Analysis of Hot Oil Pipeline Stress Influencing Factors

2014 ◽  
Vol 887-888 ◽  
pp. 899-902
Author(s):  
Xiao Nan Wu ◽  
Shi Juan Wu ◽  
Hong Fang Lu ◽  
Jie Wan ◽  
Jia Li Liu ◽  
...  
Keyword(s):  
Crude Oil ◽  
High Viscosity ◽  
Analysis Model ◽  
Long Distance ◽  
Oil Pipeline ◽  
Software Analysis ◽  
Key Points ◽  
Temperature And Pressure ◽  
Pressure Changes ◽  
The Impact

In order to reduce the viscosity of crude oil for transport, we often use the way of heating delivery for high pour point, high wax, and high viscosity oil. Crude oil at high temperature, through long-distance transmission, the temperature and pressure changes on the piping stress greater impact. In this paper, in order to explore the main factor of hot oil pipeline stress and the location of key points, we build the XX hot oil pipeline stress analysis model used CAESAR II software, analysis of the impact of changes in temperature and pressure on piping stress when hot oil pipeline running, draw hot oil pipeline stress distribution, clearly identifies the location of key points of stress concentration, and we have come to that temperature is a major factor in generating pipe stress.

scholarly journals Safety Study on Wax Deposition in Crude Oil Pipeline

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1572
Author(s):  
Bin Yao ◽  
Deyin Zhao ◽  
Zhi Zhang ◽  
Cheng Huang
Keyword(s):  
Crude Oil ◽  
Cloud Point ◽  
Freezing Point ◽  
Development Trend ◽  
Wax Deposition ◽  
Scanning Calorimetry ◽  
Long Distance ◽  
Wax Precipitation ◽  
Oil Pipeline ◽  
Precipitation Characteristics

The Shunbei crude oil pipeline is prepared to use the unheated transportation process to transport waxy crudes. However, the wax formation in the pipeline is unknown. In order to predict the wax deposition of the pipeline, the physical property experiment of Shunbei crude oil was carried out through field sampling. The density, freezing point, hydrocarbon composition, and viscosity–temperature characteristics of crude oil are obtained. The cloud point and wax precipitation characteristics of the crude oil were obtained using the differential scanning calorimetry (DSC) thermal analysis method. Then, the wax deposition rate of the pipeline was predicted by two methods: OLGA software and wax deposition kinetic model. Finally, the optimal pigging cycle of the pipeline was calculated on this basis. The results show that: Shunbei crude oil is a light crude oil with low wax content, a low freezing point, and a high cloud point. Comparing the OLGA simulation results with the calculation results of the Huang Qiyu model, the development trend of wax deposition along the pipeline was the same under different working conditions. The relative error of the maximum wax layer thickness was 6%, proving that it is feasible for OLGA to simulate wax deposition in long-distance crude oil pipelines. Affected by the wax precipitation characteristics of Shunbei crude oil, there was a peak of wax precipitation between the pipeline section where crude oil temperature was 9.31–13.31 °C and the recommended pigging cycle at the lowest throughput was 34 days in winter and 51 days in spring and autumn.

Oil Temperature Prediction of Long-Distance Hot-Crude-Oil Pipeline Based on GA-BP Optimization

2020 ◽  
Author(s):  
Tao Yu ◽  
Peng Dong ◽  
Yang Yu ◽  
Jinzhou Song ◽  
Jie Zhang
Keyword(s):  
Prediction Model ◽  
Crude Oil ◽  
Pour Point ◽  
Theoretical Formula ◽  
Production Data ◽  
Influence Coefficient ◽  
Long Distance ◽  
Temperature Prediction ◽  
Oil Pipeline ◽  
Actual Production

