Annual Meeting Preliminary Program - Full Brochure (PDF) - SME
Annual Meeting Preliminary Program - Full Brochure (PDF) - SME
Annual Meeting Preliminary Program - Full Brochure (PDF) - SME
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TECHNICAL PROGRAM<br />
research: advances in Geometallurgy<br />
2:00 PM • Monday, February 25<br />
chairs: A. Samal, Rio Tinto, Riverton, UT<br />
M. Singh, Singh Associates, LLC, Scottsdale, AZ<br />
2:00 PM<br />
Introductions<br />
2:05 PM<br />
Geomet: The Platform for Life-of-Project Evaluation<br />
K. Olson Hoal 1 and J. Jackson 2 ; 1 JKTech Pty Ltd, Denver, CO and<br />
2<br />
JKTech Pty Ltd, Indooroopilly, QLD, Australia<br />
Geomet provides the overarching platform for Life-of-Project evaluations, which<br />
involve the analysis of key components of an operation where value can be improved<br />
via audit or review. Mine-to-Mill and Mine-to-Plant implementations, for<br />
example, are effective in integrating the mine and plant from blasting to flotation<br />
for enhancing the key elements of throughput and recovery. Similarly, the Triad<br />
approach to waste management integrates site characterization, remediation, and<br />
closure through planning strategies. Both of these approaches integrate parts of<br />
the value chain for more effective management of internal costs, schedules and<br />
product. Geomet, on the other hand, provides the orebody knowledge for the entire<br />
life-of-project process, for which understanding the impacts of variability is<br />
critical for prediction and forecasting. As the platform integrator, geomet bolts together<br />
other unit approaches and allows us to identify and manage the drivers for<br />
extraction and remediation, enabling a level of risk reduction across operations.<br />
The key component of geomet is effective orebody characterisation, and is<br />
demonstrated for copper and gold projects in the Americas.<br />
2:25 PM<br />
Geometallurgy for a Two Recovery Process Operation Cripple<br />
Creek and Victor Gold Mine, Colorado<br />
S. Leichliter and D. Larson; AngloGold Ashanti, Victor, CO<br />
Cripple Creek and Victor Gold Mine is an epithermal gold deposit located in the<br />
Rocky Mountains in Colorado. Surface operations are continuing along with an<br />
expansion for an onsite mill to take place in the next couple of years. The surface<br />
pit is currently progressing downward from an oxidized zone into a transitional,<br />
more sulfide zone. Gold mineralization includes native gold, electrum, and tellurides.<br />
Cyanide heap leaching is the recovery process for the oxidized ore with<br />
the sulfide ore processed at the new onsite mill. Ore characterization prior to<br />
mining is vital when there are two possible recovery processes. This characterization<br />
is dependent on geometallurgy. To identify the causes of the variability, multiple<br />
parameters are analyzed and assayed. These parameters are measured by a<br />
variety of analytical testwork. The analytical testwork provides measurements for<br />
the desired parameters. Geometallurgical models are developed for the parameters<br />
per recovery process, so estimations can be inserted into the resource model<br />
to optimize operations and recoveries.<br />
2:45 PM<br />
Using Geometallurgical Models to Aid in Variability and Recovery<br />
Testwork for Pre-feasibility Projects, La Colosa, Colombia<br />
S. Leichliter 1 and R. Jahoda 2 ; 1 AngloGold Ashanti, Victor, CO and<br />
2<br />
AngloGold Ashanti Colombia, Bogota, Colombia<br />
The La Colosa, Colombia porphyry gold deposit is currently in the pre-feasibility<br />
stage. This large deposit has many types of gold mineralization, native gold, electrum,<br />
and tellurides. These variations in the gold mineralization lead to variability<br />
in the gold recovery. The final process flowsheet may include gravity concentration<br />
with cyanide leaching. Metallurgical testwork is utilized to identify the<br />
zones of ore that may be problematic to recover. To help select the samples that<br />
represent the fluctuating variability zones, geometallurgical models are constructed<br />
using mineralogy and geology data. These zones are then wireframed<br />
and compared to the geological and structural models for spatial correlation.<br />
Samples for the variability testwork will be selected from these different zones to<br />
identify and analyse the effect the different gold mineralization types have on the<br />
recovery. By using geometallurgy to aid in the sample selection for metallurgical<br />
