BIOLEACH: NEW PRODUCTION PLANNING SIMULATOR · 2017-02-10 · SX/EW PLS Raffinate Aeration MINE...
Transcript of BIOLEACH: NEW PRODUCTION PLANNING SIMULATOR · 2017-02-10 · SX/EW PLS Raffinate Aeration MINE...
BIOLEACH: NEW PRODUCTION PLANNING SIMULATOR Francisco Troncoso Díaz, Víctor Cabezas, Jorge Menacho Llaña
De Re Metallica Spa
THE DRM.BIOLEACH® MODEL
As the mine exploitation gets deeper, sulfides appear as predominant species so it is a growing need to have tools for the planning and process optimization of bioleaching industrial operations.
The BioLeach® model developed since by DRM includes a detailed description of the bioleaching process at any scale, including column, box, heap or dump leaching, so it also can be used for scale up purposes.
It is based on transport phenomena principles and biochemical kinetics of bioleaching and it incorporates operational and process variables involved in the bioleaching process.
THE DRM.BIOLEACH® MODEL
QON QEV
QOFF
Air
Solution
Transport
Air
Transport
O2, CO2
Transport
Fe II
Transport
Fe III
Transport
Copper
Transport
Strain
Transport
Energy
Transport
Acid
Transport
Dump, Heap
or Column
Abiotic Leaching: DRM.ACIDLEACH
THE DRM.BIOLEACH® MODEL
Solution Transport: The Richards’ equation and the van Genuchten's permeability model are used to estimate liquid flowrate through the porous media.
Solutes Transport: Reactive advection- dispersion equations coupled with biochemical kinetics of dissolution of copper and iron species.
Energy Transport: energy exchange between gaseous and liquid phases inside the porous media, considering energy of bioleaching reactions of copper and iron species.
Air Flowrate
Liquid Flowrate
DRM.BIOLEACH®: COPPER PRODUCTION SIMULATOR
SX/EW
Raffinate PLS
Aeration
MINE PLAN STACKING PLAN
IRRIGATION PLAN
Copper Cathodes
Stacking Discharge
Drainage
Wetting Irrigation Washing
DRM.BioLeach
DRM.BIOLEACH®: MULTI-LAYER SIMULATION
Layer 1
Layer 2
Layer 3
Layer 4
Under irrigation
Under repose
Irrigation rate q1
[Composition]1
T°1
Irrigation rate q2
[Composition]2
T°2
Composition-1 Temperature-1
Composiction-2
Temperature-2
Irrigation rate q3
[Composition]3
T°3
FLOW DIAGRAM DRM.BIOLEACH®
DRM.BIOLEACH® Model
Transport Phenomena
Biochemical Kinetics
Operational Variables
Flow, concentration and
temperature solutions
+1/2”, -100#
Process Variables
Tonnage
Evaporation rate
Height
Irrigation area
Heat transfer area
Copper Grade, Mineralogy, UGM
Mineral and Solutions Properties
Bulk and solid density
Initial and final moisture
Liquid density and viscosity
Air density and viscosity
Principal Response
Irrigation Unit
OFF Flowrate
Concentration of Cu2+
, H+, Fe3+, Fe2+
Cu Extraction
Temperature OFF
StrainPopulation OFF
Global Response Integration of
Irrigation Unit PLS Flowrate to SX Concentration of
Cu2+, H+, Fe3+, Fe2+ in PLS Flowrate to SX
Cu Transferred in SX
THE DRM.BIOLEACH® SOFTWARE
The DRM.BIOLEACH software is a desktop application written in C# language. It is implemented on a .NET platform, supported by windows operating system.
Is provided with a database (SQL) that allows information management in order to have a global vision of the bioleaching process, aimed to estimate cathode production, thus making the DRM.BIOLEACH software a useful tool for Production Planning and Operational Optimization.
BIOLEACH
INDUSTRIAL SIMULATION
INDUSTRIAL SIMULATION
INDUSTRIAL SIMULATION
INDUSTRIAL SIMULATION
INDUSTRIAL SIMULATION
INDUSTRIAL SIMULATION
INDUSTRIAL SIMULATION
MINE PLAN EVALUATION Forecast
Production
Process
Optimization
Evaluation of
operational
changes in
dynamic state
MINE PLAN EVALUATION Anticipate
Negative Events
Stacking strategy
Irrigation strategy
Mineralogical
species of
copper and iron
in the Mine Plan
Operational
changes
CONCLUSIONS
Along 10 years, DRM has developed a comprehensive model for bioleach industrial operations, now packaged into a formal software.
DRM.BIOLEACH is a powerful tool for the Production Planning and Process Optimization.
The use of transport phenomena allows DRM.BIOLEACH to anticipate negative events in the process and evaluate the effect of operational changes in transient state in a dynamic system as the real industrial process.