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Synthetic geology data set For drill hole data MINERAL RESOURCES FLAGSHIP

Synthetic geology dataset - June Hill CSIRO

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Page 1: Synthetic geology dataset - June Hill CSIRO

Synthetic geology data setFor drill hole data

MINERAL RESOURCES FLAGSHIP

Page 2: Synthetic geology dataset - June Hill CSIRO

Presentation title | Presenter name2 |2 |

UNKNOWN

real geology

Rocks are made up of collections of minerals (with specific composition and texture). Rocks are affected by structures.

SAMPLE & MEASUREchemical and physical properties

Measurement values depend on geology, measurement type, errors, and sampling strategy. e.g. XRF, XRD, hyperspectral, images

MODEL

geology model

Algorithms performed on the data provide higher level geological information from which we can create the geological model. e.g. primary rock type, alteration, structures

PREDICTnew information for decision making

Algorithms predict useful information for minerals exploration and mining. e.g. predict mineralisation and rock properties

Real World Scenario

WO

RKFL

OW

How good are our intepretations, models

and predictions?

Page 3: Synthetic geology dataset - June Hill CSIRO

Presentation title | Presenter name3 |Presentation title | Presenter name

3 |

UNKNOWN

real geology

Rocks are made up of collections of minerals (with specific composition and texture). Rocks are affected by structures.

SAMPLE & MEASURE

chemical and physical properties

Measurement values depend on geology, measurement type, errors, and sampling strategy. e.g. XRF, XRD, hyperspectral, images

MODEL

geology model

Algorithms performed on the data provide higher level geological information from which we can create the geological model. e.g. primary rock type, alteration, structures

PREDICTnew information for decision making

Algorithms predict useful information for minerals exploration and mining. e.g. predict mineralisation and rock properties

KNOWN

synthetic geology

SAMPLE & MEASURE

INTEPRET and

MODEL

PREDICT

simulated

Real World SyntheticW

ORK

FLO

WTEST M

ODELS &

PREDICTION

S

How good are our models and

predictions?

“GeoLena”

Page 4: Synthetic geology dataset - June Hill CSIRO

reactive transport modelling

geostatistical simulation

Real World

How to synthesize?

geologist’s interpretation + interpolation

deformation and fluid flow modelling

Page 5: Synthetic geology dataset - June Hill CSIRO

How do we collaborate? A web platform?

End product: • library of synthetic data

models• simulated

drilling/sampling/measuring

Page 6: Synthetic geology dataset - June Hill CSIRO

coarse scale (mesh?)

fine scale(continuum?)

3D geologic

al domains

process modellin

g

geostatistical parameters

3D static model

conditioning data

mineralogychemical &

physical properties

more parameters

synthetic drill hole

measurements

sensor parameters

+ noise

3D geology,geological process

simulation

geochemistry,rock physics

sensor physicsand analytics

mineralogy,geochemistry,geostatistics

Expertise

Consistency: • across scales• across measurement methods