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RockWorks15 Solid Modeling fashion. It continues in this manner until the program encounters a voxel that is
already assigned.
All Other Solid Models
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Closest Point: The most basic solid modeling method, in which the value of a voxel
node is set to be equal to the value of the nearest data point. Honors your control
points but can generate models with abrupt changes.
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Distance to Point: This method assigns each solid model node a value equal to the
distance to the closest control point, thus generating a confidence model based on
distance.. The distance is recorded in your X,Y,Z units.
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Inverse Distance: This method assigns a voxel node value based on the weighted
average of neighboring data points, either all points or those directionally located,
using fixed or variable weighting exponents.
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Isotropic: The program will use all of the available data points when computing a
voxel node’s value, useful when modeling uniformly distributed data in nonstratiform environments. Drawbacks: Highs are concentrated around the
boreholes. Weighting exponent = “2”.
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Anisotropic: Instead of using all available control points for the Inverse-Distance
modeling, the program will look for the closest point in each 90-degree sector
around the node, useful for modeling drill-hole based data in stratiform deposits.
Tends to connect up highs and lows at the same elevation. Weighting exponent =
“2”.
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Weighting: Uses all data points, but weights them differently based on their
horizontal v. vertical positioning from node. Useful for controlling the
lenticularity of the model. Weighting exponent = user-declared.
Horizontal Biasing: This method functions like the Inverse Distance method except
that the user can define a vertical distance from each voxel node beyond which points
will no longer be used in computing the node value
Help Contents: Reference / Solid Model Reference / Solid Modeling Methods
Solid Model Dimensions
The Model Dimensions options are used to set the boundary coordinates and the number of
nodes to be created in the solid model. The more nodes you specify, the denser the model.
Remember that a 10-node x 10-node x 10-node model (very low resolution) will contain
1,000 nodes; a 50-node x 50-node x 50-node model will contain 125,000 nodes; and a 100
x 100 x 100 model will contain 1 million nodes. The more computations the program needs
to do, the longer the time required to create the model. Denser is not always better. You
might start with less-dense models on trial runs. These settings are offered:
Hardwire Project Dimensions: Choose this option if the solid model dimensions are
to be taken from the current Project Dimensions settings (see page 83). This is generally a
good idea, particularly in projects where multiple models are going to be created and may
need to undergo comparison, mathematical, and filtering operations (in which all models
must be dimensioned the same). Use the Adjust / Examine Project Dimensions
button to view and/or reset the project's dimensions.
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