50th Annual Canadian Mineral Processors Conference
SGS is a proud sponsor and presenter at the 50th Annual Canadian Mineral Processors Conference being held in Ottawa between January 23 and 25, 2018. This conference will feature presentations on various aspects of mineral processing including comminution, flotation, gold and iron ore processing, mineralogy, mill optimization, process control and projects relating to the theme of Past, Present, and Future.
Jan 23, 2018
Jan 25, 2018
SGS will be presenting 3 technical presentations during the 50th Annual Canadian Mineral Processors Conference. SGS is the global leader in inspection, verification, certification and testing services and has been active in Canada for over 75 years. Our flowsheet development, geometallurgy, pilot plant testing, chemical analysis and laboratory outsourcing staff have earned the respect of the global minerals industry and we are the world’s leading provider of bankable metallurgical services.
We offer an extensive range of services that covers exploration, plant design and engineering, production, industrial applications and decommissioning and closure. As your strategic partner, we provide testing, technology, trade services and consulting to help deliver more growth and lean efficiencies, improve your speed to market and reduce risk.
Our presentations will include:
1. Canada Fluorspar Inc. St. Lawrence Fluorspar Project – Flowsheet Development
Presenter: Erin Legault
Date: Tuesday January 23, 2018
Time: 2:25 pm
Fluorspar mining in the St. Lawrence area of Newfoundland began in the 1930’s and ended in the mid-1980’s. In 2013, Canada Fluorspar Inc (CFI) discovered a new ore body, the AGS vein, which proved amenable to more economic open pit mining methods and began developing this resource.
This paper discusses the flowsheet development of the AGS vein deposit. Testing at SGS began in 2009 with samples from other deposits in the area. The testwork included pilot-scale dense media separation (DMS), laboratory-scale flotation tests to develop the flowsheet and a flotation pilot plant. The more recent work that is presented here has been devoted to the AGS vein, and included a variability testing program that gave tremendous insight into the metallurgical drivers of processing the deposit.
The ore was found to be fairly variable in terms of fluorite grade, but also gangue mineralogy, which had greater implications on the DMS performance. The gangue mineralogy was also found to significantly impact the grindability characteristics of the DMS product.
This paper will detail the testing conducted and the mitigating steps which were identified for the operation.
2. Using Mineral Exposure for Rougher Recovery Prediction
Presenter: Sarah Prout
Date: Tuesday January 23, 2018
Time: 2:50 pm
There is a growing demand for ore characterization methods to support metallurgical development programs from a true geometallurgical perspective. Today, there are multiple automated mineral analysis systems on the market, many of which are based on conventional mineral liberation data. However, liberation data can be limited when assessing the floatability of a mineral to predict its recovery as it doesn’t consider the surface area available for collector absorption and bubble attachment; whereas mineral exposure measurements can. Using the First-Order Rate equation to predict the recovery versus time of variously exposed particles, a model has been developed to predict the recovery of copper sulphides at a particular grind size. This model provides the opportunity for the prediction of copper recovery and grade from multiple, small-scale samples. These predicted values can be imported into resource modeling software, and guide the domaining of geometallurgical units within the ore body. Data has been analyzed from various global copper porphyry systems and compared with actual flotation testwork.
3. Optimizing the Carbon Circuit at the Young-Davidson Mine using CIP/CIL Modelling
Presenter: Tyler Crary
Date: Wednesday January 24, 2018
Time: 11:05 am
The SGS carbon-in-pulp (CIP) / carbon-in-leach (CIL) model was used to evaluate and optimize the carbon circuit at Alamos Gold’s Young-Davidson Mine. Plants samples (pulp and carbon) were tested in a series of small scale batch experiments to determine rates of gold leaching and adsorption on carbon from a combined flotation concentrate/tailing product. The testwork data, along with existing plant data were then used to model the performance of the existing CIL plant and optimize the circuit to improve performance and overall recovery. The primary purpose of the modelling exercise was to determine the most cost-effective way of dealing with seasonal variations in the performance of the CIL plant. This resulted in a recommendation for minor changes in the CIL flowsheet, which were successfully implemented in the plant.
The approach, results and plant changes are presented.