testwork, the variability in the ore body can be understood and constrained to aid<br />
in process optimization.<br />
3:05 PM<br />
Evaluation and Isolation of Trace Mineral Particles by Dual Energy<br />
Rapid Scan Radiography<br />
T. Tserendagva, C. Hsieh, C. Lin and J. Miller; Metallurgical<br />
Engineering, University of Utah, Salt Lake City, UT<br />
Theory and procedures are described for the evaluation and isolation of trace<br />
mineral particles from sample populations by dual energy (DE) rapid scan radiography.<br />
Particulate samples are split into narrow size fractions, each size fraction<br />
distributed/assembled on projection plates, and then the radiography projection<br />
of the plates collected at two energy levels (DE analysis). In this way, for<br />
example, more than 200,000 particles (250x150 micron in size) can be interrogated<br />
in less than one hour, particles containing high density mineral phases<br />
identified, and composition estimated. In addition, rapid scan radiography can<br />
be used for the examination of drill core samples, tailings samples, or any other<br />
particulate sample containing trace mineral particles.<br />
chair:<br />
2:00 PM<br />
Introductions<br />
Sustainability<br />
2:00 PM • Monday, February 25<br />
M. Singh, Singh Assoc LLC, Scottsdale, AZ<br />
2:05 PM<br />
Development of the Greenness Index: A Holistic Evaluation of<br />
Mining Reagents<br />
C. Lo 1 , P. Somasundaran 1 , R. Farinato 2 and D. Nagaraj 2 ; 1 Earth and<br />
Environmental Engineering, Columbia University, New York, NY<br />
and 2 Mining, Cytec Industries, Stamford, CT<br />
Many chemical companies have adopted the Twelve Principles of Green<br />
Chemistry and have developed rankings tools to assess sustainability of their products<br />
and operations. Mining companies have adopted ICMMs 10 Principles as a<br />
means for evaluating their sustainable development efforts; however, there are no<br />
specific means of by which the impact of chemicals in their processes can be<br />
quantified. There has yet to be an established and effective Greenness Index for<br />
mineral processing operations. Our approach is to develop a Greenness Index to<br />
quantify the impact of chemicals in a more comprehensive way. Additionally our<br />
objective is to integrate the Twelve Principles of Green Chemistry and ICMMs 10<br />
principles for Sustainable Mining Development into this Greenness Index. We intend<br />
to take a systems approach to establish a metric for sustainability based on<br />
constructing and combining Greenness Metrics for each unit process in the plant<br />
operation, thereby holistically evaluating the overall mineral operation process.<br />
2:25 PM<br />
iSustain: A Data Warehouse for Sustainable Resource<br />
Development Analyses<br />
M. Poulton and P. Mather; Lowell Institute for Mineral Resources,<br />
University of Arizona, Tucson, AZ<br />
We have built a dynamic data warehouse, iSustain, which aids in understanding<br />
the complexities of sustainable materials production, from social license to operate<br />
to community well-being, to supply risk. The iSustain data warehouse and related<br />
tools and analytical framework is a significant aid in analyzing the global<br />
impacts and tradeoffs in providing critical and important minerals. iSustain data<br />
warehouse supports a diverse group of researchers and policy analysts with the<br />
strategic goal of making more data available to more people. The warehouse contains<br />
data on resources and reserves for all commodities tracked by the USGS,<br />
along with worldwide financial, socioeconomic, cultural, ecological, climatic<br />
data, and more. Analyses can be statistical or map based. The data warehouse<br />
can support a wide range of queries from an analysis of supply risk for a suite of<br />
minerals used in a new cell phone to identifying predictive factors for social license<br />
to operate, or detailed studies of economic impact of resource development<br />
at a county level.<br />
2:45 PM<br />
Predictors of a Social License to Operate<br />
C. John; College of Public Health, University of Arizona, Tucson, AZ<br />
This project identifies key determinants of a social license to operate (SOL), and<br />
attempts to quantitatively predict a communitys acceptance of a company and its<br />
This is the Technical <strong>Program</strong> as of September 1, 2012. IT IS SUBJECT TO CHANGE.<br />
57<br />
Please see the Onsite <strong>Program</strong> for final details.
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