Scientific and technical journal

«Automation and Informatization of the fuel and energy complex»

ISSN 0132-2222

Automation and Informatization of the fuel and energy complex
Analysis of current status of liquid-filled compositions for bituminous oil production

UDC: 004.855.5:004.942
DOI: 10.33285/2782-604X-2022-12(593)-39-43

Authors:

MUKHUTDINOV AGLYAM R.1,
EFIMOV MAXIM G.1,
SERDYUKOVA ADELYA N.1

1 Kazan National Research Technological University, Kazan, Russia

Keywords: oil stimulation, liquid-filled mixtures, bituminous reservoir, in-situ combustion, bituminous oil, bitumen heating, oil production, enhanced oil recovery

Annotation:

This work is devoted to the analysis and justification of the use of liquid-filled compositions (LFC) for the method of intensifying the inflow of oil, domestic experience is considered in the application and optimization of LFC formulations for influencing the bitumen formation to produce combustion in the formation. The advantages and capabilities of LFC for the production of bituminous oil are shown: the developed compositions are environmentally friendly, safe, do not require special measures to neutralize combustion products, have reliable flammability in a bituminous well, have an affordable cost and a wide raw material base, meet the requirements and are really effective for initiating in-situ combustion (ISC) and bitumen heating. The obtained results make it possible to recommend the use of the LFC for the intensification of the inflow of oil and the production of bituminous oil. The dependence of the combustion efficiency of the compositions on the components of the LFC has been studied, a large array of experimental results has been processed and systematized. The use of modern information technologies (MIT), which are based on knowledge bases, helps to identify the features of the combustion process, using this in the development of promising formulas for the oil production of bituminous oil. Analysis and structuring of the results accumulated over many years of experimental research makes it possible to create knowledge bases for the development of artificial neural networks (ANNs) and intelligent modules based on them, which is an urgent task of scientific novelty and practical significance. This paper shows the possibility of using the experimental information given in the scientific literature in order to build knowledge bases for the development of promising LFC recipes.

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