Geovariances: Where no one has gone before

To be confident in the representativity of your data and in the quality of your results, you need to rely on a sound software package. Isatis is the unique geostatistics-dedicated software package which offers, in a single commercial package, an exclusive range of proven geostatistical techniques for in-depth data analysis, estimation and simulations, providing you with the best expected results.

Isatis full connection with professional standard software packages allows to load a wide variety of data and output the results in a format best suited to your needs.

Isatis batch facilities enable automatic procedures for updating and easy reproduction of workflows.

Isatis is being offered in several modules: ESDA, MODELING, SIMULATIONS, FAULTS, 3D-VIEWER, ISATOIL, M2RC.

1. ESDA (Exploratory Spatial Data Analysis)

The ESDA module gives you access to various tools for data management, data analysis, data quality control and modeling, enabling you to derive new properties.

• Data Integration
  
  
  • Import: ASCII, Binary, Arcview Shapefile and grids, Boreholes with Deviation Survey Data, Datamine, DXF (Autocad), Excel, Geoshare, Geocap, Gslib, Irap Classic, LAS, ODBC, RML – Heresim 3D, SEG-Y, Vulcan, Z-Map Plus.
  • Export: ASCII, Binary, Arcview, CMG, Datamine, Eclipse, Geocap, Gslib, Irap Classic, RML – Heresim 3D, SEG-Y, TIFF, Vulcan, VIP, Whittle Four-D, Z-Map Plus.
  • Direct link to ISATIS in Gocad® (from Paragdim), Petrel® (from Schlumberger) the RML® (from Beicip Franlab) and Gems® (from Gemcom).
• Data Management
  
  
  • File Manager. Variable Editor.
  • Several selection utilities to build masks on samples (i.e. interactive selection of samples from a graphical basemap, intervals on numerical variables, patterns on alphanumerical variables, polygons, wireframes and convex hull, macro-selections to handle domaining).
  • Various tools for data manipulation between files.
  • Management of polygons (2D/3D) and wireframes.
• Many and various computation facilities
  
  
  • Advanced calculator to modify or create new variables. Encoding of new alphanumerical variables or decoding of alphanumerical variables.
  • Variable transformation (normation, truncation)
  • Cross-files statistics and variable copy.
  • Compositing of drillholes.
  • Declustering (weighted variable).
  • Service variables (estimation of recoverable resources).
  • Discretization and flattening of wells to work in homogeneous geological units.
  • Unfolding and folding of geological units (3D lines and grids).
• Exploratory Data Analysis
  
  
  • Classical statistics computation (univariate, multivariate).
  • Computation and display of different statistics (possibly weighted) in linked windows: basemap, histograms, cross-plots, grade-tonnage curves, standard QQ-plots and PP-plots, experimental variograms and related functions (i.e. covariances, 1st order variograms, variogram cloud) in any direction of the space (3D, 2D or 1D), variogram maps (2D and 3D), H-scatter Plot.
  • Unique ability of picking data in the linked graphic windows (e.g. samples in the basemap, points of variogram cloud, etc.) for identifying spatial variability and masking possible outliers or anomalous data.
  • Principal Component Analysis. Minimum/ Maximum Autocorrelation Factors.
• Interpolation
  
  
  • Polygons of influence, moving average, moving median and moving dip average, inverse of a powered distance, least squares polynomial fit, discrete splines, linear model kriging, spline model kriging.
  • Display of 2D/3D set of isolated points, 2D/3D regular grids, regular 2D surfaces, 3D lines, fence sections on 3D grids or 2D surfaces.
  • Color scale and palette management.
  • Graphic editor.
• Batch procedures
  
  Parameter files and journaling file system for automatic batch procedures and auditing.
• On-line documentation / Reference guide
  
  Easy access to the user’s guide and technical references through standard browser.

2. MODELING

The MODELING module enables you to create the model to be used as input in the estimation procedure.

