Automation, Telemechanization and Communication in Oil Industry

The paper considers the necessity of controlling the drilling fluid pressure at the well bottom directly during drilling and information transmitting through a wireless electric communication channel between a well bottom and a wellhead. The existing methods for determining the pressure of the drilling fluid at the bottom of a well are considered, their disadvantages are shown. A diagram of the downhole drilling fluid frequency pressure sensor is provided. The sensor’s design and principle of operation are described. The results of the pressure sensor experimental study are presented. The main functional dependence of the quality factor of the mechanical oscillatory system on the pressure value is revealed. It is shown that the proposed sensor has increased its measurement accuracy. Recommendations on the additional error elimination are given.

Keywords: drilling fluid pressure; measurement; borehole bottom; mechanical oscillatory system; quality factor; frequency response; bandwidth; natural frequency; drive and sweep system.

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UDC 681.121.89.082.4 DOI: 10.33285/0132-2222-2020-5(562)-13-18

ULTRASONIC FLOW MEASUREMENT TECHNOLOGY (p. 13)

Khalim Nazipovich Muzipov, Cand. of tech. sci., associate professor

Tyumen Industrial University

38, Volodarsky str., Tyumen, 625000, Russian Federation,

e-mail: muzipovhn@tyuiu.ru

The paper describes ultrasonic flow meters and principles of their operation. Calculations of flow measurement using ultrasonic flow meters are presented. The arrangement of ultrasonic gas flow sensors – DYMETIC-1223M – is described. The technical characteristics of the sensors, the calculated error of DYMETIC-1223M sensor are given. Application area of DYMETIC-1223M sensor is described.

Keywords: ultrasound; flow meter; gas; error; ultrasonic pulse; fluid flow; piezoelectric transducer.

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UDC 621.316.925 DOI: 10.33285/0132-2222-2020-5(562)-19-23

AUTOMATION OF RELAY PROTECTION MATCHING PROCESS
WITH DEPENDENT CHARACTERISTICS FOR OIL INDUSTRY FACILITIES (p. 19)

Ekaterina Petrovna Vlasova, Cand. of tech. sci, associate professor,

Oleg Nikolaevich Kuzyakov, Dr. of tech. sci, associate professor, Head of the Department,

Ruslan Apollonovich Kudryashov, Cand. of tech. sci, associate professor,

Tatiana Viktorovna Zolnikova, master’s student

Tyumen Industrial University

38, Volodarsky str., Tyumen, 625000, Russian Federation,

e-mail: vlasovaep@tyuiu.ru, kuzjakovon@tyuiu.ru, tatiana_zolnikova96@mail.ru

Currently, due to the introduction of digital relay protection, there occur more and more problems associated with various methods of calculations, and their coordination. The existing relay techniques settings do not allow for proper selection of the type of characteristics. There occurs a need to use dependent characteristics when coordinating the relay protection system, which contributes to better coordination and selectivity. The paper deals with actual problems of development and implementation of the automation process of coordination of microprocessor relay protection with dependent characteristics for objects of the oil industry. The proposed model allows coordination of sequentially installed sets of microprocessor protection with less accumulation of time exposures and increased system performance, as well as provides both near and far redundancy of its and adjacent object, which meets the requirements for selectivity and sensitivity of protection.

Keywords: digital relay protection; method of calculation of relay protection settings; two-stage over current protection.

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UDC 551.506.8 DOI: 10.33285/0132-2222-2020-5(562)-24-25

UNIVERSAL METHOD FOR COMPARING NOISE IMMUNITY
OF VARIOUS SYSTEMS (p. 24)

German Ivanovich Ilyin, Dr. of tech.sсi., Professor,

Valentina Stepanovna Yunusova, post-graduate student

FGBEE HE "Kazan National Research Technical University A.N. Tupolev–KAI"

10, K. Marx str., Kazan, 420010, Russian Federation,

e-mail: kai@kai.ru

The article proposes a universal method for comparing the noise immunity of receiving devices. As an example, we consider comparisons of the noise immunity of a quasi-optimal receiving device, an optimal receiving device, and an optimal receiving device with reduced out-of-band noise.

Keywords: universal estimation method; noise immunity of receiving devices; detection curves; probability of error.

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UDC 681.518+519.878:622.276+330.47 DOI: 10.33285/0132-2222-2020-5(562)-26-36

INTELLIGENT DRILLING IN DIGITAL FIELD DEVELOPMENT (p. 26)

N.А. Eremin^{1, 2}, Dr. of tech. sci., Professor,

A.D. Chernikov¹, Cand. of tech. sci., leading researcher,

O.N. Sardanashvili¹, Cand. of tech. sci., leading researcher,

V.E. Stolyarov^{1,
3}, researcher

¹Oil and Gas Research Institute Russian Academy of Sciences

3, Gubkin str., Moscow, 117971, Russian Federation,

e-mail: ermn@mail.ru, cha60@mail.ru, o.sardan@mail.ru, vbes60@gmail.com

²National University of Oil and Gas "Gubkin University"

65, Leninsky prosp., Moscow, 119991, Russian Federation

³Scientific Technical Center of PJSC "Gazprom"

16, Nametkin str., Moscow, 117997, Russian Federation

The oil and gas well is the main technological object and means that determines the efficiency of production at all stages of the oil and gas field's life cycle. The paper describes a promising technology that reduces the level of accidents, measures that prevent complications and accidents during the construction of oil and gas wells based on constantly operating geological and technological models of fields using artificial intelligence, industrial internet and industrial blockchain technologies conducted within the framework of a digital field creation. According to experts, intelligent high-tech wells contribute to efficient production management and quick economic return on investment and reduce development costs by 3…5 % and operating costs by at least 20 %. The proposed technologies allow optimizing the cost of well construction, ensuring an increase in the level of production (oil and gas) due to the integrated application of Industry 4.0 technologies, including those ones for offshore projects.

