This project has received funding from the

European Union’s Horizon 2020 research and

innovation programme under grant agreement

No 641999.

ProSUM Consortium

Information Network meeting

18 October 2016

Information Network meeting, Brusselles

Anders Hallberg

2

Mining Waste

DANGER!THE GROUND HERE IS

CONTAMINATED BY METALS,

THEREFORE AVOID TO STAY AT

THIS AREA

SMEDJEBACKEN MUNICIPALITY

ENVIRONMENTAL AND CONSTRUCTION

OFFICE

3

Agenda

1 Mining waste flow scheme

2 ProSUM data model for Mining Waste

3 ProSUM code lists for Mining Waste

4 “Sampling stations” for Mining Waste”

5 Questions - discussion

6 Case studies and data sources

4

Min

4E

U

Mining, Mining Waste and Metal production

5

ProSUM data model for Mining Waste

6

ProSUM code lists for Mining Waste1 Finishing

2.2 crushing

3.1 magnetic sorting

3.2 gravimetricSorting

3.3 manuel sorting (handpicking)

3.4 automaticSorting

4 Washing

5 Abrasion

4 ParticleSizing

4.1 Wet sieving

4.2 Dry sieving

5.1 grinding

6.1 floatation

6.2 gravimetric methods

6.3 magnetic methods

6.4 electromagnetic methods

7.3.1 thickening

7.3.2 desliming

7.4 roasting

8 Pre-leaching treatment

9.2 heap leaching

9.2.1 sulfuric acid heap leaching

9.2.2 bio-heap leaching

9.2.3 cyanide heap leaching

9.3 tank leaching

9.3.1 sulfuric acid tank leaching

9.3.2 cyanide tank leaching

9.3.3 acid tank leach

9.3.4 NaOH-leaching-Bayer process

9.4 autoclave leaching

9.4.1 HPAL

10.2 precipitation

11.1 pelletization

12.1.1 blast furnace

12.1.2 direct reduction

12.1.3 smelting

12.2.1 solvent extraction

12.2.2 electrowinning

12.2.3 electrolysis

14.1 steel works

14.2 base metal refining

14.3 precious metal refining

99 unknown process

M4EU codelists MWamountEstimationMethodType

Code

highDensityDrillingOrTrenching

lowDensityDrillingOrTrenching

productionStatistics

oreProductionStatistics

fieldMeasurement

geophysics

remoteSensing

literatureData

locationOfMine

M4EU codelists MWcompositionEstimationMethodType

CodedetailedSamplingAndAnalysis

sampling

randomSampling

productionStatistics

oreProductionStatistics

M4EU codelists

wasteType

Code

stoneCuttingAndSawing

physicalChemicalProcessingNonMetalliferousMineralsDustyAndPowderyWaste

cobbing

mineralDressingMetalliferousWashTailings

washingAndCleaningOfMinerals

physicalChemicalProcessMetalliferousMineralsDustyAndPowderyWaste

mineralDressingMetalliferousFlotationTailings

mineralDressing

magneticSeparationTailings

otherSludgeMudsChemicalLiquidProducts

leachResidues

redMudAluminaProduction

physicalChemicalProcessMetalliferousMineralsTailings

Waste from Mining - relevant to MiningActivity

mineralExcavation

mineralMetalliferousExcavation

mineralNonMetalliferousExcavation

7

”Sampling stations”

Previous databases(Min4EU, ProMine, Mining waste

directive etc.)

Mining statistics

Environmental reports

Research reports

Company reports

Remote sensing

Field work and sampling

8

Questions and Discussion !

• ProSUM: to be useful, of benefit, do good ?

• Will the database answer your questions?

• How can the database/data gathering be

improved?

• Anything important to add ?

9

Grängesberg Ore District

10

Grängesberg Ore District

Risberg

lump ore

waste rock

dressing ore

concentrate

tailings

Grängesberg

lump ore

waste rock

dressing ore

concentrate

tailings

11

Grängesberg Ore District1 Finishing

2.2 crushing

3.1 magnetic sorting

3.2 gravimetricSorting

3.3 manuel sorting (handpicking)

3.4 automaticSorting

4 Washing

5 Abrasion

4 ParticleSizing

4.1 Wet sieving

4.2 Dry sieving

5.1 grinding

6.1 floatation

6.2 gravimetric methods

6.3 magnetic methods

6.4 electromagnetic methods

7.3.1 thickening

7.3.2 desliming

7.4 roasting

8 Pre-leaching treatment

9.2 heap leaching

9.2.1 sulfuric acid heap leaching

9.2.2 bio-heap leaching

9.2.3 cyanide heap leaching

9.3 tank leaching

9.3.1 sulfuric acid tank leaching

9.3.2 cyanide tank leaching

9.3.3 acid tank leach

9.3.4 NaOH-leaching-Bayer process

9.4 autoclave leaching

9.4.1 HPAL

10.2 precipitation

11.1 pelletization

12.1.1 blast furnace

12.1.2 direct reduction

12.1.3 smelting

12.2.1 solvent extraction

12.2.2 electrowinning

12.2.3 electrolysis

14.1 steel works

14.2 base metal refining

14.3 precious metal refining

99 unknown process

M4EU codelists MWamountEstimationMethodType

Code

highDensityDrillingOrTrenching

lowDensityDrillingOrTrenching

productionStatistics

oreProductionStatistics

fieldMeasurement

geophysics

remoteSensing

literatureData

locationOfMine

M4EU codelists MWcompositionEstimationMethodType

CodedetailedSamplingAndAnalysis

sampling

randomSampling

productionStatistics

oreProductionStatistics

y = 1041.1x + 65.072

R² = 0.8647

0

2000

4000

6000

8000

0.00 2.00 4.00 6.00

TREE (ppm)

TREE

Linear (TREE)

y = 6.73x + 2.9414

R² = 0.8282

0

10

20

30

40

0.00 2.00 4.00 6.00

As (ppm)

<,5

Linear (<,5)

P (%)

12

Mining waste directive: Hungary

13

ProMine

Mines in operation (2012)

Closed mines

This project has received funding from the

European Union’s Horizon 2020 research and

innovation programme under grant agreement

No 641999.

Thank youAnders.hallberg@sgu.se

18 October 2016

Information Network meeting, Brusselles

Anders Hallberg