SlideShare ist ein Scribd-Unternehmen logo
1 von 21
Downloaden Sie, um offline zu lesen
1serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
Innovative methods in geostatistics from
studies in Chilean copper deposits
CONSULTANT OFFICE UNIVERSITY
Research for money
Money for Research
Research for …
… research ?
Serge Antoine Séguret – Geostatistician - MINES ParisTech, Fontainebleau, France
serge.seguret@mines-paristech.fr
Since 2003 Serge Séguret has been heavily involved in the application of
geostatistics in the mining industry for partners including Codelco (Chile, copper),
Vale (Brazil, iron) and Ma’aden (Saudi Arabia, phosphate) and more recently on
South America lithium deposits.
Serge completed his PhD under the supervision of Georges Matheron at the
Centre for Geostatistics in Fontainebleau in 1991. For more than 30 years Serge
has contributed to the dissemination of Geostatistics through theoretical works
and applications in various domains including Marine Geophysics, Petroleum and
Environment
Application of the Truncated Gaussian Simulation Method to the MM deposit at Codelco Norte, Chile. EAGE
Madrid, Spain, 2005.
Analysis and Estimation of Multi-unit Deposits - Application to a Porphyry Copper Deposit. Mathematical
Geosciences, 2013.
Geostatistical comparison between blast and drill holes in a porphyry copper deposit. 7th world conference on
sampling and blending, Bordeaux, France, 2015.
Fracturing, Crushing and Directional Concentration. Mathematical Geosciences, 2016.
Geostatistical Evaluation of Rock-Quality Designation and its link with Linear Fracture Frequency. IAMG,
Freiberg, Germany. 2015.
Additivity, metallurgical recovery, and grade. 8th international Geostatistics Congress, Santiago, Chile,
2008
Spatial sampling effect of laboratory practices in a porphyry copper deposit. 5th World Conference on Sampling
and Blending, Santiago, Chile, 2011.
2serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
3
Mining
Drill & Blast
Recovery
Sampling
Geotechnique
Geological units
Intrusive object
Units & Grades
ProductionBefore production
1
2
3
4
5 6
7
8
5
 T G S
MM fault
Unit simulations (MM)1
3serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
7
Dyke (El Teniente)
4 500 drill holes
2
10
Block Modelling (Chuqui’, MM(H), R&T)
Current practices
Geological interpretation
Drilhole 1 Drilhole 2
Drillholes
Data
Block gradesProportions by block
3
4serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
11
Modelling the problem
n units {i}  i1 (x)
1 grade  Cu(x)
i1 (x) Cu(x) = Cu (x)i  Partial
grades
x, 1 (x) 1 x, Cu(x) Cu (x)i i
n n
     
x, Cu (x) Cu (x)COK COK
i
n
   
Simplifying ?Cu (x)COK
i
n partial grades i ( ) ( Metal)Cu x
n unit indicators i1 ( ) ( Geometry)x
ij
i
(h)
(h)


= p(x+h j | x i, x+h i)  
iiZ
i
(h)
(h)


= E[Z(x+h) | x+h i, x i] 
Probabilistic interpretation
12
5serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
iiZ
i
(h)
(h)


= E[Z(x+h) | x+h i, x i] 
Application (Chuqui, MM, R&T)
/ix, i Cu (x) m 1 (x) R (x)i i i   
Simplifying ,yes Cu (x)COK
i /iCu (x) m 1 (x) R (x)COK COK K
i i i 
 /iCu (x) m 1 (x) R (x)S COS S
i i i 
TGS
13
14
Also Chuqui (cross validation)
R&T (blast holes)
Cu Geol
Cu Geol
Cu Geol
Cu Blast
Cu Blast
Cu Blast
Cu Partial
Grades
Cu Partial
Grades
Cu Partial
Grades
0.67 
0.63  0.69 
6serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
15
Conclusions
Combining ≠ approaches:
@ Resource classification level
By geologist
By geostat.
122 000 samples 12 000 samples
16
/ix, i Cu (x) m 1 (x) R (x)i i i   
7serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
Blast holes
Drill holes • Few
• Long term planning (month, year, decade)
• Large scale strategy
• “Good” quality
• Many
• Short-term planning (day, week,)
• Small-scale selectivity
• Bad quality
Question: how to combine the two
types of measurements?
Blast & Drill Holes (R&T)
17
4
( )Drill h
int ( )Po h3 m
deconvolution
15 m
// convolution
15 m
 convolution
//
( )Blast h
( )Blast h

