Abstract:
The purpose of this work is to create a learning algorithm which is based on accumulated historical data on
previously drilled wells. Wells will forecast an emergency
accompanied by drilling. Such a decision support system
will help the engineer time to intervene in the drilling process and prevent high drilling costs simple and repair
equipment resulting in an accident. The article provides a
brief overview of the most common method of artificial
intelligence — artificial neural networks, as well as the
main areas of their application in the oil and gas sector. In
their work, the authors distinguish three main areas of use
of such technologies: interpretation of geological data,
exploitation of deposits (smart fields) and price 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.
