and recover the at least one other metal value.
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公开(公告)号：US20230417724A1
公开(公告)日：2023-12-28
申请号：US17850866
申请日：2022-06-27
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Cory A. Demieville , Dana Geislinger , Travis Gaddie , Margaret Alden Tinsley , Muneeb Alam , Steven Chad Richardson , Akaash Sanyal , Raquel Crossman , Tianfang Ni , Luke Gerdes , Robyn Freeman , Oleksandr Klesov , Luciano Kiniti Issoe
CPC classification number: G01N33/24 , G01N15/0227
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.
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公开(公告)号：US11823099B1
公开(公告)日：2023-11-21
申请号：US18306749
申请日：2023-04-25
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Luciano Kiniti Issoe , Tianfang Ni , Oleksandr Klesov , Luke Gerdes , Raquel Crossman , Muneeb Alam , Dana Geislinger , Travis Gaddie , Margaret Alden Tinsley , Steven Chad Richardson , Akaash Sanyal , Cory A. Demieville , Robyn Freeman
IPC: G06Q10/04 , G06Q50/02 , C22B15/00 , C22B3/06 , G06Q10/0631
CPC classification number: G06Q10/04 , C22B3/06 , C22B15/0067 , C22B15/0095 , G06Q10/0631 , G06Q50/02
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.
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公开(公告)号：US12260371B2
公开(公告)日：2025-03-25
申请号：US17850895
申请日：2022-06-27
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Dana Geislinger , Travis Gaddie , Margaret Alden Tinsley , Muneeb Alam , Steven Chad Richardson , Akaash Sanyal , Raquel Crossman , Tianfang Ni , Cory A. Demieville , Luke Gerdes , Robyn Freeman , Oleksandr Klesov , Luciano Kiniti Issoe
IPC: G06Q10/0631 , G06Q10/0639 , G06Q10/087 , G06Q50/02
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.
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Patent Agency Ranking
公开(公告)号：US20250044094A1
公开(公告)日：2025-02-06
申请号：US18925279
申请日：2024-10-24
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Luciano Kiniti Issoe , Tianfang Ni , Luke Gerdes , Dana Geislinger , Travis Gaddie , Margaret Alden Tinsley , Muneeb Alam , Steven Chad Richardson , Akaash Sanyal , Raquel Crossman , Cory A. Demieville , Robyn Freeman , Oleksandr Klesov
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.
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公开(公告)号：US12169796B2
公开(公告)日：2024-12-17
申请号：US18433776
申请日：2024-02-06
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Dana Geislinger , Travis Gaddie , Margaret Alden Tinsley , Muneeb Alam , Steven Chad Richardson , Akaash Sanyal , Raquel Crossman , Tianfang Ni , Cory A. Demieville , Luke Gerdes , Robyn Freeman , Oleksandr Klesov , Luciano Kiniti Issoe
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.
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公开(公告)号：US20240026492A1
公开(公告)日：2024-01-25
申请号：US18480354
申请日：2023-10-03
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Casey J. Clayton , Richard Melecio Sanchez , Raquel Crossman , Luciano Kiniti Issoe , Tianfang Ni , Oleksandr Klesov , Luke Gerdes , Muneeb Alam , Joanna M. Robertson , Chase Zenner , John Warren Dean, JR.
CPC classification number: C22B7/007 , C22B3/04 , G05D16/20 , G08B21/182 , C22B15/0065 , Y02P10/20 , G05D16/101
Abstract: The present disclosure provides a method comprising determining an ore map for a heap to identify a location of a recoverable metal value in the heap, delivering a leaching solution from a leaching solution source to a leaching solution regulating system, regulating at least one of a pressure, a mass flow rate, or a volumetric flow rate of the leaching solution to achieve a first target operational condition, wherein the first target operational condition is selected to optimize a set of operational parameters to maximize recovery of the recoverable metal value, delivering the leaching solution at the first target operational condition from the leaching solution regulating system to a subsurface leaching distribution system, and delivering the leaching solution at the first target operational condition from the subsurface leaching distribution system to the location of the recoverable metal value under a surface of the heap to leach and recover at least one metal value.
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公开(公告)号：US12259256B2
公开(公告)日：2025-03-25
申请号：US17850880
申请日：2022-06-27
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Dana Geislinger , Margaret Alden Tinsley , Akaash Sanyal , Robyn Freeman , Travis Gaddie , Muneeb Alam , Steven Chad Richardson , Raquel Crossman , Tianfang Ni , Cory A. Demieville , Luke Gerdes , Oleksandr Klesov , Luciano Kiniti Issoe
IPC: G01C21/00
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.
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公开(公告)号：US20240418697A1
公开(公告)日：2024-12-19
申请号：US18817158
申请日：2024-08-27
Applicant: FREEPORT MINERALS CORPORATION
Inventor： Cory A. Demieville , Dana Geislinger , Travis Gaddie , Margaret Alden Tinsley , Muneeb Alam , Steven Chad Richardson , Akaash Sanyal , Raquel Crossman , Tianfang Ni , Luke Gerdes , Robyn Freeman , Oleksandr Klesov , Luciano Kiniti Issoe
IPC: G01N33/24 , G01N15/0227
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.
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