Tag: Isatis.neo
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.
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.
Uncertainty in Depth Conversion: Why should I care?
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Conversions & Uncertainties Workflow, Geovariances’ new tool for depth conversion, gives the user the means to explore all credible reservoir scenarios. It helps prove or disprove the meaningfully different scenarios obtained from a set of realizations and increase the accuracy of your reservoir model.
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…
Isatis manages several million data sets
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Through the years, Geovariances has always endeavored to improve Isatis performances to answer their client constraints related to the always increasing size of their data sets. Most of the algorithms in Isatis are thus optimized and parallelized to run on multi-threaded computers and decrease computation time in a significant manner.
Mining (8)
Oil & Gas (5)
Nuclear Decommissioning (3)
Hydrogeology (3)
Contaminated sites (1)
TAGS:
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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DATES:
2020 (2)
2019 (7)
2018 (2)
2017 (2)
2016 (2)