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Synthetic geology data setFor drill hole data
MINERAL RESOURCES FLAGSHIP
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?
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”
reactive transport modelling
geostatistical simulation
Real World
How to synthesize?
geologist’s interpretation + interpolation
deformation and fluid flow modelling
How do we collaborate? A web platform?
End product: • library of synthetic data
models• simulated
drilling/sampling/measuring
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