ASSESSMENT OF THE POSSIBILITY OF USING ARTIFICIAL NEURAL NETWORKS FOR PREDICTING OIL PRODUCTION
Currently, the largest oil companies in Russia are facing the problem of falling production of crude oil in the exploited oil reservoirs. This leads to the need to search for and implement more and more effective field modeling tools in order to improve the performance of crude oil production. The article analyzes modern methods of modeling oil fields , their effectiveness in conditions of insufficient input information, and their applicability and the availability of working with neural network modeling methods to a wide range of specialists.