Abstract Due to the high pour point of the oil products transported in the long-distance high wax crude oil pipeline, in order to ensure the operation safety, it is necessary to adopt heating transmission technology, so as to ensure that the oil temperature along the pipeline is 3–5 °C higher than the pour point, that is to say, the oil temperature is the most important operation parameter of the long-distance hot oil pipeline, and the accurate prediction and control of the oil temperature is the premise of the pipeline safety optimization. Aiming at the problems of large prediction error and poor applicability of the previous theoretical formula, this paper studies the establishment of oil temperature prediction model by using data mining algorithms such as Back Propagation (BP) neural network, and improves the prediction efficiency and accuracy of the model by using Genetic Algorithm (GA) optimization. The correlation coefficient formula is used to calculate the influence coefficient of oil temperature, ground temperature, pipeline transportation and other parameters on the inlet oil temperature of the downstream station, so as to obtain the input parameters of the model. The actual production data training model is downloaded through SCADA system, and the prediction accuracy of the control model is ±0.5 °C. Compared with BP model and other theoretical formulas, the accuracy and efficiency of GA-BP oil temperature prediction model are greatly improved, and the adaptability is better. The GA-BP oil temperature prediction model trained according to the actual production data can be effectively applied to the future pipeline big data platform, which lays a theoretical foundation for the intelligent control of the pipeline.

Expansion of the Oil Terminal in Gdańsk – Outlook and Benefits for the Oil Security of Poland

2020 ◽  
Vol 34 (34) ◽  
pp. 186-200
Author(s):  
Łukasz Wojcieszak
Keyword(s):  
Crude Oil ◽  
Lower Price ◽  
Electricity Grid ◽  
Oil Pipeline ◽  
Automation Systems ◽  
Ongoing Development ◽  
Oil Tanks ◽  
The Impact

The paper shows the role of and the outlooks for the extension of Naftoport Oil Terminal in Gdańsk, Poland as well as the impact of the ongoing development on oil import options and, as a result, on the oil security of the country. The expansion of the oil terminal in Gdańsk is an extremely important project and the largest investment of this type in Poland. Key elements of the development of the terminal are: new transshipment stations and their enhancement, new oil tanks, the construction of the second oil pipeline running to the center of Poland, the development of crude oil technological installations, electricity grid, water and foam networks, sanitary networks, roads, and automation systems. The expansion of Naftoport significantly increases Poland’s oil security as well as import capabilities of the country, ensuring continuous oil supplies to Polish refineries, often at a lower price.

Heat Transfer under a Flow of the Highly Viscous Crude Oil in a Buried Oil Pipeline

2021 ◽  
Vol 107 ◽  
pp. 122-128
Author(s):  
Aidar Kadyirov ◽  
Julia Karaeva ◽  
Ekaterina Vachagina
Keyword(s):  
Heat Transfer ◽  
Mathematical Model ◽  
Temperature Distribution ◽  
Crude Oil ◽  
Air Temperature ◽  
High Viscosity ◽  
Numerical Calculations ◽  
Oil Pipeline ◽  
Transfer Processes ◽  
The Republic

The paper presents a mathematical model and the results of numerical calculations of heat transfer processes during the flow of highly viscous crude oil in an oil pipeline. Comparison with literature data is performed. The samples of oil from the field of the Republic of Tatarstan (Russia) that are characterized by high viscosity were considered as crude oil. The influence of air temperature on the temperature distribution in the soil was investigated. The analysis of the distribution of crude oil temperature along the length of the pipeline was carried out.

scholarly journals Influence of Temperature and Pressure Change on Adiabatic and Isothermal Methanation Processes

2012 ◽  
Vol 9 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Jekaterina Porubova ◽  
Marco Klemm ◽  
Isabel Kiendl ◽  
Karlis Valters ◽  
Darja Markova ◽  
...  
Keyword(s):  
Natural Gas ◽  
Pressure Change ◽  
Theoretical Modelling ◽  
Transport Sector ◽  
Temperature And Pressure ◽  
Pressure Changes ◽  
The Impact ◽  
Different Sources ◽  
Thermodynamic Equilibrium Calculations

Abstract Energy plans of many countries anticipate an increased use of biomethane for energy supply, i.e., in power and heat production as well as in the transport sector. Existing infrastructure of natural gas storage, supply and application provides a good platform to facilitate transfer to biomethane utilization on a larger scale. One key element of the biomethane system is the upgrade of the biomass-derived synthesis gas originating from different sources, to a quality of natural gas (SNG - Synthesis Natural Gas) via the methanation process for further injection into the natural gas grid.. The maximisation of efficiency of the methanation process is of critical importance in order to make biomethane technology viable for wider application. The aim of the study was to improve efficiency of the methanation process by finding the optimum temperatures and pressure. Theoretical modelling of adiabatic and isothermal methanation processes by using thermodynamic equilibrium calculations was introduced as a method for the study. The results show the impact of temperature and pressure changes on the overall efficiency of methane production. It can be concluded from the study that knowledge about the relation between temperature, pressure and the efficiency of the methanation process makes it possible to optimize the process under various biomass synthesized gas input conditions.

