Scientific and technical journal
«Automation and Informatization of the fuel and energy complex»
ISSN 0132-2222
 
                        № 10(603), October 2023
INFORMATION, MEASURING, EXPERT, TRAINING SYSTEMS
                                        Integration of neural network models and expert knowledge for early fault detection in operation of gas pumping units
                                        
                                    
                                    5-16
                                
                                                                                                                
                                    
                                        Methodological approach to cost estimating gas supply new routes
                                        
                                    
                                    17-24
                                
                                                                                                                
                                    
                                        Supercomputing as a compositional element of digital oil and gas ecosystem
                                        
                                    
                                    25-31
                                
                                                                                                                
                                    
                                        Diagnostics of liquefied natural gas measuring systems
                                        
                                    
                                    32-37
                                
                                                                                                                                                                                                                                                                                                                MATHEMATICAL MODELING AND SOFTWARE
                                        Building predictive models based on artificial intelligence to solve the problem of predicting defects precipitation in pipelines
                                        
                                    
                                    38-47
                                
                                                                                                                
                                    
                                        Application of deep learning methods in actual tasks of core samples microcomputer tomography (micro-CT) processing. Solution of the inverse problem, interpolation of sparse sinograms, image slice filtration
                                        
                                    
                                    48-58
                                
                                                                                                                                                                                                        EXHIBITIONS • SYMPOSIA • CONFERENCES. Proceedings of the XVIII All-Russian scientific seminar with international participation "Mathematical models and methods of analysis and optimal synthesis of developing pipeline and hydraulic systems"
                                        Quasi-stationary hydraulic model of flows in oil and oil product pipelines
                                        
                                    
                                    59-69
                                
                                                                                                                
                                    
                                        Development of methods of network hydrodynamics as applied to two-phase flows of immiscible liquids
                                        
                                    
                                    70-74