Keywords: development of oil and gas fields; well construction; drilling of oil and gas wells; geological and geophysical information; Big GeoData; prevention of accidents and complications; petroleum internet of things; neural networks; artificial intelligence; data reliability; industrial blockchain; automated system; models; machine learning; neural network computing; geophysical services; geological and technological research.

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UDC 622.162.4 DOI: 10.33285/0132-2222-2020-5(562)-37-42

APPLICATION OF MATHEMATICAL STATISTICS METHODS TO DETERMINE
THE LEVEL OF SAFETY CULTURE OF AN OIL AND GAS ENTERPRISE (p. 37)

Elena Vitalevna Glebova, Dr. of tech. sci., Professor,

Maria Viktorovna Ivanova, Cand. of tech. sci., associate professor,

Anton Valerevich Korobov, Cand. of tech. sci., associate professor,

Anastasia Andreyevna Tokareva, student

National University of Oil and Gas "Gubkin University"

65, Leninsky prosp., Moscow, 119991, Russian Federation,

e-mail: mariyivanova@yandex.ru

The formation of a high level of safety culture is one of the most urgent and modern tasks of the oil and gas industry. This thesis is confirmed by the fact that the cause of most failures and accidents at work is a lack of competence and a low level of safety culture of employees. The paper examines the level of safety culture at a gas processing plant. The paper highlights 16 most important components of the safety culture. A questionnaire is presented that allows employees to assign an average rating to each component. Using a single-factor analysis of variance, the relationships between the socio-biographical characteristics of employees and the level of development of their safety culture were revealed. And using k-means cluster analysis, all employees are divided into three groups based on the level of security culture development (low, medium, and high). The diagram that shows the percentage of employees in each group is presented. The average ratings of each component within each cluster are also analyzed. The corresponding graphs are provided, which show the assessments of all components of the safety culture for each group separately.

Keywords: safety culture; components of safety culture; analysis of variance; cluster analysis.

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UDC 622.276.5+51-7 DOI: 10.33285/0132-2222-2020-5(562)-43-56

EXPRESS-METHOD FOR BUILDING APPROXIMATION MODELS
OF WELLS FLOW RATE PREDICTION BY HISTORY DATA (p. 43)

Vladimir Alexandrovich Tolpaev, Dr. of phys.-math. sci., Professor, leading researcher,

Kurban Sapizhullaevich Akhmedov, Cand. of tech. sci., adviser,

Musheg Tigranovich Petrosyanc, post-graduate student, researcher

JSC "North-Caucasus Research and Design Institute of Natural Gases"

419, Lenin str., Stavropol, 355000, Russian Federation,

e-mail: v.a.tolpaev@mail.ru, kurban2000@mail.ru, PetrosyancMT@scnipigaz.ru

An express-method for estimating forecast field parameters of gas producing wells by the initial data such as "month number – flow rate per day – number of working hours" contained in monthly gas production reports is proposed. A list of working postulates (hypothesis) is accepted for calculating wells forecast field parameters, in particular forecast flow rates is proposed. An algorithm for calculation of a gas producing well field parameters which could be implemented in MS Excel is developed. Test calculation examples by actual field data of a well forecast pressure drop curves are given.

Keywords: approximation; mathematical modeling; geological-technical measures; well; gas field; flow rates predictions; predicted specific recoverable gas reserves; prediction of a field development time.

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UDC 681.2.08+681.121.1 DOI: 10.33285/0132-2222-2020-5(562)-57-59

LEVEL-MEASURING INSTALLATION FOR VERIFICATION
OF THE LEVEL GAUGES IN THE MEASUREMENT CHANNEL
OF THE BOTTOM WATER LEVEL (p. 57)

Vadim Shamilevich Bikkulov, engineer,

Alexander Viktorovich Kondakov, Cand. of chem. sci., Head of the Department

VNIIR – Affiliated Branch of the D.I. Mendeleyev Institute for Metrology ("VNIIM–VNIIR")

7a, Vtoraya Azinskaya str., Kazan, 420088, Russian Federation,

e-mail: vniir.nio-7@yandex.ru

The design of a level measuring installation for verification of the level gauges in the measurement channel of the bottom water level is presented.

Keywords: liquid level measuring installation; level measurement; bottom water; level measurement gauge.

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EXHIBITIONS. SYMPOSIA. CONFERENCES (p. 60)

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NATIONAL UNIVERSITY OF OIL AND GAS "GUBKIN UNIVERSITY"

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