Decision-making on restriction of water inflows into oil wells in dependence on the type of initial information

Abstract

The report is devoted to the problem of limiting water inflows into oil wells. A large number of studies have been devoted to this subject, theoretical and experimental work has been carried out, but the inadequacy of the decision-making process on the choice of the bottomhole zone treatment method significantly reduces the effectiveness of the problem solution. Depending on the type of initial information, various methods were used at different times, in particular statistical methods known from the theory of fuzzy sets and others. Investigations and analysis of the processes of water inflows show that a number of factors make an influence on efficiency of this process. In this regard, in this paper, the collected data about influence of the of various factors on effectiveness are subjected to fuzzy cluster analysis with the establishment of fuzzy rules that express the influence of the selected factors on the effect duration and the amount of additional extracted oil. Four clusters were obtained with the further formulation of fuzzy rules according to the principle “if …, then …” as a result of the application of fuzzy cluster-analysis program.