RockWorks offers a selection of tools for the display and analysis of point-sampled downhole data (P-Data).
Model-Based Diagrams: Interpolate a solid model for a selected P-Data track, or read an existing P-Data solid model, for display as:
3D Solid: A 3D isosurface or voxel display of the interpolated block model. (More info)
2D Profile: Create a profile diagram sliced between two points in the P-Data solid model, with projected striplogs, and color/contour fills. (More info)
Section - Model-Based: Create a 2D multi-panel cross section, sliced between multiple points in the P-Data solid model, with vertical striplogs at panel edges, and color/contour fills. (More info)
Section - Hole-to-Hole: Create a 2D multi-panel cross section with quick correlation panels for a selected track of P-Data between boreholes. Include vertical striplogs at panel edges, and color/contour fills. (More info)
Projected Section - Model-Based: Create a 2D multi-panel cross section, sliced between multiple points in the P-Data solid model, with striplogs projected onto panels, and color/contour fills. (More info)
Fence: Create a 3D multi-panel fence diagram, sliced between multiple points in the P-Data solid model, with 3D logs and color fills. (More info)
Surface Map: Create a map representing the interpolated values where the P-Data solid model intersects a designated surface (.RwGrd file). (More info)
Plan Map: Create a map representing the interpolated values where the P-Data solid model intersects a horizontal plane. (More info)
Statistics: Scan a selected track of P-Data from the database, and compute general statistics. (More info)
Histogram: Scan a selected track of P-Data from the database, and generate a frequency histogram. (More info)
Histograms by Lithology: Scan a selected track of P-Data from the database, and generate a series of frequency histograms representing the distribution of these values for each lithology type recorded downhole. (More info)
Statistics Map: Scan a selected track of P-Data from the database, and generate a grid model and High/Low/Average/Sum map, in 2D and/or 3D. (More info)
Resample: Apply a variety of resampling filters to values in a P-Data track, storing them in another P-Data column. (More info)
Standardize: Record new P-Data values based on standard deviations from a selected mid-line, in saturated versus unsaturated zones. (More info)
Add Random Numbers: Add random numbers to values in a selected P-Data track. (More info)
Logarithmic Conversion: Compute logarithms a selected P-Data track, storing the values in another P-Data column. (More info)
CPS - eU308 - I-Data: Read Gamma counts per second (or milli- or micro-second) and translate them to Uranium Grade values for posting to a track in the I-Data or P-Data table. (More info)
GT Compositing: Compute a variety of GT (grade x thickness) statistical information based on user-defined minimum grade and maximum waste-thickness cutoff values. (More info)
Create Predictive Model: Read 2 P-Data tracks and known lithology for reference holes and create a predictive model for lithology. (More info)
Apply Predictive Model: RIf a good predictive model is available (above) you can apply it to holes without lithologic data. (More info)
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