18
8serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
19
15( , , ) ( , , ) ( ) ( , , )blast m blastY x y z Y x y z p z R x y z  
3( , , ) ( , , ) ( ) ( , , )drill m drillY x y z Y x y z p z R x y z  
15( ) ( ) ( )blastblast m Rh h h    
3( ) ( ) ( )drilldrill m Rh h h    
Blast sampling
error
Drill sampling
error
20
9serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
21
1. Filtering the blast error
2. Blast deconvolution
3. Block modelling using blasts & drills
fract
NC
N ( )
FF( )
L ( )
x
x
x

Geotechnique, FF (Chuqui, R&T)
29
5
10serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
• Not additive
• How estimating at
block scale?
fract 1 fract 2
1 2
NC 1 NC 2
fract 1 fract 2
NC 1 NC 2
N ( ) N ( )
FF( )
L ( ) L ( )
1 N ( ) N ( )
2 L ( ) L ( )
x x
x x
x x
x x
x x



 
  
 
Measures
FF(x1) FF(x2)
FF(x5)FF(x3)
FF(x5)
FF*(V)?
FF(x1) FF(x2)
Additivity
30
Observation of a natural phenomenon
31
11serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
• Chuqui, 13,000 samples
• 1,5 m length
• Underground mine, Codelco
• 1000x2300x1000 m3
32
33
12serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
(1)
(2) (3)
34
fract
NC
*
N ( )
FF ( )
L ( )
K
x
x K
x
V
V
V

Measures
FF(x1) FF(x2)
FF(x5)FF(x3)
FF(x5)
FF*(V)?
35
13serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
36
Understanding this link
37
14serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
Directional Classes
1
( ) ( , )
n
totN x N x


 
Terzagui Correction 38
Directional Concentration
1
( ) ( , )
n
totN x N x


 
2 2
,( ) [ ( , )] [( ( , ) ( )) ]meanx Var N x E N x N x        
,
( )
( ) tot
mean
N x
N x
n



2 2
,
1
( )
1
( ( , ) ( ))
n
meanx N x N x
n

 

   
39
15serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
2
( ) 0x  full directional isotropy, all the fractures are
equally distributed over the directions
2 2
,max( )x   
2 2 2
,max ,0 ( ) ( ) ( ) ( 1)meanx x N x n        
full directional anisotropy, all the fractures lie
along one direction
2
2 2
2
1,max ,
( )
( )
1 ( , )
( 1)
( ) ( 1) ( )
n
mean
x
x
N x
R
x n n N x



   




 


40
41
16serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
Directional Concentration Classes
42
Another deposit (R&T)
43
17serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
44
Deposit 1 Deposit 2
45
18serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
Residual model
 2
, , ,( ) ( ( )) ( ) 1 ( ) ( ) ( ( ))Ntot
tot N Lc C N Lc N Lc
Lc
N x x L x x RSD x C x

     

, (x)= (x) + (x)tot corr indx N N N
46
Independent fractures - Deposit 1
47
19serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
Independent fractures - Deposit 2
48
Geotechnique, RQD (Chuqui)
49
6
20serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
*
i i
aR bS 
* * *
i i i
CuR R CuT 
Oxide Copper
66
Metallurgy, recovery (Andina, Gaby)7
71
Sampling (Andina)
CAUSES
•Spatial restriction
•Regularization
•Sampling density
•Grade selection
8
21serge.seguret@mines-paristech.fr
Innovative methods in geostatistics from studies in Chilean copper deposits
81
Serge Antoine Séguret – Geostatistician - MINES ParisTech, Fontainebleau, France

Weitere ähnliche Inhalte

Ähnlich wie Innovative methods in geostatistics from studies in Chilean copper deposits - Serge Séguret

DART: Fry progress so far 070711
DART: Fry progress so far 070711DART: Fry progress so far 070711
DART: Fry progress so far 070711DART Project
 
