Experimental Verification of Flow-Induced Vibration Fatigue of a Flexible Tube Array With and Without Strakes

2016 ◽  
Author(s):  
Michael Tognarelli ◽  
Himanshu Gupta ◽  
Alexia Aubault ◽  
Dominique Roddier
Keyword(s):  
Oil And Gas ◽  
Dynamic Performance ◽  
Computing Time ◽  
Oil And Gas Industry ◽  
Complex Problem ◽  
Practical Significance ◽  
Physical Model Test ◽  
Flow Induced Vibration ◽  
Field Station ◽  
Vibration Fatigue

The flow-induced vibration fatigue of an array of tubes is a complex problem of practical significance in the offshore oil and gas industry. Simple analytical tools for analyzing isolated tubes lack the capability of directly addressing the array problem, so they require some sort of calibration if they are to be used for this application. Computational fluid dynamics (CFD) and coupled computational fluid-structure interaction programs can also be utilized to address the problem in more detail, but at a significant cost in computing time. In either case, understanding of the phenomena is limited, and relatively little relevant data are available to verify the accuracy of these programs for this application. This paper documents a physical model test performed at the University of California-Berkeley Richmond Field Station Tow Basin with the following objectives: to improve confidence in the understanding of the dynamic performance and fatigue demand on both bare and straked tubes in an arrayed configuration; to estimate the influence of an external super-structure (e.g., the truss section of a floating truss spar platform) on the vibrations of the tubes in the array; and, to generate data for verification or calibration of state-of-the-art or emerging analysis tools. The findings provide new, useful information on both the fatigue of tubes in complex configurations and the effectiveness of suppression devices in these scenarios for fatigue mitigation.

Russian Scanners for Eddy Current Testing of Drilling Pipe Elements in the Oil and Gas Industry

NDT World ◽  
2020 ◽  
pp. 5-8
Author(s):  
Aleksandr Kazachenko
Keyword(s):  
Control Charts ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Complex Problem ◽  
Point Of View ◽  
Destructive Testing ◽  
Gas Industry ◽  
Shewhart Control ◽  
Inspection Process ◽  
Composite Pipes

Composite materials appear to be an ideal solution to a complex problem with conflicting conditions: how to simultaneously obtain sufficient strength, reliability and durability of the structure, while providing the minimum possible mass of it. However, non-destructive testing of products from them raises more and more questions. In the mass production of composite pipes for pipelines, the only possible option from the point of view of ensuring the necessary reliability, information capacity of the results of the performed inspection of products and productivity is the automation of the inspection process, which includes special methods for identifying defects. Statistical methods, including capability ratio and Shewhart control charts, should be used to estimate the error in determining the size of defects.

Potential Galloping Motions of Piggyback Pipeline Geometries in Strong Currents

2012 ◽  
Author(s):  
Adeshina Elegbede ◽  
Ove T. Gudmestad
Keyword(s):  
Oil And Gas ◽  
Angle Of Attack ◽  
Oil And Gas Industry ◽  
Electrical Heating ◽  
Equivalent Diameter ◽  
Flow Induced Vibration ◽  
Gas Industry ◽  
Offshore Installations ◽  
Offshore Oil And Gas ◽  
Offshore Oil

Piggyback configurations of pipelines, such as a Direct Electrical Heating (DEH) cable mounted on production flowlines, are becoming a common occurrence in the offshore oil and gas industry and they have been observed to excite into a type of flow-induced vibration called galloping in the presence of strong currents at free span locations. This work was aimed at studying potential flow induced galloping vibrations of piggyback type of pipelines commonly used on offshore installations in the oil and gas industry. Tests were carried out in a 12m long, 0.7m wide and 1.2m deep current flume tank located at the NTNU/SINTEF Hydrodynamic Laboratory in Trondheim, Norway. The tank has a test rig with cylinders suspended horizontally on a set of springs mounted on it. Reduced velocities were ranging from 4 to 15, depending on the equivalent diameter of the piggyback pair. In this experimental work, the effects of different diameter ratios and the angle of attack of the flow on the cylinders arranged normal to the flow were investigated. Three different diameter ratio cases were investigated: D+0.5D, D+0.32D and D+0.25D. Attack angles 0°, 30°, 60°, 90°, 120°, 150° and 180° were tested for these 3 diameter ratios giving a total of 21 test cases. The results obtained show that, for all cases of diameters ratios, high response amplitude ratios, as high as 1.7, can occur at reduced velocities less than 10 when the angle of attack is at 90°. It was also observed that vibrations that are characteristic of galloping instabilities occurred at an attack angle of 180° for the D+0.5D and the D+0.32D configurations. For the D+0.25D case, the response amplitudes were similar to a VIV situation. Comparing the response of the different diameter ratios show that the largest pipeline to piggyback ratio gives the largest responses for all attack angles.