• Statistics
  
  
  • Cloud transform simulation.
• Modeling
  
  
  • Stationary variables:
    
    
    • 2D-3D variogram modeling with geometrical and/or zonal anisotropies.
    • 2D/3D isotropic and directional variogram, identification of directions and scales of continuity through unique 3D interactive variogram map
    • Multi-directional display of experimental variograms.
    • Interactive graphical fitting of variograms.
    • Exhaustive set of variogram models.
    • Automatic fitting of simple and cross variograms.
    • Fitting of a punctual model using an experimental regularized variogram.
    • Average model.
    • Variograms on large simulated grids
  • Non-stationary variables:
    
    
    • Automatic drift identification (IRF-k, external drift functions, automatic covariance recognition).
    • Global trend modeling.
  • Variogram regularization
  • Histogram modeling (univariate: anamorphosis function, weighted histograms, global support correction including information effect with grade-tonnage curve calculations).
  • Cross-validation.
• Kriging & Cokriging
  
  
  • Definition of the data search neighborhood for estimation and simulation techniques (unique, ellipsoidal, sequential). Powerful search neighborhood optimization.
  • Simple kriging, ordinary kriging, IRF-k kriging.
  • Point or block estimate, 2D and 3D polygon estimate (global estimation), estimation of the drift, first and second order derivatives.
  • Advanced techniques such as kriging with variance of measurement error, model components filtering, factorial kriging analysis, deconvolution, residual kriging, external drift, collocated cokriging, kriging with inequalities.
  • Non-linear techniques: Disjunctive Kriging, Uniform Conditioning (univariate), Indicator kriging.
  • Lognormal kriging, macro kriging for clustered data.
  • Confidence intervals estimation.
• Non-conditional simulations
  
  
  • Exhaustive set of non-conditional simulations.
• Risk Assessment
  
  
  • Grade-tonnage curves.
  • Post-processing of simulation results: expectation curves on surfaces & volumes, mean and variance maps, probability and quantile maps, histogram of realizations for some interactively selected points.
  • Volumetrics processing. Spill Point calculations.

3. SIMULATIONS

The SIMULATIONS module gives you access to a wide range of conditional simulation techniques for use in risk assessment.

• Turning Bands method: univariate and multivariate simulations, allowing stationary, intrinsic and non stationary models, with kriging or cokriging conditioning, in unique or moving neighborhood. Point or block simulations.
• Sequential Gaussian Simulations
• External Drift Simulations, Collocated Cosimulations, LU decomposition.
• Truncated Gaussian Simulations, Plurigaussian Simulations, Boolean Simulations, Sequential Indicator Simulations. Multiple-point Simulations.

4. FAULTS

The FAULTS module enables the handling of 2D or 3D faults in variogram calculations and in kriging and simulation procedures.

5. ISATIS 3D VIEWER

The Isatis 3D Viewer module offers sophisticated visualization abilities allowing in-depth data exploration and control in 3D.

• Representation of 2D/3D punctual data, wells/boreholes data, 3D models, 2D surfaces, 2D/3D polygons, 2D/3D faults.
• Visualization of 3D neighborhoods.
• Many features such as clipping, slicing, zooming, filtering, database inquiry, …
• Easy export of any graphic page in standard image formats.
• Direct link to Isatis database for automatic refresh.

6. ISATOIL

Isatoil is an advanced 2D modeling technique for building a consistent 3D, stacked sequence (layered geological model) using an original global multi-layer approach.

7. M2RC (Multivariate Recoverable Resource Consortium)

• Statistics
  
  
  • Gibbs Sampler
• Modeling
  
  
  • Histogram modeling (multivariate: anamorphosis function, weighted histograms, global support correction including information effect with grade-tonnage curve calculations.
  • Domaining (border effect, contact analysis).
• Kriging & Cokriging
  
  
  • Non-linear techniques: Uniform Conditioning (multivariate).
• Simulations
  
  
  • Direct Block Simulations.