Process Help

SUPPCORR- change the support model

Process Name	Menu Path	Link to Command Table
SUPPCORR	Available as part of the Uniform Conditioning Wizard	Click here

Introduction
Files, Fields and Parameters
Example

Introduction

The core objective of the change of support model is to estimate the histogram of blocks for the entire domain, from the point histogram.

In a discrete gaussian model (‘DGM’), knowing the distribution of sample point values is equivalent to knowing the anamorphosis. The distribution of point data is completely represented by the anamorphosis function.

The distribution of blocks can also be modeled by the block anamorphosis function. These two anamorphoses are directly related in the framework of DGM as the resulting Gaussian point and block distributions are assumed to be bi-Gaussian and acoefficientcan be calculated. This coefficient is directly related to the variance reduction between the raw point distribution and that of a particular support.

Once a change of support model like DGM is implemented one can apply cutoffs to a block histogram model and then calculate the metal,% of grade above cutoff and mean grade above cutoff for the SMU support. This change of support, when applied to the entire domain, is said to be global. Its application on a local basis is also possible (e;g. panel by panel) and then yields local recoverable resource estimates, which can be obtained amongst other methods via Uniform Conditioning.

The distribution of ‘raw’ Z(x) points is transformed into a Normal distribution Y(x) through a process known as Gaussian Anamorphosis.

Support correction is implemented interactively via the Uniform Conditioning Wizard.

Files, Fields and Parameters

Input Files

Name	Description	I/O Status	Required	Type
SAMPLES	A Datamine file that contains sample positional information and supporting attributes.	Input	Yes	Undefined
VGRAM	A Datamine experimental variogram parameter file	Input	Yes	Undefined
SMUSIZES	A file containing the sizes of Selective Mining Units (SMUs)	Input	Yes	Undefined
INFOEFF	You can (optionally) incorporate the information effect to the estimation of the grade tonnage curves: during the production stage, the actual grades are recovered and may then be taken into account so the decision between ore and waste is made upon more accurate estimates of the SMUs. Therefore you can anticipatefuturedecisions before obtaining the production blast-holes results, because only the kriging variance of these SMUs final estimates is necessary.	Input	No	Undefined

Output Files

Name	I/O Status	Required	Type	Description
GRAPH	Output	No	Undefined	A file containing the data required to construct scatter plot and histogram graphs relating to a locally-conditioned SMU model.
STATS	Output	No	Undefined	A file containing summary statistical data (in Datamine binary format) relating to a locally-conditioned SMU model.

Fields

Name	Description	Source	Required	Type	Default
GRADE	The grade field (present in the samples file) that will be considered during the process of Uniform Conditioning.	IN	Yes	Alphanumeric	Undefined
WEIGHT	An optional weighting field.	IN	No	Alphanumeric	Undefined

Parameters

Name	Description	Required	Default	Range	Values
VREFNUM	A reference number relating to an experimental variogram as defined in VGRAM	No	0
DISCX	Number of discretisation points in X direction as used for calculating the covariance of a cell with each of the surrounding samples. This is then used in calculating the kriging weights.	No	5
DISCY	Number of discretisation points in Y direction	No	5
DISCZ	Number of discretisation points in Z direction	No	5
NORMSILL	Use (1) or don't use (0) normalized variogram sill values during grade-tonnage curve generation.	No	0	0,1	0,1
ANGLE1/2/3	Specify the first, second and/or third rotation angles, in degrees, to specify block anisotropy	No	0
AXIS 1/2/3	First, second and third rotation axes. 1=X, 2=Y, 3=Z. The first rotation is by ANGLE1 degrees clockwise around axis AXIS1, when viewed along the axis from positive values towards the origin. 2nd is ANGLE 2 etc.	No	0

Example

!SUPPCORR &SAMPLES(samples), &SMUSIZES(smu), &GRAPH(s_graph), &STATS(s_stats)

*GRADE(AU), *WEIGHT(DENSITY), @VREFNUM=2, @DISCX=5, @DISCY=5, @DISCZ=5, @NUMSMUX=4, @NUMSMUY=4, @NUMSMUZ=4,

	Related Topics
	UC Wizard - Introduction