Data Mining to Solve Oil Well Problems

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.