Methodologies in material balance and statistical data adjustment

A material balance model has been developed that allows for the assignment of statistical weightings to the raw data of a two -product separation.

The statistical weighting factors are derived by applying the concepts of variography based on Gy's sampling theory (1982). The issue of randomness when estimating the V(0) intercept value of the variogram at lag = 0 has been investigated. The effect of sampling duration on the magnitude of V(0) has also been quantified.

The importance of sampling correctness in relation to the automatic sampling of slurry streams has been highlighted.

The operational details of a hydrocyclone (two -product separator) have been outlined. The material balance model has been applied to a case study involving a typical separation in a hydrocyclone. Good agreement between several material balance methods has been found.

The contributions to this area of research can be listed as follows:

(1) The estimation of statistical weightings using variography.

(2) The development and application of a material balance model that incorporates statistical weighting factors.

(3) Define and examine the requirements of sampling correctness.