Field oil viscometer and methods for calculating viscosity of water-cut fluids

Valeev, M.D.; Mingulov, I Sh; Mingulov, Sh G.; Mukhametshin, V.V.; Кулешова, Л. С.; Zinnatullin, R. R.

doi:10.1088/1742-6596/2176/1/012079

J. Phys.: Conf. Ser.

2022

DOI: 10.1088/1742-6596/2176/1/012079

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Field oil viscometer and methods for calculating viscosity of water-cut fluids

M.D. Valeev

I Sh Mingulov

Sh G. Mingulov

et al.

Abstract: A field oil viscometer is developed and certified for measuring the viscosity of water-cut oil sampled from a well manifold line or a field pipeline. A method is proposed for calculating oil viscosity differing in standard water-cut based on a single well measurement, regardless of the water-cut of a fluid and its temperature. The viscosity of standard water-cut oil is measured when a sampled dry crude oil is degassed to atmospheric value.

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2024

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Cited by 2 publications

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Methodology for predicting the specific effectiveness of geological and technological measures aimed at increasing the coefficient of reservoir coverage by flooding

Gilyazetdinov,

Voblikova,

Sharipov

et al. 2024

E3S Web of Conf.

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Recently, there has been a tendency in the Russian Federation to reduce the design values of oil recovery, the main parameter characterizing the rationality of field development. In many ways, the decrease in question is due to the development of the most productive deposits discovered back in Soviet times. To maintain production levels in mature fields, it is necessary to apply various methods of increasing oil recovery (MIOR). According to many experts, one of the most effective ways to increase oil recovery are methods aimed at increasing the reservoir coverage ratio and displacement coefficient by pumping various chemical compositions into the productive reservoir. Thus, when using various physico-chemical methods of enhanced oil recovery (PCMOR), it is necessary to conduct preliminary assessments of their effectiveness. Due to the comprehensive analysis of field data on several fields in Western Siberia, the main geological and technological parameters that most affect the effectiveness of the measures are highlighted in the work. Based on the selected characteristics, using geological and statistical modeling, a methodology for predicting the specific effect of PCMOR MIOR treatments has been developed.

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Methodology for predicting the specific effectiveness of geological and technological measures aimed at increasing the coefficient of reservoir coverage by flooding

Gilyazetdinov,

Voblikova,

Sharipov

et al. 2024

E3S Web of Conf.

View full text Add to dashboard Cite

show abstract

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

Gilyazetdinov

2024

E3S Web of Conf.

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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.

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Field oil viscometer and methods for calculating viscosity of water-cut fluids

Cited by 2 publications

References 7 publications

Methodology for predicting the specific effectiveness of geological and technological measures aimed at increasing the coefficient of reservoir coverage by flooding

Methodology for predicting the specific effectiveness of geological and technological measures aimed at increasing the coefficient of reservoir coverage by flooding

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

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