Vibration transmission characteristics of complex lubricating oil pipeline system

The challenges of increasing the energy efficiency of the economy as a whole and of certain production sectors in particular are a priority both in our country and abroad. As part of the energy policy of the Russian Federation to reduce the specific energy intensity of enterprises in the oil transportation system, Transneft PJSC developed and implements the energy saving and energy efficiency improvement Program. The application of energy-saving technologies allowed the company to significantly reduce operating costs and emissions of harmful substances. At the same time, further reduction of energy costs is complicated for objective reasons. The objective of this article is to present additional methods to improve the energy efficiency of oil transportation by the example of the organizational structure of Transneft. Possibilities to reduce energy costs in the organization of the operating services, planning and execution of work to eliminate defects and preparatory work for the scheduled shutdown of the pipeline, the use of pumping equipment, including pumps with variable speed drive, the use of various pipelines layouts, changing the volume of oil entering the pipeline system and increase its viscosity.

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Estimating vibration transmission characteristics in tooth roots: A study.

Nihon Hotetsu Shika Gakkai Zasshi ◽

10.2186/jjps.31.907 ◽

1987 ◽

Vol 31 (4) ◽

pp. 907-915

Author(s):

Eiichi Hanzawa ◽

Hideaki Takehana ◽

Akira Kimura ◽

Minoru Toyoda ◽

Etsuro Matsuo

Keyword(s):

Transmission Characteristics ◽

Vibration Transmission ◽

Tooth Roots

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Modified equations for hydraulic calculation of thermally insulated oil pipelines for the case of a power-law fluid

SCIENCE & TECHNOLOGIES OIL AND OIL PRODUCTS PIPELINE TRANSPORTATION ◽

10.28999/2541-9595-2021-11-4-388-395 ◽

2021 ◽

pp. 388-395

Author(s):

Марат Замирович Ямилев ◽

Азат Маратович Масагутов ◽

Александр Константинович Николаев ◽

Владимир Викторович Пшенин ◽

Наталья Алексеевна Зарипова ◽

...

Keyword(s):

Power Law ◽

Analytical Calculation ◽

High Viscosity ◽

Hydraulic Calculation ◽

Flow Index ◽

Pipeline System ◽

Power Law Fluid ◽

Simplified Approach ◽

Oil Pipeline ◽

Oil Pipelines

Теплогидравлический расчет неизотермических трубопроводов является наиболее важным гидравлическим расчетом в рамках решения задач обеспечения надежности и безопасности работы нефтепроводной системы. Для практических расчетов применяются формулы Дарси - Вейсбаха и Лейбензона. При этом в ряде случаев (короткие теплоизолированные участки, поверхностный обогрев нефтепроводов) можно использовать упрощенный подход к расчету, пренебрегая изменением температуры или учитывая температурные поправки. В настоящее время формулы для аналитического расчета движения высоковязких нефтей в форме уравнения Лейбензона получены только для ньютоновской и вязкопластичной жидкостей. Для степенной жидкости соответствующие зависимости отсутствуют, расчет ведется с использованием формулы Дарси - Вейсбаха. Целью настоящей статьи является представление формулы Дарси - Вейсбаха для изотермических течений степенной жидкости в форме уравнения Лейбензона. Данное представление позволит упростить процедуру проведения аналитических выкладок. В результате получены модифицированные уравнения Лейбензона для определения потери напора на участке нефтепровода в диапазоне индекса течения от 0,5 до 1,25. В указанном диапазоне относительное отклонение от результатов расчетов с использованием классических формул Метцнера - Рида и Ирвина не превышает 2 %. The thermal-hydraulic calculation of non-isothermal pipelines is the most important hydraulic calculation in the framework of solving the problems of ensuring the reliability and safety of the oil pipeline system. For practical calculations, the Darcy - Weisbach and Leibenson formulas are used. Moreover, in a number of cases (short heat-insulated sections, surface heating of oil pipelines), a simplified approach to the calculation can be used, neglecting temperature changes or taking into account temperature corrections. At present, formulas for the analytical calculation of the motion of high-viscosity oils in the form of the Leibenson equation have been obtained only for Newtonian and viscoplastic fluids. For a power-law fluid, there are no corresponding dependences; the calculation is carried out using the Darcy - Weisbach formula. The purpose of this article is to present the Darcy - Weisbach formula for isothermal flows of a power-law fluid in the Leibenzon form, which will simplify the procedure for performing analytical calculations. The modified Leibenzon equations are obtained to determine the head loss in the oil pipeline section in the range of the flow index from 0.5 to 1.25. In the specified range, the relative deviation from the results of calculations using the classical Metzner - Reed and Irwin formulas does not exceed 2 %.

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MPC Under IEC-61499 Using Low-Cost Devices for Oil Pipeline System

2018 IEEE 16th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin.2018.8472094 ◽

2018 ◽

Cited By ~ 1

Author(s):

Carlos A. Garcia ◽

Esteban X. Castellanos ◽

Jorge Buele ◽

John Espinoza ◽

David Lanas ◽

...

