Digital support and evaluation of the effectiveness of geological and technical measures based on artificial intelligence systems

Abstract

In this paper, the authors present the approbation of an artificial intelligence algorithm for digital support and evaluation of the effectiveness of the implementation of geological and technical measures in various mining and geological conditions. The object of the study was the deposits of deposit N, characterized by significant variability of parameters reflecting the filtration and capacitance properties of productive formations and their saturating fluids. With the help of the created system, maintenance of repair and insulation works at one of the wells of the object under study was successfully carried out. The presented main stages of the algorithm are universal and can be used in other fields to solve a wide range of problems in the development of deposits. The conclusion is made about the prospects of the direction «digitalization in oil production» and the relevance of the development of this topic in the context of the need to increase the pace of extraction of reserves.