The Removal of Large Space Debris Using Tethered Space Tug
The Removal of Large Space Debris Using Tethered Space TugThe Removal of Large Space Debris Using Tethered Space Tug
The Removal of Large Space Debris Using Tethered Space TugTheoretical mechanics department
 
Rock Mechanics and Rock Cavern Design_ICE HKA
Rock Mechanics and Rock Cavern Design_ICE HKARock Mechanics and Rock Cavern Design_ICE HKA
Rock Mechanics and Rock Cavern Design_ICE HKAKeith Kong
 
Soil Organic Carbon Map of Mexico
Soil Organic Carbon Map of MexicoSoil Organic Carbon Map of Mexico
Soil Organic Carbon Map of MexicoExternalEvents
 
Mace2010
Mace2010Mace2010
Mace2010mnico61
 
Veiko karu green_mining
Veiko karu green_miningVeiko karu green_mining
Veiko karu green_miningVeiko Karu
 
Tachyonic and Localy Equivalent Canonical Lagrangians - The Polynomial Case -
Tachyonic and Localy Equivalent Canonical Lagrangians - The Polynomial Case -Tachyonic and Localy Equivalent Canonical Lagrangians - The Polynomial Case -
Tachyonic and Localy Equivalent Canonical Lagrangians - The Polynomial Case -Milan Milošević
 
Earth Observation and applications on environmental studies
Earth Observation and applications on environmental studiesEarth Observation and applications on environmental studies
Earth Observation and applications on environmental studiesICGCat
 
extreme times in finance heston model.ppt
extreme times in finance heston model.pptextreme times in finance heston model.ppt
extreme times in finance heston model.pptArounaGanou2
 
New Mathematical Tools for the Financial Sector
New Mathematical Tools for the Financial SectorNew Mathematical Tools for the Financial Sector
New Mathematical Tools for the Financial SectorSSA KPI
 
Stochastic methods and models for multi-objective dynamic optimisation problems
Stochastic methods and models for multi-objective dynamic optimisation problemsStochastic methods and models for multi-objective dynamic optimisation problems
Stochastic methods and models for multi-objective dynamic optimisation problemsEric Fraga
 
DSD-INT 2015 - Workshop quantitative bed dynamics from new bathymetric time s...
DSD-INT 2015 - Workshop quantitative bed dynamics from new bathymetric time s...DSD-INT 2015 - Workshop quantitative bed dynamics from new bathymetric time s...
DSD-INT 2015 - Workshop quantitative bed dynamics from new bathymetric time s...Deltares
 
Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...
Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...
Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...Alexander Litvinenko
 
El CNA como centro de ensayos de irradiación dentro de una ICTS interdiscipli...
El CNA como centro de ensayos de irradiación dentro de una ICTS interdiscipli...El CNA como centro de ensayos de irradiación dentro de una ICTS interdiscipli...
El CNA como centro de ensayos de irradiación dentro de una ICTS interdiscipli...Facultad de Informática UCM
 
An introduction of 21cm cosmology
An introduction of 21cm cosmologyAn introduction of 21cm cosmology
An introduction of 21cm cosmologyHayato Shimabukuro
 

Ähnlich wie Innovative methods in geostatistics from studies in Chilean copper deposits - Serge Séguret (20)

DART: Fry progress so far 070711
DART: Fry progress so far 070711DART: Fry progress so far 070711
DART: Fry progress so far 070711
 
The Removal of Large Space Debris Using Tethered Space Tug
The Removal of Large Space Debris Using Tethered Space TugThe Removal of Large Space Debris Using Tethered Space Tug
The Removal of Large Space Debris Using Tethered Space Tug
 
Rock Mechanics and Rock Cavern Design_ICE HKA
Rock Mechanics and Rock Cavern Design_ICE HKARock Mechanics and Rock Cavern Design_ICE HKA
Rock Mechanics and Rock Cavern Design_ICE HKA
 
Quantification of Saline Aquifers for Geological Storage of CO2 – Experiences...
Quantification of Saline Aquifers for Geological Storage of CO2 – Experiences...Quantification of Saline Aquifers for Geological Storage of CO2 – Experiences...
Quantification of Saline Aquifers for Geological Storage of CO2 – Experiences...
 