Incorporation of Physics into Machine Learning for Production Prediction from Unconventional Reservoirs: A Brief Review of the Gray-Box Approach

2021 ◽  
pp. 1-12
Author(s):  
Hui-Hai Liu ◽  
Jilin Zhang ◽  
Feng Liang ◽  
Cenk Temizel ◽  
Mustafa A. Basri ◽  
...  
Keyword(s):  
Machine Learning ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Complex Problem ◽  
Unconventional Reservoirs ◽  
Future Research ◽  
Gas Industry ◽  
Well Production ◽  
Determination Of Parameters ◽  
Production Prediction

Summary Prediction of well production from unconventional reservoirs is often a complex problem with an incomplete understanding of physics and a considerable amount of data. The most effective way for dealing with it is to use the gray-box approach that combines the strengths of physics-based models and machine learning (ML) used for dealing with certain components of the prediction where physical understanding is poor or difficult. However, the development of methodologies for the incorporation of physics into ML is still in its infancy, not only in the oil and gas industry, but also in other scientific and engineering communities, including the physics community. To set the stage for further advancing the use of combining physics-based models with ML for predicting well production, in this paper we present a brief review of the current developments in this area in the industry, including ML representation of numerical simulation results, determination of parameters for decline curve analysis (DCA) models with ML, physics-informed ML (PIML) that provides an efficient and gridless method for solving differential equations and for discovering governing equations from observations, and physics-constrained ML (PCML) that directly embeds a physics-based model into a neural network. The advantages and potential limitations of the methods are discussed. The future research directions in this area include, but are not limited to, further developing and refining methodologies, including algorithm development, to directly embed physics-based models into ML; exploring the usefulness of PIML for reservoir simulations; and adapting the new developments of how the physics and ML are incorporated in other communities to the well-production prediction. Finally, the methodologies we discuss in the paper can be generally applied to conventional reservoirs as well, although the focus here is on unconventional reservoirs.

scholarly journals Measuring system for liquid level determination based on linear electro-optical effect of liquid crystal

2018 ◽  
Vol 226 ◽  
pp. 02005
Author(s):  
Olga Denisova
Keyword(s):  
Liquid Crystal ◽  
Liquid Crystals ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Liquid Level ◽  
Measuring System ◽  
Light Transmittance ◽  
Practical Significance ◽  
Liquid Media ◽  
Optical Cell

This article describes an updated system for measuring and controlling the level of liquid media. Well-known capacitance method for determining the liquid level is modernised. The new scheme proposes the use of electro-optical cell with a nematic liquid crystal. Homeotropically oriented liquid crystal is sandwiched between two plates, one of which is glass, and the other – crystal – cadmium sulfide CdS photoconductor. liquid crystal cell serves as an indicator. Its light transmittance depends on the applied voltage. Cell is designed so that the dependence of the phase delay of the voltage is linear. The article describes a mathematical model showing linear dependence, confirmed experimentally. Application of linear electrooptic effect observed in liquid crystals, allows to improve the accuracy and speed of measurement of liquid media, as the liquid crystal is an anisotropic medium more sensitive than solid crystals. The relaxation time of the orientation effects in liquid crystals is ~10-6 s. From the point of view of practical significance, this method will be of interest for application in the fuel and energy complex, in particular, oil and gas industry for the commercial accounting of petroleum products.

scholarly journals 4.2. Corruption risk management tools in the oil and gas industry

2021 ◽  
pp. 60-65
Author(s):  
О.В. Кадесникова ◽  
Т.И. Сабиров
Keyword(s):  
Risk Management ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Practical Significance ◽  
Management Tools ◽  
Gas Industry ◽  
Oil And Gas Enterprises