Analysis on Shaft Failure of the Twin Screw Pump

2014 ◽  
Vol 526 ◽  
pp. 253-256
Author(s):  
Jian Sheng Jiang ◽  
Zhi Yong Zhao
Keyword(s):  
Crude Oil ◽  
High Viscosity ◽  
Stable Operation ◽  
Screw Pump ◽  
Oil Pipeline ◽  
Root Cause ◽  
Twin Screw ◽  
Displacement Pump ◽  
Shaft Failure ◽  
Oil Company

Screw pump as kind of displacement pump is suitable for transporting high-viscosity crude oil in a stable operation and high working efficiency. But over the past few years, one oil company has suffered from more screw pump failures which greatly impacted the normal crude oil pipeline delivery operation. Through a deep investigation into two times of shaft rupture incidents, the present paper performs a root cause analysis and provides the corresponding countermeasures.

The Correlation Analysis of the Big Data for Pipeline Defect

2017 ◽  
Author(s):  
Hewei Zhang ◽  
Shaohua Dong ◽  
Laibin Zhang
Keyword(s):  
Big Data ◽  
Correlation Analysis ◽  
Oil And Gas ◽  
Safety Management ◽  
Safety Information ◽  
Analysis Model ◽  
Long Distance ◽  
Correlation Relationship ◽  
Operation Pressure ◽  
The Impact

With the increasing of pipe diameter and operation pressure, the severity of the accident consequences has been increased, especially for the impact on the high consequence area. The safety of oil and gas pipeline is very important. At the same time, a lot of data were produced during the process and the amount of detection data signal has also reached the TB level. However, because the relationship between these data sets has not been established, most part of the “Big Data” in which the safety information of pipeline hidden was ignored and discarded. In order to effectively use the relevant pipeline data of the defects, the mutual information method was adopted to establish a correlation analysis model. Its main purpose was extracting all the factors that lead to pipeline defects from the “Big Data” and determined the crucial factors from them. A pipe segment on a long-distance pipeline with the length of 100km was taken as a case. Based on the correlation analysis model, the crucial factors which had great correlation relationship with pipeline defect were extracted, so as to provide reference to accident prevention. It is a new way of pipeline safety management.

Dynamic Analysis of Suspended River Crossing Pipeline

2014 ◽  
Vol 638-640 ◽  
pp. 51-57 ◽  
Author(s):  
Zhi Ping Ren ◽  
Chang Hua Liu ◽  
Feng Feng Bie
Keyword(s):  
Water Flow ◽  
Bending Moment ◽  
Third Party ◽  
Long Distance ◽  
Bending Deformation ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Flow Speeds ◽  
Arc Shape ◽  
The Impact

When the long-distance oil pipeline under rivers (referred to as river-crossing pipelines) are damaged by the third-party, they are prone to nudity or left vacant, and the oil pipelines under the action of water flow will cause pipeline failure; and the distance of suspended pipeline is longer than the allowed length will cause the pipeline resonance. In order to avoid pipelines fatigue or broken, suspended pipelines are considered as part of the arc shape, and non-suspended pipelines are considered as the linear shape of the mechanical model with the two ends of the fixed pier synchronous. The study will consider the impact of water flow, buoyancy, the gravity of pipelines and its annexes, bending deformation and bending moment, do the tense calculation for suspended pipelines with external load and the vibration analysis for suspended pipelines under different water flow speeds. The results showed that: the design of river-crossing suspended pipelines not only needs to consider the impact of water flow, buoyancy, the gravity of pipelines and its annexes, bending deformation and bending moment, but also to consider the floating vortex-induced vibration of the suspended pipeline, which should cause pipeline designers, constructors and maintainers’ attention.

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