Soil Organic Carbon Map of Mexico
Soil Organic Carbon Map of MexicoSoil Organic Carbon Map of Mexico
Soil Organic Carbon Map of Mexico
 
Carlos de miguel portfolio
Carlos de miguel portfolioCarlos de miguel portfolio
Carlos de miguel portfolio
 
Mace2010
Mace2010Mace2010
Mace2010
 
Veiko karu green_mining
Veiko karu green_miningVeiko karu green_mining
Veiko karu green_mining
 
Tachyonic and Localy Equivalent Canonical Lagrangians - The Polynomial Case -
Tachyonic and Localy Equivalent Canonical Lagrangians - The Polynomial Case -Tachyonic and Localy Equivalent Canonical Lagrangians - The Polynomial Case -
Tachyonic and Localy Equivalent Canonical Lagrangians - The Polynomial Case -
 
Earth Observation and applications on environmental studies
Earth Observation and applications on environmental studiesEarth Observation and applications on environmental studies
Earth Observation and applications on environmental studies
 
extreme times in finance heston model.ppt
extreme times in finance heston model.pptextreme times in finance heston model.ppt
extreme times in finance heston model.ppt
 
New Mathematical Tools for the Financial Sector
New Mathematical Tools for the Financial SectorNew Mathematical Tools for the Financial Sector
New Mathematical Tools for the Financial Sector
 
Slides ub-2
Slides ub-2Slides ub-2
Slides ub-2
 
Stochastic methods and models for multi-objective dynamic optimisation problems
Stochastic methods and models for multi-objective dynamic optimisation problemsStochastic methods and models for multi-objective dynamic optimisation problems
Stochastic methods and models for multi-objective dynamic optimisation problems
 
DSD-INT 2015 - Workshop quantitative bed dynamics from new bathymetric time s...
DSD-INT 2015 - Workshop quantitative bed dynamics from new bathymetric time s...DSD-INT 2015 - Workshop quantitative bed dynamics from new bathymetric time s...
DSD-INT 2015 - Workshop quantitative bed dynamics from new bathymetric time s...
 
Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...
Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...
Possible applications of low-rank tensors in statistics and UQ (my talk in Bo...
 
Damiano Pasetto
Damiano PasettoDamiano Pasetto
Damiano Pasetto
 
El CNA como centro de ensayos de irradiación dentro de una ICTS interdiscipli...
El CNA como centro de ensayos de irradiación dentro de una ICTS interdiscipli...El CNA como centro de ensayos de irradiación dentro de una ICTS interdiscipli...
El CNA como centro de ensayos de irradiación dentro de una ICTS interdiscipli...
 
1stSymposiumTALK_Closed_Conduit-Paul_Ghamry
1stSymposiumTALK_Closed_Conduit-Paul_Ghamry1stSymposiumTALK_Closed_Conduit-Paul_Ghamry
1stSymposiumTALK_Closed_Conduit-Paul_Ghamry
 
An introduction of 21cm cosmology
An introduction of 21cm cosmologyAn introduction of 21cm cosmology
An introduction of 21cm cosmology
 

Mehr von The University of Western Australia

Mark Jessell - Assessing and mitigating uncertainty in 3D geological models i...
Mark Jessell - Assessing and mitigating uncertainty in 3D geological models i...Mark Jessell - Assessing and mitigating uncertainty in 3D geological models i...
Mark Jessell - Assessing and mitigating uncertainty in 3D geological models i...The University of Western Australia
 
3D model of a Ni-Cu-PGE ore body - Margaux Le Vaillant and June Hill (CSIRO)
3D model of a Ni-Cu-PGE ore body - Margaux Le Vaillant and June Hill (CSIRO)3D model of a Ni-Cu-PGE ore body - Margaux Le Vaillant and June Hill (CSIRO)
3D model of a Ni-Cu-PGE ore body - Margaux Le Vaillant and June Hill (CSIRO)The University of Western Australia
 
Integration of geological and petrophysical constraints in geophysical joint ...
Integration of geological and petrophysical constraints in geophysical joint ...Integration of geological and petrophysical constraints in geophysical joint ...
Integration of geological and petrophysical constraints in geophysical joint ...The University of Western Australia
 
