We’ve got one goal in mind when developing Isatis.neo, that our new software solution rapidly combines all your favorite Isatis tools. Isatis.neo v2020.02 progresses quickly towards this objective by providing new functionalities for data management, analysis, estimation, and validation.
New features and improvements common to all editions
Load raster geospatial data from GDAL-supportedfiles (including Z-Map, Arcview, GeoTiff, netCDF formats). Save gridded data as GDAL-supported files.
Import CAD mesh file with elevation variable. Export 2D Mesh files to CAD files.
Save 2D or 3D scenes as PNG images. 2D scenes can also be saved as SVG images.
Cap the higher or lower values in heavy-tailed distributions to ignore outliers and make the estimation more robust. Isatis.neo lets you test a range of bottom or top-cut values to help you identify the most appropriate one for your deposit or dataset. Statistics before and after capping are computed for each test value to support your decision making.
Make use of Macro Variables in the following tools: Morphological Operations, Connected Component Numbering, Copy Using ID, Copy Grid to Grid, Petrel link, and the following quantities: quantiles, confidence intervals, mean, probability and accumulation above thresholds.
Identify and filter-out drift components from models when computing variograms on gridded data.
The variogram and variogram map applications have been redesigned to facilitate their use.
Check the relevance of your variogram model and validate it using cross-validation.
Standard and Mining editions
Load Vulcan block models (regular or sub-blocked), wireframes, and drill holes/composites using already built Python scripts. Export a grid to a new Vulcan Block Model or update/create new variables into an existing one.
Data analysis and management
Select a representative subset of simulations to characterize the risk attached to a project with the Simulation Reduction tool. This tool, first developed in Isatis, allows reducing the original number of realizations into a few more manageable items while preserving the statistics of the original simulation set.
This algorithm derives from the “Simulation Scenario Reduction in Mining” 2-year research project in collaboration with Cerna, the “Centre d’Economie Industrielle” from the French school MINES ParisTech and the French Mining Group Eramet.
Analyze grade variations from either side of domain limits using the Contact Analysis tool that was previously available in Isatis. It helps you qualify how domains can be treated at the estimation step (i.e., hard/soft boundary, transition domain definition, etc.).
Create sub-block models from scratch. Sub-celling is done from either side of domain boundaries. Run estimation on sub-block models or migrate estimates or simulation results from regular block to sub-block models for further processing.
Assess resources through Multiple Indicator Kriging (MIK). This non-linear resource estimation technique is commonly used when the sample grade distribution is skewed, or drilling is wide-spaced. It consists of kriging several indicators, from which grade-tonnage values (quantity of metal Q, tonnage T, and mean grade M above cutoffs) and the e-type estimate (the expectation of the distribution defined by the kriged indicators and the histogram interpolation parameters) are derived.
Validate simulation outputs with the newSimulation validation tool. It lets you compare a group of experimental variograms calculated on a subset of simulations to the variogram from the original data to check their consistency with the input data.
Resource Workflow (Mining Edition only)
The Ore Control application is now able to manage blasthole data as point data, not only as drillhole core samples.
Standard and Petroleum editions
Load LAS files, IRAP Classic ASCII or binary files and CPS-3 files (Schlumberger format) through dedicated import interfaces. Export grids to IRAP Classic and CPS-3 files.
Identify several reservoirs at the same time. Get the probability maps to be inside each reservoir and the spill point depth for each reservoir.
Calibrate depth surface to depth markers.
Reduce mis-ties and uncertainty at locations where two or more different measures are recorded. Get an estimated surface and its associated uncertainty. Mis-ties analysis may require to merge lines and/or sections in a single file to process them in a go.
Estimate synthetic markers from time and velocity horizons when marker information is insufficient for a relevant time-to-depth conversion, specifically in the exploration phases. If less than a dozen wells are available, the variogram is calculated from the seismic data instead of wells data.
Manage uncertain markers and estimated markers at wells.
Assign a given uncertainty to depth markers and fault locations (one for each category of faults).
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