В процессе исследования рассмотрены теоретико-методические основы управления коррупционными рисками, а также изучены практические аспекты совершенствования инструментария управления коррупционными рисками на предприятиях нефтяной и газовой промышленности. В результате исследования разработан алгоритм оценки коррупционных рисков на предприятии нефтегазовой отрасли. Практическая значимость заключается в том, что реализация предложенного инструментария управления коррупционными рисками на предприятиях нефтяной и газовой промышленности позволит составить карту коррупционных рисков и сформировать набор индикаторов оценки коррупционных рисков, идентифицируемых на предприятиях нефтегазовой отрасли, с целью разработки мероприятий по минимизации коррупционных рисков наиболее эффективным образом. In the course of the study, the theoretical and methodological foundations of corruption risk management were considered, as well as the practical aspects of improving the tools for managing corruption risks at oil and gas enterprises. As a result of the study, an algorithm for assessing corruption risks at an oil and gas company was developed. The practical significance lies in the fact that the implementation of the proposed corruption risk management toolkit at oil and gas industry enterprises will make it possible to map corruption risks and form a set of indicators for assessing corruption risks identified at oil and gas enterprises in order to develop measures to minimize corruption risks in the most effective way.

Dynamic Failure Probability Evaluation of Subsea High Integrity Pressure Protection System by Bayesian Networks

2021 ◽  
Author(s):  
Chuan Wang ◽  
Jun Gou ◽  
Chao Yu ◽  
Yupeng Liu ◽  
Jianjun Luo ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Dynamic Performance ◽  
Great Influence ◽  
Electric Power Industry ◽  
Oil And Gas Industry ◽  
Detection Methods ◽  
Gas Industry ◽  
Design Life ◽  
Probability Evaluation ◽  
High Integrity

Abstract Safety instrument system is composed of sensor, logic solver and final actuator. It is widely used in process industry, such as oil and gas industry, chemical industry, metallurgy and electric power industry. It is an important measure to ensure the safety of production, which can effectively avoid the potential danger to people, equipment and the environment. However, when it breaks down, the consequences can be expected to be extremely serious. Therefore, HIPPS requires low risk, so it is necessary to quantitatively evaluate the dynamic performance of HIPPS to ensure the high safety of HIPPS during the design life cycle. In this paper, a Bayesian network based method is proposed to evaluate the dynamic performance of HIPPS. The effects of different detection methods and maintenance methods on the dynamic performance of HIPPS were analyzed quantitatively. The results show that the performance of the system has been improved obviously after maintenance. Compared with the traditional method, the performance of HIPPS is improved by introducing partial stroke test. The sensitivity analysis shows that the failure rate has a great influence on the risk of HIPPS valve. Increased coverage of PST may improve the performance of HIPPS.

scholarly journals Fully turbulent discrete adjoint solver for non-ideal compressible flow applications

2017 ◽  
Vol 1 ◽  
pp. Z1FVOI ◽  
Author(s):  
Salvatore Vitale ◽  
Tim A. Albring ◽  
Matteo Pini ◽  
Nicolas R. Gauger ◽  
Piero Colonna
Keyword(s):  
Oil And Gas ◽  
Automatic Differentiation ◽  
Fluid Dynamic ◽  
Dynamic Performance ◽  
Oil And Gas Industry ◽  
Ideal Gas ◽  
Working Fluid ◽  
Viscous Effects ◽  
Two Phase ◽  
Flow Equations

Abstract Non-Ideal Compressible Fluid-Dynamics (NICFD) has recently been established as a sector of fluid mechanics dealing with the flows of dense vapors, supercritical fluids, and two-phase fluids, whose properties significantly depart from those of the ideal gas. The flow through an Organic Rankine Cycle (ORC) turbine is an exemplary application, as stators often operate in the supersonic and transonic regime, and are affected by NICFD effects. Other applications are turbomachinery using supercritical CO2 as working fluid or other fluids typical of the oil and gas industry, and components of air conditioning and refrigeration systems. Due to the comparably lower level of experience in the design of this fluid machinery, and the lack of experimental information on NICFD flows, the design of the main components of these processes (i.e., turbomachinery and nozzles) may benefit from adjoint-based automated fluid-dynamic shape optimization. Hence, this work is related to the development and testing of a fully-turbulent adjoint method capable of treating NICFD flows. The method was implemented within the SU2 open-source software infrastructure. The adjoint solver was obtained by linearizing the discretized flow equations and the fluid thermodynamic models by means of advanced Automatic Differentiation (AD) techniques. The new adjoint solver was tested on exemplary turbomachinery cases. Results demonstrate the method effectiveness in improving simulated fluid-dynamic performance, and underline the importance of accurately modeling non-ideal thermodynamic and viscous effects when optimizing internal flows influenced by NICFD phenomena.

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