To the issue of forecasting the main parameters of carbons’ quality based on the vector simulation

During the prospecting the quality parameters, except for ash content, are specified by core samples and laboratory methods (geological sampling). Nevertheless, while prospecting the receipt of the representative sample with all its specified parameters being identical to the parameters of the carbon layer is difficult because of partial core recovery, its choking, etc. So, it is highly necessary to specify and to forecast the parameters of carbons’ quality by “indirect” methods which depend on sample representativeness. According to the experience that we have in specifying ash content by the data of the geophysical bore-hole logging (GBL), it is the geophysical sampling that meets this requirement. However, the deterrent of the use of the GBL data for specifying and forecasting of carbons’ quality parameters is the necessity of taking into consideration of a great number of factors (genetic and epigenetic ones) which can not be analyzed using the current mathematical methods. Only the vector simulation solved this task and helped to use the results of geophysical bore-hole logging for forecasting the parameters of carbons’ quality in full measure. The vector simulation will allow to enhance reliability and informativity while forecasting the main parameters of carbons’ quality in the rock mass according to the GBL data at the stage of geological exploration. While systematizing the geological and geophysical information the developed mathematical model, presented by structural vectors of system’s transient states, will enable to take into account some genetic and epigenetic factors in total. These factors influence the reliability of forecasting about such main parameters of the carbons’ quality as ash state, yield of volatile matters, moisture of analysis sample, thickness of plastic layer in the layers where geological sampling is not conditioning.