We know that many times the manipulation of the block model takes a little time due to the number of variables and blocks. When it comes to deposits with analyzes by granulometric range, this number of variables increases considerably. To estimate the model by range, the technique of accumulating the grade variables by range is used and these values are stored in the samples/composites and block model, requiring the creation of decumulated and accumulated variables per element.
In this way, the model becomes confusing due to the immensity of variables, in addition to the user having to execute routines for the accumulation and deaccumulation calculations, causing a considerable increase in the process time, since the user will have to spend time executing such routines and the model due to its physical size (due to so many variables) makes executions slower.
Through this tip, we are going to show that it is possible to practically halve the variables needed to estimate models with granulometric range. For this, MineSight, in its interpolation routines, has, in addition to all its versatility, the option of weighting per item that can be applied during the estimation.
With this option, weighting by range is done during estimation calculations, and there is no longer a need for cumulative and decumulated variables by range for each element in the model.
In a project with 4 tracks, 7 elements analyzed, using the weighting during the estimation calculation, it is possible to eliminate the accumulated variables, which provides a reduction of 45% of file size.
For cubage, we have MineSight Reserve, where the reserve logic is configured, being able to select a weighting item when the variables that will be considered in the cubage are selected, with no need for this information in variables of the block model, which reach double the size of data files. And using MSReserves you get the cubage on-the-fly.
To the next!
