You can repeat this process for each domain in the model.īy using this methodology, the geologist has the capability to select an appropriate block size for each domain. Then within the ‘ Search parameters’ form, to apply variable sub-celling, select a block size in the drop down box that differs from the user block size (highlighted in red below) Search Parameters formĤ. This estimation should be constrained within the relevant domain constraint. In the first form, select an input string file and the relevant d-field(s). Start an Inverse Distance estimation by selecting: Block model > Estimation > Inverse Distance. In this example we will run Inverse Distance on one domain.ģ. Run an Inverse Distance, Ordinary Kriging, Nearest Neighbour or Simple Kriging estimation. In this example, I am using Surpac 6.8.Ģ. Open your block model in GEOVIA Surpac software.
The selected block size can be either a multiplication or division of the user block size. The variable sub-celling feature allows the user to select a block size, as an alternative to the user block size, for estimating block values within a constraint. Example of domains with differing sample distribution This allows a block attribute to be estimated into different domains, using different block sizes in each, within the same block model, thus ensuring appropriate sample support for each domain. To help manage this within a single block model where different domains are drilled with different patterns, GEOVIA has introduced the variable sub-celling feature into Surpac 6.7.2. However, nature is not consistent and geology is not usually regular. drilling pattern) is consistent and the user block size is representative across the entire model.
Sub-blocking is a valid approach when the data density (e.g.
partial percentages).Įach of these methods has its merits, however the most widely used method across the industry is sub-blocking. A sub-blocked model estimates the block value into the user block size, which in turn fills the sub-blocks. Geologists should also consider the block size variation in a model and whether they should have a single uniform user block size across the entire model, if they should apply sub-blocking or use an alternative methodology (e.g. Geostatistical parameters such as Kriging efficiency or conditional bias slope.Usually this is defined by one or more of the following block size considerations: When geologists create a block model, one of the most important decisions is the block size.
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