Scenario Testing and Sensitivity Analysis for 3-D Kinematic Models and Geophy...
Scenario Testing and Sensitivity Analysis for 3-D Kinematic Models and Geophy...Scenario Testing and Sensitivity Analysis for 3-D Kinematic Models and Geophy...
Scenario Testing and Sensitivity Analysis for 3-D Kinematic Models and Geophy...The University of Western Australia
 
First circular - Saying goodbye to a 3D Earth - - 3-7 August 2015
First circular - Saying goodbye to a 3D Earth - -  3-7 August 2015 First circular - Saying goodbye to a 3D Earth - -  3-7 August 2015
First circular - Saying goodbye to a 3D Earth - - 3-7 August 2015 The University of Western Australia
 
20 years of 3D structural modelling - Laurent Ailleres (Monash University)
20 years of 3D structural modelling - Laurent Ailleres (Monash University)20 years of 3D structural modelling - Laurent Ailleres (Monash University)
20 years of 3D structural modelling - Laurent Ailleres (Monash University)The University of Western Australia
 
  Information Theory and the Analysis of Uncertainties in a Spatial Geologi...
  Information Theory and the Analysis of Uncertainties in a Spatial Geologi...  Information Theory and the Analysis of Uncertainties in a Spatial Geologi...
  Information Theory and the Analysis of Uncertainties in a Spatial Geologi...The University of Western Australia
 

Mehr von The University of Western Australia (20)

Mark Jessell - Assessing and mitigating uncertainty in 3D geological models i...
Mark Jessell - Assessing and mitigating uncertainty in 3D geological models i...Mark Jessell - Assessing and mitigating uncertainty in 3D geological models i...
Mark Jessell - Assessing and mitigating uncertainty in 3D geological models i...
 
3D modelling and inversion in escript
3D modelling and inversion in escript3D modelling and inversion in escript
3D modelling and inversion in escript
 
3D model of a Ni-Cu-PGE ore body - Margaux Le Vaillant and June Hill (CSIRO)
3D model of a Ni-Cu-PGE ore body - Margaux Le Vaillant and June Hill (CSIRO)3D model of a Ni-Cu-PGE ore body - Margaux Le Vaillant and June Hill (CSIRO)
3D model of a Ni-Cu-PGE ore body - Margaux Le Vaillant and June Hill (CSIRO)
 
John McGaughey - Towards integrated interpretation
John McGaughey - Towards integrated interpretationJohn McGaughey - Towards integrated interpretation
John McGaughey - Towards integrated interpretation
 
Mark Jessell - The topology of geology
Mark Jessell - The topology of geologyMark Jessell - The topology of geology
Mark Jessell - The topology of geology
 
Integration of geological and petrophysical constraints in geophysical joint ...
Integration of geological and petrophysical constraints in geophysical joint ...Integration of geological and petrophysical constraints in geophysical joint ...
Integration of geological and petrophysical constraints in geophysical joint ...
 
David Lumley - 4D uncertainty - Nov 11, 2015
David Lumley - 4D uncertainty - Nov 11, 2015David Lumley - 4D uncertainty - Nov 11, 2015
David Lumley - 4D uncertainty - Nov 11, 2015
 
Francky Fouedjio - Synthetic data analytics
Francky Fouedjio - Synthetic data analyticsFrancky Fouedjio - Synthetic data analytics
Francky Fouedjio - Synthetic data analytics
 
Peter Schaubs - GeoLena November 11, 2015
Peter Schaubs - GeoLena November 11, 2015Peter Schaubs - GeoLena November 11, 2015
Peter Schaubs - GeoLena November 11, 2015
 
Synthetic geology dataset - June Hill CSIRO
Synthetic geology dataset - June Hill CSIROSynthetic geology dataset - June Hill CSIRO
Synthetic geology dataset - June Hill CSIRO
 
Scenario Testing and Sensitivity Analysis for 3-D Kinematic Models and Geophy...
Scenario Testing and Sensitivity Analysis for 3-D Kinematic Models and Geophy...Scenario Testing and Sensitivity Analysis for 3-D Kinematic Models and Geophy...
Scenario Testing and Sensitivity Analysis for 3-D Kinematic Models and Geophy...
 
