IngeosMAP (iMAP)® is state-of-the-art comprehensive technology for 2D model building and representation.

This is the first product in the special-purpose software, and allows to fully solve a wide range of problems related to technologies of G&G data mapping, prediction, and integration.

It is necessary for:

  • Geologists
  • Geophysical data analysts
  • Geomodellers
  • Specialists in reserves assessment

The program is posted on the website and available for download – DOWNLOAD THE DEMO VERSION.

You can learn about all the features of the program in the presentation – DOWNLOAD THE PRESENTATION.

Ten advantages of the IngeosMAP software (iMAP) ®:

1. Complete cycle technology to work with 2D geological models

  • Data import/export
  • Interpolation
  • Visualisation
  • Analysis
  • Editing
  • Export and printing of graphics
  • Project-based storage of prepared graphical annexes and figures

2. Integration of geological and geophysical information

  • Classification with building a matrix of classes: analysis of geological and geophysical interpretation objects (structural surfaces, thickness maps, petrophysical properties, potential field continuations, etc.), and identification of anomalies of one character against the background of the other
  • Multiple linear regression with automated validation of references and regressors
  • Determination of the best combination from any number of regressors and references
  • Calculation of pair correlation coefficients
  • Statistical values output (both graphical and tabular)

3. Fast, flexible, interactive editing of grid models

Fault tectonics maintenance in the course of calculations with and editing of grids.

Processing modes:

  • With temporary polygons: local smoothing, grid blanking taking into account fault lines geometry; copy-paste of grid fragment from one grid to another
  • Interactive editing of grid with the use of vectors: changes in grid occur along any number of vector directions

4. Full-featured graphical visualization of objects

  • Building axonometric projections, visualization in the form of composite vector objects; building pie/clock charts, etc.
  • Colour scale editor for grid-type objects; large variety of icons for well data displaying and line types for linear objects (pinch-out, alternation, GWC, etc.); transparency control for all object types

5. Flexible settings for grid smoothing:

  • Along faults, lines, contours
  • Inside/ouside of polygons
  • With arbitrary window size for each cell (window is grid-dependent), etc.
  • Window-based smoothing taking into account fault line geometry (if any) is used

6. Frequency decomposition:

Technology allows solving a wide range of the problems, such as:

  • Structural and tectonic zoning
  • Delineation and assessment of resources of promising exploration targets
  • Estimation of conditions optimality for oil and gas saturation, and many other

7. Automated correction (matching) according to well data and linear objects taking into account faults

GWC, OWC contacts, pinch-outs, contours of amplitude anomalies, etc.

Implemented algorithms are based on:

  • Interpolation of misfits between grid-based object values and parameter values (point or linear object)
  • Well-by-well processing (suitable for wide well spacing, block tectonics)

8. Method of automated validation  

This method is generally used to validate and estimate accuracy of structural imaging, and it can also be applied to estimate accuracy of mapping of any attribute (e.g., thickness, porosity, etc.) carried out with the use of data interpolation techniques.

Accuracy of structural map creation is determined by accuracy of average velocity maps based on well data, i.e., by interpolation error that in turn contains errors of time and elevation determination. Method of validation is based on iterative calculation of prediction error where one of the wells is excluded in each run. This method can give a reliable estimate of prediction error when the wells are evenly distributed over the area; modelling tests show that it is efficient when number of wells exceeds 15.

9. Statistical analysis of links:

  • Building crossplots “grid-grid”, “well-well”, “well-grid”
  • Building crossplots with possibility of interactive elimination of points from the analysis

Crossplot is one of the most visual way of representation for both initial data and results. The main purpose of crossplotting is search for and validation of the existing hypotheses and concepts, while visualization, proper substantiation, and interpretation of the patterns obtained is the major task for geologist or geophysicist-analyst.

10. Calculator for coordinates conversion:

  • Possibility to operate with geographical coordinates and normal grids
  • Open library proj4 is applied
  • Automated conversion of grid-based objects geometry between the projections, taking into account faults (data re-interpolation between grids)