IMPLEMENTING ELLIPTIC CRYPTOGRAPHY TO CREATE AN ELECTRONIC DIGITAL SIGNATURE

applicability for the solution of predictive problems in the exploration of hydrocarbons is given. The application of these methods allowed reducing the dimension of the original attribute space without losing information. The obtained results of the parameter prediction using these statistical methods are quite stable, which is confirmed by the results of the correlation dependencies and the cross-validation method. After examining the results, of the statistical analysis of the control data set, it was found that the methods of the principal components and factor analysis were similar in terms of the results obtained. On the one hand, this may indicate that it is sufficient to use one of these methods when processing an input file with geological and geophysical information, but on the other hand, new data sets may have special functional dependencies (new types of traps, reservoir fields, etc.) ). Therefore, the hybrid use will give the most insight into the seismic attributes under study in a particular reservoir data set. In addition, it is considered relevant to investigate the effectiveness of the neural network approach to solve the above mentioned problem.