processing Gold ore | Rodger Allen Gold Mine
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The Sylvan Ore is located within the Owl Creek/Birkenhead area and consists of a poly-metallic, high-sulfide mix of iron pyrite, pyrrhotite and altered granite diorite with massive to scattered metals throughout the bulk sample. The refractory indicators in this material are the high sulfides which require special consideration for Extraction & Recovery.
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processing Gold ore | Rodger Allen Gold Mine
- 1. Processing Gold Ores By Rodger Allen Gold Mine
- 2. Gold ore processing Ore Preparation • Gold liberation • Particle size adjustment to next processes • Physical concentration and oxidation pretreatment Gold Extraction • Extraction of gold from ore into solution and/or concentrate Gold Purification • Purification of gold bearing solution Gold Production • Recovery of gold from solution or concentrate to produce a bulliion bar
- 3. Process development for gold ores
- 5. Process design Mineralogy Geology Technological tests Process routes Primary Crushing Secondary Crushing SAG Milling Ball Milling Thickening Gravity Concentration Pre-aeration Carbon-in- leach Elution Electrowinning Smelting Feed GOLD To smelting Industrial processes ? Project context
- 6. Primary Crushing Secondary Crushing SAG Milling Rod Milling Ball Milling (or pebble mill) Thickening Gravity Concentration Agglomeration Flotation Heap Oxidation Pressure Oxidation Bio-oxidationRoasting Heap Neutralization Pre-aeration Pre-aeration Heap Cyanidation Cyanidation Cyanidation Carbon-in- leach Carbon-in- leach Carbon-in- pulp Carbon-in- pulp CCDCCD Carbon-in- column Elution ElutionElution Electrowinning Electrowinning Zinc Precipitation Zinc Precipitation Electrowinning Smelting Feed GOLD To smelting t c
- 7. Primary Crushing Secondary Crushing SAG Milling Ball Milling Pre-aeration Carbon-in- leach Elution Electrowinning Smelting Feed GOLD Primary Crushing Secondary Crushing SAG Milling Rod Milling Ball Milling (or pebble mill) Thickening Gravity Concentration Agglomeration Flotation Heap Oxidation Pressure Oxidation Bio-oxidationRoasting Heap Neutralization Pre-aeration Pre-aeration Heap Cyanidation Cyanidation Cyanidation Carbon-in- leach Carbon-in- leach Carbon-in- pulp Carbon-in- pulp CCDCCD Carbon-in- column Elution ElutionElution Electrowinning Electrowinning Zinc Precipitation Zinc Precipitation Electrowinning Smelting Feed To smelting t c GOLD
- 8. Fazenda Brasileiro ore Main ore characteristics deposit type: “greenstone belt” mineralogy: fine gold (d95=37 microns), free or in borders/fractures, associations with sulphides and quartz laboratory tests: high recoveries for both direct cyanidation and flotation, good recovery in gravity concentration
- 9. Primary Crushing Secondary Crushing SAG Milling Ball Milling Thickening Gravity Concentration Pre-aeration Carbon-in- leach Elution Electrowinning Smelting Feed GOLD To smelting Fazenda Brasileiro ore Conventional process route
- 10. Refractory sulphide ore Main ore characteristics deposit type: “greenstone belt” mineralogy: very fine gold(d95=3 microns), encapsulated and in borders/fractures, association with sulphides laboratory tests: low recoveries in direct cyanidation and gravity concentration tests, high recoveries in flotation tests, high recoveries by cyanidation after bio-oxidation or pressure oxidation
- 11. Primary Crushing Secondary Crushing SAG Milling Ball Milling Flotation Bio-oxidation Cyanidation Carbon-in- pulp Elution Electrowinning Smelting Feed GOLD Tailings Refractory sulphide ore Processing route with pretreatment
- 12. Placer ore Main ore characteristics deposit type: “placer” mineralogy: medium size gold(d95=100 microns), some physically liberated, some associated with sulphides
- 13. Placer ore Physical only processing route Primary Crushing Secondary Crushing Ball Milling Thickening Gravity Concentration Flotation Feed To smelting Smelting GOLD
- 14. Geology Mineralogy inferred measured combined W1=1 W2= f ( sampling, equipment, precision) Behavior inferred measured combined W1=1 W2= f ( sampling, preliminary testwork) Process options inferred measured combined W1=1 W2= f ( sampling, demonstration testwork) Process routes Knowledge building Contradictions management and feedback 1300 variables 600 rules
- 15. A gold mine in the Amazon Igarapé Bahia Mine Largest Brazilian gold mine 10-12 tons of gold/year Very low cash cost Located in the Carajas Reserve Forest reserve area owned by a mining company - CVRD Only 0.4% of area occupied by mine activities Preservation of area and native cultures
- 16. Aerial view of mine site Mine Mill Infrastructure facilities
- 17. Mine
- 19. Grinding mills
- 21. Waste disposal
- 22. Summary Gold is an important resource to economy Gold ores are found in different types Processing is highly dependent on mineralogical characteristics Process design is a challenging activity Intelligent systems can be used to design and operate gold plants Advanced use of information technology in mineral industry is a key issue in the 21st century
Editor's Notes
- Good Morning, ladies and gentlemen. I'm here to present the paper "Process design for gold ores: a diagnostic approach" The authors are: myself; Professor Arthur Chaves, from University of São Paulo, Brazil, and Professor John Meech, from University of British Columbia, Canada
- This slide illustrates how the system "builds knowledge", to accomplish the task intended. The system is designed like a step ladder. Its inferencing goes, step by step, verificating, in each step, the compatibility about the inferred and measured variables. Or, in other words, knowledge and data. Each combined variable is therefore the weighted combination of measured and inferred sub-variables, that, in theory, have to be compatible, or have an approximate meaning. Usually, the weight of measured attributes are higher than the inferred. The system goes therefore inferencing and combining values until the suggestion and automatic drawing of feasible process routes are possible. Sometimes, when the system finds an incompatibility, like if mineralogy suggests gold is cyanidable and testwork finds it is not. The system then feedbacks the information, asking the user to verify the data in each level. If still the contradiction persists, it goes to the lower level, in a verification of causes and consequences. Ultimately, if the ore behavior is particular, the user has the ability of changing weights, telling the system which information it has to trust more. To have one idea of the size of the step ladder, it can be said that the process design module itself has around 600 rules and manipulates among 1300 variables and sub-variables.
- After the metallurgical evaluation is finished, the next step is the economic evaluation. . it uses generated flowsheets as input . estimate costs for each unit operation, using actual costs and adjustment factors and applying inflation indexes . calculate revenues based on gold recoveries and prices, and finally, . calculates the economic parameters . of course, the system assigns a degree of certainty to the economic parameters and indicates the main risk factors