«Automation and Informatization of the fuel and energy complex»

Use of machine learning for combining geological layers into production facilities in multi-layer oil and gas condensate fields

UDC: 681.5:622.276+622.279
DOI: -

Authors:

¹ Industrial University of Tyumen, Tyumen, Russia

Keywords: multi-layer field, production facilities, layers, deposits, machine learning, clustering, "greedy" algorithm, g-means algorithm

Annotation:

The article reveals the concept of a multi-layer field and substantiates the necessity of combining layers into production facilities. The authors of the article describe the results of the cluster approach to identifying production facilities and propose criteria for combining layers. The advantages and disadvantages of this method are outlined and the main conclusions of the use of machine learning when identifying production facilities in multi-layer oil and gas condensate fields are formulated.

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