First circular - Saying goodbye to a 3D Earth - - 3-7 August 2015
First circular - Saying goodbye to a 3D Earth - -  3-7 August 2015 First circular - Saying goodbye to a 3D Earth - -  3-7 August 2015
First circular - Saying goodbye to a 3D Earth - - 3-7 August 2015
 
Cell Based Associations - Evren Pakyuz-Charrier (CET/UWA)
Cell Based Associations - Evren Pakyuz-Charrier (CET/UWA)Cell Based Associations - Evren Pakyuz-Charrier (CET/UWA)
Cell Based Associations - Evren Pakyuz-Charrier (CET/UWA)
 
3D Geoscience at GSWA - Klaus Gessner (GSWA)
3D Geoscience at GSWA - Klaus Gessner (GSWA)3D Geoscience at GSWA - Klaus Gessner (GSWA)
3D Geoscience at GSWA - Klaus Gessner (GSWA)
 
Uncertainty in Geological Mapping - Lachlan Grose (Monash Uni.)
Uncertainty in Geological Mapping - Lachlan Grose (Monash Uni.)Uncertainty in Geological Mapping - Lachlan Grose (Monash Uni.)
Uncertainty in Geological Mapping - Lachlan Grose (Monash Uni.)
 
Gautier Laurent - Implicit Modelling and volume deformation
Gautier Laurent - Implicit Modelling and volume deformationGautier Laurent - Implicit Modelling and volume deformation
Gautier Laurent - Implicit Modelling and volume deformation
 
20 years of 3D structural modelling - Laurent Ailleres (Monash University)
20 years of 3D structural modelling - Laurent Ailleres (Monash University)20 years of 3D structural modelling - Laurent Ailleres (Monash University)
20 years of 3D structural modelling - Laurent Ailleres (Monash University)
 
  Information Theory and the Analysis of Uncertainties in a Spatial Geologi...
  Information Theory and the Analysis of Uncertainties in a Spatial Geologi...  Information Theory and the Analysis of Uncertainties in a Spatial Geologi...
  Information Theory and the Analysis of Uncertainties in a Spatial Geologi...
 
Mark Jessell - Next Generation 3D Modelling
Mark Jessell - Next Generation 3D ModellingMark Jessell - Next Generation 3D Modelling
Mark Jessell - Next Generation 3D Modelling
 
Florian Wellmann: Uncertainties in 3D Models
Florian Wellmann: Uncertainties in 3D ModelsFlorian Wellmann: Uncertainties in 3D Models
Florian Wellmann: Uncertainties in 3D Models
 

Kürzlich hochgeladen

All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...Sérgio Sacani
 
G9 Science Q4- Week 1-2 Projectile Motion.ppt
G9 Science Q4- Week 1-2 Projectile Motion.pptG9 Science Q4- Week 1-2 Projectile Motion.ppt
G9 Science Q4- Week 1-2 Projectile Motion.pptMAESTRELLAMesa2
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhousejana861314
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Sérgio Sacani
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )aarthirajkumar25
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Patrick Diehl
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bSérgio Sacani
 
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxPhysiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxAArockiyaNisha
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxAleenaTreesaSaji
 
Presentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxPresentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxgindu3009
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxSwapnil Therkar
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoSérgio Sacani
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |aasikanpl
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfSwapnil Therkar
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real timeSatoshi NAKAHIRA
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsSérgio Sacani
 
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...anilsa9823
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...Sérgio Sacani
 
Boyles law module in the grade 10 science
Boyles law module in the grade 10 scienceBoyles law module in the grade 10 science
Boyles law module in the grade 10 sciencefloriejanemacaya1
 

Kürzlich hochgeladen (20)

All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
 
The Philosophy of Science
The Philosophy of ScienceThe Philosophy of Science
The Philosophy of Science
 
G9 Science Q4- Week 1-2 Projectile Motion.ppt
G9 Science Q4- Week 1-2 Projectile Motion.pptG9 Science Q4- Week 1-2 Projectile Motion.ppt
G9 Science Q4- Week 1-2 Projectile Motion.ppt
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhouse
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
 
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxPhysiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptx
 
Presentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptxPresentation Vikram Lander by Vedansh Gupta.pptx
Presentation Vikram Lander by Vedansh Gupta.pptx
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on Io
 
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Mukherjee Nagar(Delhi) |
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real time
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
 
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
Lucknow 💋 Russian Call Girls Lucknow Finest Escorts Service 8923113531 Availa...
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 
Boyles law module in the grade 10 science
Boyles law module in the grade 10 scienceBoyles law module in the grade 10 science
Boyles law module in the grade 10 science
 

Innovative methods in geostatistics from studies in Chilean copper deposits - Serge Séguret

  • 1. 1serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits Innovative methods in geostatistics from studies in Chilean copper deposits CONSULTANT OFFICE UNIVERSITY Research for money Money for Research Research for … … research ? Serge Antoine Séguret – Geostatistician - MINES ParisTech, Fontainebleau, France serge.seguret@mines-paristech.fr Since 2003 Serge Séguret has been heavily involved in the application of geostatistics in the mining industry for partners including Codelco (Chile, copper), Vale (Brazil, iron) and Ma’aden (Saudi Arabia, phosphate) and more recently on South America lithium deposits. Serge completed his PhD under the supervision of Georges Matheron at the Centre for Geostatistics in Fontainebleau in 1991. For more than 30 years Serge has contributed to the dissemination of Geostatistics through theoretical works and applications in various domains including Marine Geophysics, Petroleum and Environment Application of the Truncated Gaussian Simulation Method to the MM deposit at Codelco Norte, Chile. EAGE Madrid, Spain, 2005. Analysis and Estimation of Multi-unit Deposits - Application to a Porphyry Copper Deposit. Mathematical Geosciences, 2013. Geostatistical comparison between blast and drill holes in a porphyry copper deposit. 7th world conference on sampling and blending, Bordeaux, France, 2015. Fracturing, Crushing and Directional Concentration. Mathematical Geosciences, 2016. Geostatistical Evaluation of Rock-Quality Designation and its link with Linear Fracture Frequency. IAMG, Freiberg, Germany. 2015. Additivity, metallurgical recovery, and grade. 8th international Geostatistics Congress, Santiago, Chile, 2008 Spatial sampling effect of laboratory practices in a porphyry copper deposit. 5th World Conference on Sampling and Blending, Santiago, Chile, 2011.
  • 2. 2serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 3 Mining Drill & Blast Recovery Sampling Geotechnique Geological units Intrusive object Units & Grades ProductionBefore production 1 2 3 4 5 6 7 8 5  T G S MM fault Unit simulations (MM)1
  • 3. 3serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 7 Dyke (El Teniente) 4 500 drill holes 2 10 Block Modelling (Chuqui’, MM(H), R&T) Current practices Geological interpretation Drilhole 1 Drilhole 2 Drillholes Data Block gradesProportions by block 3
  • 4. 4serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 11 Modelling the problem n units {i}  i1 (x) 1 grade  Cu(x) i1 (x) Cu(x) = Cu (x)i  Partial grades x, 1 (x) 1 x, Cu(x) Cu (x)i i n n       x, Cu (x) Cu (x)COK COK i n     Simplifying ?Cu (x)COK i n partial grades i ( ) ( Metal)Cu x n unit indicators i1 ( ) ( Geometry)x ij i (h) (h)   = p(x+h j | x i, x+h i)   iiZ i (h) (h)   = E[Z(x+h) | x+h i, x i]  Probabilistic interpretation 12
  • 5. 5serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits iiZ i (h) (h)   = E[Z(x+h) | x+h i, x i]  Application (Chuqui, MM, R&T) /ix, i Cu (x) m 1 (x) R (x)i i i    Simplifying ,yes Cu (x)COK i /iCu (x) m 1 (x) R (x)COK COK K i i i   /iCu (x) m 1 (x) R (x)S COS S i i i  TGS 13 14 Also Chuqui (cross validation) R&T (blast holes) Cu Geol Cu Geol Cu Geol Cu Blast Cu Blast Cu Blast Cu Partial Grades Cu Partial Grades Cu Partial Grades 0.67  0.63  0.69 
