Scientific and technical journal
«Automation and Informatization of the fuel and energy complex»
ISSN 0132-2222
 
                        № 3(620), March 2025
95 YEARS OF GUBKIN UNIVERSITY
                                        Information technologies in the system of training oil and gas engineers
                                        
                                    
                                    5-9
                                
                                                                                                                                                                                                                                                                                                                                                                                                                                                                            INFORMATION, MEASURING, EXPERT, TRAINING SYSTEMS
                                        Neural networks application for semantic segmentation of pores in rock sections images
                                        
                                    
                                    10-16
                                
                                                                                                                
                                    
                                        Sources and methods of error estimation when calculating gas reserves in gas supply systems
                                        
                                    
                                    17-23
                                
                                                                                                                                                                                                                                                                                                                                                                    AUTOMATED CONTROL SYSTEMS FOR TECHNOLOGICAL PROCESSES
                                        Introduction of a computer simulator when training operators of a low-tonnage LNG production unit
                                        
                                    
                                    24-34
                                
                                                                                                                                                                                                                                                                                                                MATHEMATICAL MODELING AND SOFTWARE
                                        Queueing techniques in the problem of reliability and risks assessment and optimisation of the IT-project implementation process
                                        
                                    
                                    35-46
                                
                                                                                                                
                                    
                                        Constructing a finite element approximation for the inverse problem solution using physics-informed neural networks
                                        
                                    
                                    47-55
                                
                                                                                                                
                                    
                                        Modern approaches to addressing the problem of automated geological correlation
                                        
                                    
                                    56-64
                                
                                                                                                                                                    INNOVATIVE TECHNOLOGIES IN PERSONNEL TRAINING FOR THE OIL AND GAS COMPLEX
                                        Various formats of using educational digital products: a case study of National University of Oil and Gas "Gubkin University"
                                        
                                    
                                    65-72