Histogram analysis and calculation of key statistical parameters The shape of a histogram can be used to determine if a population is bimodal. Image: showing the orebody zone together with composited sample points. Surpac Vision allows you to view the data clearly in 3D. The Geology Zones option allows the portion of the boreholes that lie within the solid model of the zone to be stored in the database and viewed as an interval on the drillhole. The following forms show the flexibility of the downhole compositing function. The compositing tools in Surpac are flexible and designed to composite sample data in the way that you desire. Taking the average (a composite) of the samples over each metre would clearly result in a more valid representation. Clearly the last metre would have an erroneously high level of influence on any analysis. The last metre, however, is represented by 5 samples at 0.2 metre intervals. The first four metres are represented by a single sample each. Imagine that you are interested in a 5 metre zone of a drillhole. Composting Compositing of samples ensures that each interval of material has equal representation in the sample population. The following pages describe each of the four phases of geostatistical analysis. Valid codes are entered for soil and rock descriptions. Over lapping interval samples (in boreholes) are not present. When data is loaded into the database checks are made to ensure that:ĭuplicate sample names are not present. Surpac Vision stores data in a relational database.
Surpac polygon method software#
It is important to recognize that validation of input and output data are as important as understanding geostatistical theory, the software tools and the estimation method being used. Surpac Vision contains a comprehensive suite of geostatistical tools for the above three steps. Typically values are interpolated into block or grid models. Use of the results of the Variogram analysis to estimate values for material throughout the orebody of zone of interest. Variogram analysis to investigate the spatial trends within the sample population, including Variogram calculation, modeling and validation.Ĥ. Histogram analysis and calculation of key statistical parameters in order to identify discrete populations, anomalous values and establish cut grades.ģ. Compositing of samples over a nominated distance to ensure that each interval of material has equal representation in the sample population.Ģ. The three steps involved in Geostatistical analysis include:ġ. They will typically be analyzed by a laboratory for the attributes of interest. Once samples are collected from the field, they are carefully labeled with the sample location and a unique name. The temperatures sampled along the beach are likely to more closely related than samples taken closer by in an inland area where the environment is different. An intuitive example is the taking of temperature samples from a beach. The fundamental premise of Geostatistics is that the processes by which soil and rock materials are created and transformed in nature leads to patterns or trends in the way the properties of the material vary with direction and distance. Geostatistics is used to estimate the values of properties throughout a rock or soil zone, from a population of sample values. It can be vital in determining the most effective and profitable mining methods to apply to a project. It can provide important information about the orebody that can heavily impact the value and economic risks associated with the project. Geostatistical analysis is a vital activity in developing a clear understanding of many mining projects.