Isatis.neo Mining 2024 full crack download license working tested
Isatis.neo Mining 2024 full crack download license working tested
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Isatis.neo Mining 2024.04 full crack download
Isatis.neo is Geovariances’ new generation software in geostatistics. Designed for the highest performance with an intuitive user interface, it provides an unsurpassed choice of statistical and geostatistical tools for thorough data analysis, quality 2D and 3D mapping, simulations, and accurate uncertainty and risk analysis.
Isatis.neo is available in three versions: Standard, Mining, and Petroleum.
QUICKLY GET TO GRIPS WITH SOFTWARE’S USE
- Appreciate an innovative and overall user-interface from which all applications are launched. The software ribbon menu makes it easy to find all available tools.
- Load various 2D or 3D data types (boreholes, drill holes, wells, points, grids, surfaces, volumes, meshes, etc.) and formats (Isatis, acQuire, Datamine, Eclipse, Gocad, Leapfrog, Petrel, Vulcan, CSV, Excel, CAD files, ODBC, SEG-Y, etc.) in a seamless way thanks to flexible file import and export tools. Easily export data to as many formats.
- Benefit from a wide range of tools for data management and manipulation, and calculation of new variables.
- Enjoy systemic naming of output variables that saves you time and ensures name consistency when models are numerous.
FULLY EXPLORE YOUR DATA
- Experience a unique, integrated, and user-friendly application for Exploratory Data Analysis. Achieve thorough data analysis through interactive and linked-together statistical representations (histograms, cross-plots, box-plots, swath-plots, trend-plots, variograms).
- Benefit from superior variography capabilities. Build experimental variograms (multivariate/multi-directional/downhole) and get variogram models automatically well-fitted. Compute variogram maps and identify anisotropies. Fit a model on raw and Gaussian-transformed data in one go.
- Check the relevance of your variogram model and validate it using cross-validation.
- All the inputs users need for kriging or simulation (variogram models, stationarity options, anamorphosis function) are stored in a single dedicated object. It guarantees consistency and makes parameter setting more straightforward.
- Precisely analyze how variables of interest behave across geological domains to assess the type of contact between two domains, whether hard or soft, and improve your understanding of domain connectivity.
- Automatically group samples into homogeneous classes (e.g., facies, geological, or mining domains) and perform domain modeling .
QUICKLY GET RELIABLE ESTIMATES
- Access a broad portfolio of kriging algorithms, including point, block, simple, ordinary, universal, spline, linear kriging, kriging with external drift, faults, local parameters, variance of measurement error, filtering model components, and Mixed Support Kriging, from one dialog box. Additional options are available to deal with multivariate datasets, anisotropic phenomena, uncertain or noisy data, and negative estimates (rescaled cokriging). Perform estimation of sub-blocks (Standard and Mining Editions).
- Assess estimate quality by comparing output statistics with the ones of the input data or any interpolated data globally or per domain.
- Run Kriging Neighborhood Analysis (KNA) to support your neighborhood parameter setting.
- Assess mineral resources through Uniform Conditioning (UC) or Multiple Indicator Kriging (MIK). Localize estimates computed on blocks to SMU (Standard and Mining Editions). Compute grade-tonnage curves.
- Conventional interpolation techniques, such as nearest neighbor, inverse distance, moving average or moving median, linear kriging, spline kriging, and linear interpolation, are also available.
- Cap the higher or lower values in heavy-tailed distributions to ignore outliers in the modeling process.
- Remove imperfections in images by running morphological operations on grids.
ACHIEVE QUANTIFIED RISK ANALYSIS
- Perform risk analysis through non-conditional and conditional simulations (SGS, TB, SPDE) and post-processing for robust uncertainty quantification, or quickly calculating the Conditional Expectation.
- Validate simulation outputs by comparing the simulations’ statistics, distribution, and variograms with the ones of the original data.
- Benefit from the Direct Block Simulations, a unique and powerful algorithm enabling to bypass point scale models to build block scale models directly, thus saving considerable time and disk space (Standard and Mining Editions).
- Select a representative subset of simulations to characterize the risk attached to a project with the Simulation Reduction tool. It reduces the original number of realizations into a few more manageable items while preserving the statistics of the original simulation set (Standard and Mining Editions).
