| 摘要 |
FIELD: oil and gas industry.SUBSTANCE: invention is referred to oil production technologies, and namely to methods of production process monitoring and maintenance of formation pressure based on telemetry data processing by neural network algorithm. The method of neural network analysis of telemetry data for well stock is suggested; the above method consists in recording data on fluid consumption rate at wells, their preliminary processing and presenting as n-dimension vectors; creating m of n-dimension vectors of reference data, which are used as input data for neural network algorithm and for characterisation of wells state for a certain time interval, n-dimension vectors of consumption rate are compared with multitude of nodes of the Self Organising Map (SOM) generated in process of training. At that initial multitude m of n-dimension vectors serves as input data for SOM training algorithm and data used for number identification of the borehole belonging to the node of the trained SOM. The result of displayed borehole numbers at SOM nodes is required for identification of wells mutual influencing and interferencing.EFFECT: suggested method allows increase in deposit development due to selection of sound operational modes based on detected phenomena of the wells mutual influencing and interferencing in process of their operation.2 dwg |