  • 6. 6serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 15 Conclusions Combining ≠ approaches: @ Resource classification level By geologist By geostat. 122 000 samples 12 000 samples 16 /ix, i Cu (x) m 1 (x) R (x)i i i   
  • 7. 7serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits Blast holes Drill holes • Few • Long term planning (month, year, decade) • Large scale strategy • “Good” quality • Many • Short-term planning (day, week,) • Small-scale selectivity • Bad quality Question: how to combine the two types of measurements? Blast & Drill Holes (R&T) 17 4 ( )Drill h int ( )Po h3 m deconvolution 15 m // convolution 15 m  convolution // ( )Blast h ( )Blast h  18
  • 8. 8serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 19 15( , , ) ( , , ) ( ) ( , , )blast m blastY x y z Y x y z p z R x y z   3( , , ) ( , , ) ( ) ( , , )drill m drillY x y z Y x y z p z R x y z   15( ) ( ) ( )blastblast m Rh h h     3( ) ( ) ( )drilldrill m Rh h h     Blast sampling error Drill sampling error 20
  • 9. 9serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 21 1. Filtering the blast error 2. Blast deconvolution 3. Block modelling using blasts & drills fract NC N ( ) FF( ) L ( ) x x x  Geotechnique, FF (Chuqui, R&T) 29 5
  • 10. 10serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits • Not additive • How estimating at block scale? fract 1 fract 2 1 2 NC 1 NC 2 fract 1 fract 2 NC 1 NC 2 N ( ) N ( ) FF( ) L ( ) L ( ) 1 N ( ) N ( ) 2 L ( ) L ( ) x x x x x x x x x x           Measures FF(x1) FF(x2) FF(x5)FF(x3) FF(x5) FF*(V)? FF(x1) FF(x2) Additivity 30 Observation of a natural phenomenon 31
  • 11. 11serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits • Chuqui, 13,000 samples • 1,5 m length • Underground mine, Codelco • 1000x2300x1000 m3 32 33
  • 12. 12serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits (1) (2) (3) 34 fract NC * N ( ) FF ( ) L ( ) K x x K x V V V  Measures FF(x1) FF(x2) FF(x5)FF(x3) FF(x5) FF*(V)? 35
  • 13. 13serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 36 Understanding this link 37
  • 14. 14serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits Directional Classes 1 ( ) ( , ) n totN x N x     Terzagui Correction 38 Directional Concentration 1 ( ) ( , ) n totN x N x     2 2 ,( ) [ ( , )] [( ( , ) ( )) ]meanx Var N x E N x N x         , ( ) ( ) tot mean N x N x n    2 2 , 1 ( ) 1 ( ( , ) ( )) n meanx N x N x n         39
  • 15. 15serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 2 ( ) 0x  full directional isotropy, all the fractures are equally distributed over the directions 2 2 ,max( )x    2 2 2 ,max ,0 ( ) ( ) ( ) ( 1)meanx x N x n         full directional anisotropy, all the fractures lie along one direction 2 2 2 2 1,max , ( ) ( ) 1 ( , ) ( 1) ( ) ( 1) ( ) n mean x x N x R x n n N x                40 41
  • 16. 16serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits Directional Concentration Classes 42 Another deposit (R&T) 43
  • 17. 17serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 44 Deposit 1 Deposit 2 45
  • 18. 18serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits Residual model  2 , , ,( ) ( ( )) ( ) 1 ( ) ( ) ( ( ))Ntot tot N Lc C N Lc N Lc Lc N x x L x x RSD x C x         , (x)= (x) + (x)tot corr indx N N N 46 Independent fractures - Deposit 1 47
  • 19. 19serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits Independent fractures - Deposit 2 48 Geotechnique, RQD (Chuqui) 49 6
  • 20. 20serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits * i i aR bS  * * * i i i CuR R CuT  Oxide Copper 66 Metallurgy, recovery (Andina, Gaby)7 71 Sampling (Andina) CAUSES •Spatial restriction •Regularization •Sampling density •Grade selection 8
  • 21. 21serge.seguret@mines-paristech.fr Innovative methods in geostatistics from studies in Chilean copper deposits 81 Serge Antoine Séguret – Geostatistician - MINES ParisTech, Fontainebleau, France