Keyword(s):

Low Cost ◽

Pipeline System ◽

Oil Pipeline ◽

Iec 61499

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TransAlaska Pipeline System Linewide Slackline Investigations for Potential Pipe Vibrations

Volume 1: Risk Assessment and Management; Emerging Issues and Innovative Projects; Operations and Maintenance; Corrosion and Integrity Management ◽

10.1115/ipc1998-2034 ◽

1998 ◽

Author(s):

W. G. Tonkins ◽

U. J. Baskurt ◽

James D. Hart

Keyword(s):

North Slope ◽

Control Problems ◽

Pipeline System ◽

Oil Pipeline ◽

The Past ◽

The Future ◽

Vibration Problems ◽

Guidelines And Recommendations ◽

Testing And Evaluation

During the summer of 1996, the TransAlaska Pipeline System (TAPS) experienced pipe vibrations near Thompson Pass, which is located 25 miles north of the Valdez Marine Terminal (VMT). The VMT is the southern terminus of the 48-inch oil pipeline transporting Alaska North Slope Crude for further shipment to market via marine tankers. The pipeline is designed to operate in a slackline mode as it flows over the 2,810 ft. elevation of Thompson Pass. As a result of the slackline experience gained at Thompson Pass, Alyeska evaluated other areas along TAPS where continuous slackline operation either existed in the past or could exist in the future with declining pipeline throughputs. A study determined that other locations along the pipeline could operate in a continuous slackline mode and should be investigated for potential slackline operating problems. This paper describes the slackline testing and evaluation and methods developed by Alyeska to control problems caused by slackline operation. General evaluations and observations of the slackline dynamics phenomena that can cause pipe vibrations along with guidelines and recommendations for the control or elimination of slackline vibration problems are presented.

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Vibration Transmission Between Columns and Built Up Structures

Building Acoustics ◽

10.1177/1351010x9400100305 ◽

1994 ◽

Vol 1 (3) ◽

pp. 235-246

Author(s):

John A. Steel

Keyword(s):

Sound Transmission ◽

Transmission Characteristics ◽

Vibration Transmission ◽

Laboratory Models ◽

Good Agreement

Vibration transmission from columns into built up structures is studied using laboratory models. Beams attached to plates, forming built up structures, can influence transmission characteristics at these joints. Good agreement is found between measured and predicted results. The orientation of the beams effects coupling and strongest coupling is through a twisting moment applied to the beam. The effects of these changes in coupling on sound transmission between floors is discussed.

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Numerical simulation of pool fires in oil pipeline system

Advances in Safety, Reliability and Risk Management ◽

10.1201/b11433-346 ◽

2011 ◽

pp. 2435-2440

Author(s):

V Seleznev ◽

V Aleshin

Keyword(s):

Numerical Simulation ◽

Pipeline System ◽

Pool Fires ◽

Oil Pipeline

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Rank-based risk target data analysis using digital twin on oil pipeline network based on manifold learning

Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering ◽

10.1177/09544089211073241 ◽

2022 ◽

pp. 095440892110732

Author(s):

E.B. Priyanka ◽

S. Thangavel ◽

Priyanka Prabhakaran

Keyword(s):

Data Analysis ◽

Manifold Learning ◽

Clustering Algorithm ◽

Oil And Gas ◽

Pipeline System ◽

Security Risk ◽

Oil Pipeline ◽

Cloud Server ◽

Risk Rate ◽

Risk Predictor

Oil and Gas Pipeline (OGP) projects face a wide scope of wellbeing and security Risk Factors (RFs) all around the world, especially in the oil and gas delivering nations having influencing climate and unsampled data. Lacking data about the reasons for pipeline risk predictor and unstructured data about the security of the OGP prevent endeavors of moderating such dangers. This paper, subsequently, means to foster a risk analyzing framework in view of a comprehensive methodology of recognizing, dissecting and positioning the related RFs, and assessing the conceivable pipeline characteristics. Hazard Mitigation Methods (HMMs), which are the initial steps of this approach. A new methodology has been created to direct disappointment investigation of pinhole erosion in pipelines utilizing the typical pipeline risk strategy and erosion climate reenactments during a full life pattern of the pipeline. Hence in the proposed work, manifold learning with rank based clustering algorithm is incorporated with the cloud server for improved data analysis. The probability risk rate is identified from the burst pressure by clustering the normal and leak category to improve the accuracy of the prediction system experimented on the lab-scale oil pipeline system. The numerical results like auto-correlation, periodogram, Laplace transformed P-P Plot are utilized to estimate the datasets restructured by the manifold learning approach. The obtained experimental results shows that the cloud server datasets are clustered with rank prioritization to make proactive decision in faster manner by distinguishing labelled and unlabeled pressure attributes.

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