Carbon management and optimisation systems for gold CIL operations, M.K. Kostiainen, J.R. Peltola, M.J. Latva-Kokko, and C.A. Snyders

- Organization:
- The Southern African Institute of Mining and Metallurgy
- Pages:
- 12
- File Size:
- 324 KB
- Publication Date:
- Jan 1, 2020
Abstract
It is well known that carbon management is essential for minimising soluble gold losses in carbonin-
leach (CIL) and carbon-in-pulp (CIP) circuits. Even so, carbon measurements remain predominantly
a manual operation with a low amount of control and automation around CIL and CIP reactors. Carbon
inventory, i.e. knowing the carbon concentration in each reactor, is crucial for good carbon management.
CarbonSense, a novel in-situ measurement system, was therefore developed for continuous monitoring
of the carbon concentration in each reactor and paves the way for more advanced control in gold
operations.
The carbon management and optimisation system is based on Outotec® HSC Sim dynamic
process simulations where each process component is modelled in detail. Generated models are
validated with real data from a particular operation. The simulator will allow for the carbon control
sequence to be realistically tested and the efficiency optimised by controlling the feed and discharge
pumps in a hazard- and risk-free process environment.
Furthermore, by combining CarbonSense and Outotec® gold courier (online soluble gold
measurements) continuous feed-forward and feedback information can be obtained. The optimiser will
then define the best running parameters based on the cost function of gold production versus intrinsic
factors such as utility costs and adsorption time. Eventually, the application can be installed parallel
with a real process island and it can be continuously calibrated with real-time process data. The dynamic
model will then create future predictions for the entire process island.
The example case presents a CIL circuit, which is simulated using Outotec® HSC Chemistry Sim
and operated through Outotec® ACT (Advanced Control Tool) application.
Keywords: Carbon-in-leach, CIL, CarbonSense, carbon management, automated control, simulation
Citation
APA:
(2020) Carbon management and optimisation systems for gold CIL operations, M.K. Kostiainen, J.R. Peltola, M.J. Latva-Kokko, and C.A. SnydersMLA: Carbon management and optimisation systems for gold CIL operations, M.K. Kostiainen, J.R. Peltola, M.J. Latva-Kokko, and C.A. Snyders. The Southern African Institute of Mining and Metallurgy, 2020.