3d estimation 3d estimation performs parameter estimation using kriging and other methods to map 3D analytical data onto volumetric grids defined by the limits of the data set, or by the convex hull, rectilinear, or finite-difference grid extents of a geologic system modeled by gridding and horizons. 3d estimation provides several convenient options for pre- and post-processing the input parameter values, and allows the user to consider anisotropy in the medium containing the property.
2d estimation 2d estimation performs parameter estimation using kriging and other methods to map 2D analytical data onto surface grids defined by the limits of the data set as rectilinear or convex hull extents of the input data. Its Adaptive Griddingfurther subdivides individual elements to place a “kriged” node at the location of each input data sample. This guarantees that the output will accurately reflect the input at all measured locations (i.e. the maximum in the output will be the maximum of the input).
gridding and horizons The gridding and horizons module uses data files containing geologic horizons or surfaces (usually .geo, .gmf and other ctech formats containing surfaces) to model the surfaces bounding geologic layers that will provide the framework for three-dimensional geologic modeling and parameter estimation. Conversion of scattered points to surfaces uses kriging (default) or spline (previously in the spline_geology module), IDW or nearest neighbor algorithms.
analytical realization The analytical realization module is one of three similar modules (the other two are lithologic realization and stratigraphic_realization), which allows you to very quickly generate statistical realizations of your 2D and 3D kriged models based upon C Tech’s Proprietary Extended Gaussian Geostatistical Simulation (GGS) technology, which we refer to as Fast Geostatistical Realizations^®^ or FGR^®^. Our extensions to GGS allow you to:
stratigraphic realization The stratigraphic realization module is one of three similar modules (the other two are analytical_realization and lithologic realization), which allows you to very quickly generate statistical realizations of your stratigraphic horizons based uponC Tech’s Proprietary Extended Gaussian Geostatistical Simulation (GGS), which we refer to as Fast Geostatistical Realizations^®^ or FGR^®^. Our extensions to GGS allow you to:
lithologic realization The lithologic realization module is one of three similar modules (the other two are analytical_realization and stratigraphic_realization), which allows you to very quickly generate statistical realizations of your 2D and 3D lithologic models based upon C Tech’s Proprietary Extended Gaussian Geostatistical Simulation (GGS), which we refer to as Fast Geostatistical Realizations^®^ or FGR^®^. Our extensions to GGS allow you to:
Lithologic assessment provides a way to determine the quality of a lithologic model on an individual material basis. The concept and procedure to do t
external_kriging The external_kriging module allows users to perform estimation using grids created in EVS (with our without layers or lithology) in GeoEAS which supports very advanced variography and kriging techniques. Grids and data are kriged externally from EVS and the results can then be read into EVS and treated as if they were kriged in EVS.