Exploration to Production: Enhancing Project Value with SGS
Join us on February 29 prior to the start of PDAC 2020 in Toronto at the Hilton Hotel as we bring together several of our technical experts from around the world to detail how through our integrated approach, we are able to add project value to any project from exploration through production across the mining life cycle.
Feb 29, 2020, 08:00
Feb 29, 2020, 13:30
By leveraging our integrated approach, our team delivers testing and expertise providing you with enhanced project value at any stage of the entire mining life cycle around the world. From early exploration to end-product certification and closure, our team of experts provide fit-for-purpose solutions and testing capabilities suited to best suite your exploration or mining project.
Our services encompass the skills of qualified geologists, geostaticians, chemists, mineralogist, metallurgists and mining engineers, brought together to provide accurate and timely mineral evaluation and consulting services.
On February 29, join us in Toronto for our technical seminar as we showcase how our integrated approach delivers enhanced project value across the mining life cycle. Morning refreshments and lunch will be provided to all attendees. Our technical seminar will highlight new initiatives and core enhancements as well as proven case studies including:
- Machine Learning through XploreIQ
- Field Analytical Services and Testing – FAST
- Automated Mineralogy
- Carbon-In-Leach/ Carbon-In-Pulp Modelling
SGS is the world’s leading inspection, verification, testing and certification company. Our unparalleled network ok on-site, commercial and trade offices and laboratories mean that we deliver a local approach to our global operations. With locations in every major mining jurisdiction, our integrated approach delivers enhanced project value no matter where your project is located.
This session will provide an understanding of the importance of being able to develop and execute rapid drill-targets, leverage analytical data to help optimize operational spending, develop robust and accurate flowsheet designs while ensuring plant operation is running at peak efficiency.
WHO SHOULD ATTEND?
This session will be aimed to professionals involved in the mining sector including:
- Process Engineers
XploreIQ: Successfully Using Machine Learning in Exploration
Presenter: Marc-Antoine Laporte
Exploration expenditure has significantly increased since 2010, shifting to deeper domains readily available discoveries are progressively exhausted. In the same period, the industry discovery rate has decreased by more than 50 percent, putting forward the question “are we using a fully optimized targeting process?” In 2016, SGS Geological Services team lead by Guy Desharnais, won the Integra Goldrush Challenge using an innovative combination of mineralized vector load in block model, filtering it through machine learning algorithms to produce the next generation of exploration targets. This approach can be applied to any project and decrease the time and expense to major discoveries.
Following that success, various types of algorithms, including decision trees and stumps boosting enhanced with domain adaptation, were adapted by SGS Geological Services and used on different global projects targeting purposes. Phylogenetic algorithms were also integrated into the toolbox to answer questions related to geological uncertainties and classification. Those innovations were possible due to the gigantic step realized in the computer, hardware and software industries, helping the rapidly evolving science of artificial intelligence and its application to the mining industry. Three case studies will be used during the presentation as successful examples of exploration targeting for Gold, PGE and in the oil and gas industry.
FAST: Re-inventing the Laboratory for the Digital Age
Presenter: Hugh de Souza
As the mining and exploration industry undergo digital transformation for improved value creation there are increasing demands for faster analytical data that underpin operational decision-making. Developments in electronics, instrumentation and data handling have led to the re-assessment of how analytical data can be delivered. The SGS FAST program based on robust field portable technologies such as pXRF and FTIR, and automated XRF core logging, generates rapid fit-for-purpose chemical or mineralogical data at site that can be uploaded within 24-48 hours to modeling software or machine learning routines for improved exploration targeting, ore characterization and mine planning activities. Case studies will be discussed that demonstrate the savings in time and money achieved through implementation of revised workflows in core logging and analysis.
Automated Mineralogy: Unlocking the Value of Process Mineralogy and Advanced Analytical Techniques for the Mining Industry
Presenter: Tomas Hrstka
Applied process mineralogy is a tool which helps the mining industry to evaluate a project from exploration to production and remediation. Collection of statistically robust mineralogy data is nowadays cost effective. Automated mineralogy provides data to characterize and understand the metal/mineral performance and behaviour during mineral processing. It can quantify attributes to characterize the inherent mineral distribution and textures of the ore, i.e., economic and gangue minerals, liberation and locking features, which can be modelled to assist the plant grinding performance, production forecasting, and physical (i.e., flotation, gravity) or chemical recovery (hydrometallurgy). Automated mineralogy provides the data density required for machine learning (ML) and Artificial Intelligence (AI) and turns the Big data into Actionable data. We present the addition of TIMA (Tescan Integrated Mineral Analyzer) in our analytical tools in automated mineralogy, its advantages specifically on complex ores, and the continuing generation and application of advanced mineralogical data.
Carbon Circuit Modelling - Theory and Application
Presenter: Tyler Crary
SGS strives for simplicity and user-friendliness, rather than precision through complexity with our CIP/CIL modelling package. This semi-empirical model combined academic perfection and pragmatic simplicity, and SGS has over 20 years of experience proving its suitability for full scale operations. This is a result both of the validity of the model‘s many assumptions under most CIP/CIL operating conditions, as well as the inherent robustness of the CIP and CIL processes. The SGS model can be used in greenfields applications to optimize engineering design to lower capital costs of new plants and used to maximize the performance of a full-scale CIP or CIL plant based on the results of small-scale experiments. The model allows for the generation of multiple operating scenarios, where the number of leach and adsorption stages can be varied, the carbon concentration per tank can be adjusted, the carbon loading and final barren solutions can be manipulated, and carbon advance and elution rates adjusted. In this presentation, the theory behind the model will be explained along with testwork descriptions and results from real case studies will be presented.
Application of Geometallurgy for the Economic Evaluation of the design of a Copper-Gold Grinding and Flotation Circuit
Presenter: David Hatton
The six step SGS approach to Geometallurgy was applied to a copper gold mine. Various flowsheet designs were evaluated from an economic perspective to select the overall circuit and preferred operating targets for grind size and concentrate grade to maximise the economic return of the mine.
Main Floor – Governor General Room
145 Richmond St. West
Please Note: Morning, afternoon refreshments and lunch will be provided to all attendees.
For more information on this technical seminar, please contact firstname.lastname@example.org.
SGS is the world’s leading inspection, verification, testing and certification company. SGS is recognized as the global benchmark for quality and integrity. With more than 97,000 employees, SGS operates a network of over 2,600 offices and laboratories around the world.