Predictive Ore Location System for Heap Leach Optimization
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Solution Overview
Problem
Current heap leaching operations face inefficiencies in copper recovery due to variable oxygen availability, complex mineral lattices, and economic constraints, leading to suboptimal ore routing and processing costs, necessitating a system to optimize leach operations based on mineralogy, irrigation, and environmental data.
Innovation Solution
A predictive modeling system that integrates historical data from mineralogy, irrigation, and environmental sensors to train a Generalized Additive Model, forecast future operations, and adjust parameters in real-time to optimize copper recovery, including agglomeration, leach solution application, and oxygen introduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional ore routing based on mineralogy is used, then processing simplicity is maintained, but copper recovery efficiency deteriorates due to variable oxygen availability and complex mineral lattices
Solution Approach 1:
The system changes multiple parameters simultaneously including mineralogy composition, irrigation rates, oxygen introduction levels, and environmental conditions to optimize copper recovery. This multi-parameter optimization approach moves beyond traditional single-parameter mineralogy-based routing to achieve higher productivity while managing complexity through integrated monitoring.
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor ore characteristics, leaching progress, and environmental conditions, then adjust processing parameters in real-time. This feedback mechanism enables dynamic optimization of copper recovery while adapting to changing conditions, resolving the contradiction between improved productivity and system complexity through intelligent control.
2Productivity
If acid is increased to release more copper from ore, then copper recovery is improved, but processing cost deteriorates due to gangue mineral consumption
Solution Approach 1:
The system applies different acid concentrations and irrigation rates to different zones within the stockpile based on local ore characteristics and leaching progress. This localized treatment optimizes acid utilization by targeting areas with higher copper potential while reducing acid consumption in areas dominated by gangue minerals, thereby improving copper recovery efficiency while minimizing unnecessary acid consumption.
Solution Approach 2:
The system applies acid and irrigation in controlled partial amounts rather than excessive quantities, using predictive models to determine optimal application rates. This approach prevents over-application of acid that would be consumed by gangue minerals without contributing to copper recovery, thus improving the ratio of productive acid consumption to total acid usage.
3Quantity of substance
If ore is placed deeper in stockpile, then storage capacity is improved, but oxygen availability deteriorates leading to reduced leaching efficiency
Solution Approach 1:
The system introduces air blowers and oxygen injection systems as intermediary devices to deliver oxygen to deeper stockpile zones. These intermediaries overcome the natural limitation of oxygen diffusion by actively transporting oxygen to areas where ore is stored at greater depths, maintaining leaching efficiency while preserving the benefit of increased storage capacity through deeper stacking.
Solution Approach 2:
The system performs preliminary aeration and oxygen introduction before and during the leaching process to ensure adequate oxygen availability in deeper stockpile zones. By proactively managing oxygen distribution rather than relying on passive diffusion, the system maintains reliable oxygen availability throughout the stockpile volume, enabling both high storage capacity and effective leaching.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances copper recovery by optimizing leach operations, reducing costs, and increasing the economic viability of ore processing, allowing for more accurate long-term mine planning and improved resource management.
Implementation Method 1
oxidation is used. Sulfuric acid carries some oxidizing potential, but much of the driving force for leaching sulfides comes from the oxidation potential of ferric iron in solution
Implementation Method 2
Exposure to dilute sulfuric acid carries sufficient chemical energy to put the copper into solution
Implementation Method 3
When ferric iron oxidizes copper sulfide minerals, the ferric iron is converted to ferrous iron. The ferrous iron is converted back to ferric iron to further oxidize copper sulfide minerals
Implementation Method 4
various means of introducing oxygen into the interior of the heap leach structure may be used. Air or oxygen may either be introduced by physically piping or blowing it into the ore structure
Data Source
AI summary
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.