Isatis Data Base

• Specificities of the Data Organization inside ISATIS

Management of a 4-level tree organization based on Studies, Directories, Files and Variables.
Manipulation of 1D, 2D or true 3D univariate or multivariate data sets with NO restriction on the number of samples and variables.
Possibility of handling information with a hierarchy (Grid, Line) or without any particular organization (Point).
Storage of alphanumeric or numeric information.
Use of distance-like variables which are handled in standard distance units.
Integration of macro variables. They correspond to variables with many realizations (several values for each point). These specific variables can be handled together at a single time.
Use of Selection Variables to dynamically select or mask samples or to define different regions of the space.

• Files and Data Management

A wide range of tools and facilities is available inside ISATIS:

 File Handling

Full connectivity with third party software enable to import and/or export information (ASCII, Arcview, Boreholes with Deviation Survey Data, CMG, Datamine, Eclipse 3D, Excel, Geocap, geo-referenced data, Geoshare, Heresim 3D, Irap, PDS, SEG-Y, Vulcan, Whittle, Zmap-Plus).
A direct link to Isatis in GOCAD™ (Paradigm), PETREL™ (Schlumberger), the RML™ (Beicip-Franlab) and GEMS™ (Gemcom) enhances collaborative workflow between both softwares.
A Data File Manager allows basic operations on any item of the database (Rename, Copy, Delete, Compress) or specific tasks such as creation, backup and restore of studies, or transformation of 2D data sets into 3D data sets (and vice-versa).
Faults are introduced in ISATIS to take geographical discontinuities into account during interpolation or statistical analysis. They are considered as attributes of an already existing data file.
2D and 3D Polygons are integrated in the database and can be used for quick geographical selections on output grids. In addition, simple statistics may be attached to them.

 Variable Handling

• General Tools
  Various selection utilities enable to build masks on samples based on numeric, alphanumeric or geographic criteria. These selections may be combined among themselves using logical operators. A specific selection tool is used for checking the presence of too nearby data points (duplicates) and for masking them if necessary to avoid any inversion problems. Declustering is accessible inside ISATIS and is invaluable for clustered data sets in order to weight variables when studying their distribution. Copy or Migration of variables between two files (possibly of different types) is possible. Complex arithmetic operations on variables are achieved through numerous elementary transformations. Some procedures are designed for filtering or processing images through simple tool (smoothing of variables along lines or on grids using filters) or more sophisticated and powerful algorithms based on finite differences or morphological mathematics.

• Tools for "Mining"
  Regularization of information along drillholes may be performed in order to get composites of the same size from an irregular line sampling (compositing). The accumulation of a grade variable along lines may be computed and attached to the line. A specific module computes the service variables (Probable Ore and Probable Metal) at data points, on a given support above a certain cutoff. These variables can be processed later on to estimate ore and quantity of metal above a cutoff grade (through a standard kriging procedure). The Grade-Tonnage curves application enables numerical and graphical interpretation of results obtained through standard Kriging, Disjunctive Kriging or Uniform Conditioning in terms of global tonnage.

• Tools for "Oil & Gas"
  A Spill Point facility enables to delineate potential reservoirs on simulation results. In ISATIS, a reservoir is described as a dome filled with a valuable fluid with an extension limited either by a location where fluid has not been encountered (this is called a Water Point), or by the edge of the field. A specific Volumetrics application is dedicated to the quantification of uncertainties applied to simulation results obtained from any of the Conditional Simulation methods offered in ISATIS. Using the different possible combinations between the geometrical parameters (thickness, top and bottom elevations of horizons, oil/gas-water contact, etc.) and the petrophysical parameters (porosity, water saturation and net/gross ratio), the aim is to get probability and quantile maps as well as probability curves of the reservoir volume. A Time Sampling facility, which is designed for people dealing with seismic datasets referenced in time rather than depth, allows to extract seismic attributes for a given horizon interpretation in time.

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