Industry: Mining
Things I’ve done with Python in Isatis.neo
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Discover what our senior geostatistician David Barry does in Isatis.neo with the power of Python scripting.
Available in Isatis.neo: an innovative way of classifying mineral resources
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With the “Sampling Density Variance” tool, Isatis.neo offers an innovative methodology allowing robust resource classification, independent from sample number, block size, and domain extension.
Isatis.neo Resources Workflow can be used for audit and desktop review of Mineral Resource Estimation projects
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Auditing and reviewing a Mineral Resource Estimate either internally or publicly is a multifaceted process for which no software can pretend it will provide all the required tools to tick all the boxes. But some solution will provide better adapted platforms than others. Isatis.neo Resource Workflow falls in that category.
What are recoverable resources? (2/2)
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David Barry, Senior Geostatistician and a Geovariances’ Perth-based consultant, has been invited by Optiro, a resource consulting group, to participate in a podcast about recoverable resource estimation. Listen to this 2nd recording and learn more about the alternatives to uniform conditioning, such as MIK and conditional simulations, and their pros and cons.
What are recoverable resources? (1/2)
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David Barry, Senior Geostatistician and a Geovariances’ Perth-based consultant, has been invited by Optiro, a resource consulting group, to participate in a podcast about recoverable resource estimation. Listen to the recording and learn what are recoverable resources, how they differ from reserves, and what are the main techniques to compute them. The focus in on Uniform Conditioning. Other possible techniques will be presented in a further podcast.
Sample clustering in Isatis.neo has proven to be efficient with big datasets
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Isatis.neo quickly groups borehole samples into homogeneous classes (e.g., facies, geological or mining domains) in an automatic way. Those who have seen the tool run qualifies it as impressive.
Can you afford to bypass geostatistics for the sake of productivity?
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Anyone involved with today’s mining industry understands that the sector is facing very tough challenges. And it is under enormous pressure from due cost control and budgetary management constraints that innovation and ingenuity must still find their way to propose new ways of tackling traditional issues. Mineral Resource Estimation (MRE) is no stranger to that conundrum and their practitioners all know the multi facets of the game: integrate more and more data, boost productivity, and come up with an answer fast and at the same time enriched with an assessment of the uncertainty that can be attached to that answer. All of that in a fraction of the time they used to have at their disposal and less resources to double check…
Boost your productivity with Isatis scripts
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Everyone who uses Isatis scripting knows how powerful the tool is. It benefits our principal environmental consultant Claire Faucheux’s work every day. Discover why…
Mining (8)
Oil & Gas (5)
Nuclear Decommissioning (3)
Hydrogeology (3)
Contaminated sites (1)
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2D erodability map (1)
3D (1)
Airborne flight line (1)
Complex geometric relationships (1)
Conditional Simulations (4)
Contamination diagnostic (1)
Conversions & Uncertainties (1)
Data analysis (1)
Domaining (1)
Facies (1)
Flight line spacing (1)
Flow path lines (1)
Flumy (1)
Genetic model (1)
Geostatistical Hierarchical Clustering (1)
Geostatistics (1)
Image Filtering (1)
Isatis (8)
Isatis.neo (9)
Kartotrak (2)
Kriging (1)
Mapping (2)
Merge data (1)
MIK (2)
Mineral resources (2)
MPS (1)
Multi-Acquisition Factorial Kriging (1)
Multivariate geostatistics (1)
Post-accidental situation (2)
Post-processing (1)
Recoverable resource estimation (3)
Reservoir modeling (1)
Resource classification (2)
Resources workflow (3)
Risk analysis (1)
Sampling optimization (2)
Scripting procedures (3)
Seismic cubes (1)
Soil contamination mapping (1)
Statistics (1)
Support Vector Machine (1)
turbiditic depositional system (1)
Uncertainty analysis (1)
Uniform Conditioning (3)
Variography (2)
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2020 (2)
2019 (7)
2018 (2)
2017 (2)
2016 (2)