Artificial Intelligence Methods Application in Oil Industry
Zayar Aung, Ilya S. Mikhaylov, Ye Thu Aung
Abstract
The article provides an overview of the methods of artificial intelligence - artificial neural networks and support vector machine, as well as the main areas of their application in the oil and gas sector. In this work three main areas of use of such technologies are investigated: interpretation of geological data, price forecasting and flow regime forecasting. The use of methods based on artificial intelligence increases the efficiency of the work carried out both in exploration and production-makes it possible to achieve better results with less cost. In the new market conditions formed in the energy and mining sectors, it is essential to use all available mechanisms to improve efficiency. It is very convenient to use data mining methods at all stage of oil production.