Analyses of the Process Control and Technical Scheme of Urumchi—Lanzhou Multi-Products Pipeline

2008 ◽  
Author(s):  
Jing Gong ◽  
Qiang Zhang
Keyword(s):  
Process Control ◽  
Temperature Drop ◽  
Long Distance ◽  
Economic Operation ◽  
Handling Methods ◽  
Products Pipeline ◽  
Pipeline Safety ◽  
Optimal Control Methods ◽  
Product Pipeline ◽  
Methods Of Control

The Urumchi—Lanzhou multi-product Pipeline (China western multi-product pipeline, CWPP) is characterized by long distance, multi-delivery points, severe undulating terrain and high-required running conditions. According to technical characteristics and automation level of the stations, the various running states are analyzed, and the process control principles and accident handling methods are also identified. Based on the terrain and sequencing of the transportation process, the pipeline shutdown principles and methods are determined. Calculation methods of the shutdown pressure are proposed considering the temperature drop caused by shutdown. The dynamic optimal control methods of control valves at pressure-reducing stations are also presented considering that multi-product pipeline through the different points with a large drop height can be analyzed by lots of different control modes. Based on the analyses of operating parameters, it indicates that the application of control principles and methods offers guarantee for the pipeline safety and economic operation.

scholarly journals Study on Asymmetry Concentration of Mixed Oil in Products Pipeline

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6398
Author(s):  
Yi Wang ◽  
Baoying Wang ◽  
Yang Liu ◽  
Yongtu Liang
Keyword(s):  
Energy Consumption ◽  
Concentration Curve ◽  
Adsorption Coefficient ◽  
Long Distance ◽  
Estimation Errors ◽  
Mean Velocity ◽  
Adsorption Effect ◽  
The Asymmetry ◽  
Products Pipeline ◽  
Mixed Oil

Long-distance pipelines transporting multiple product oils such as gasoline, diesel and jet fuel, are important facilities for transporting fossil energy. One major concern in operation is the energy consumption of the pipeline. Energy consumption should be made optimized tracking batches of oils and cutting mixed oil, which requires an accurate prediction of concentration curve. In engineering, the concentration curve is usually assumed to be symmetric, but it is actually asymmetric, which may lead to estimation errors. Thus, the asymmetric concentration of mixed oil should be studied. The formation mechanism of the asymmetry of concentration curve has not been clearly clarified. A new method is proposed to measure the asymmetry of the concentration curve. Quantitative analysis is carried out for each factor on the asymmetry distribution of concentration curve. Based on the convection–diffusion equation, a modified oil-mixing model considering near wall adsorption effect is established. The model shows a good agreement with the Jablonski empirical formula. The error, compared with the experimental results, is less than 5%. The main findings are: (1) deviation volume has a negative correlation with pipe diameter and mean velocity; (2) adsorption coefficient has a greater impact on the length ratio of front and tail oil than diffusion coefficient; (3) the influence of all factors considered on the total length of mixed oil, front oil, tail oil and trail oil are basically the same; (4) if the limit of adsorption concentration in adsorption layer is 1, the reasonable value of adsorption coefficient a and b should be around 0.4. The results reveal the mechanism of asymmetric concentration of product oils and can provide practical suggestions to deal with the mixed oil.

The Deformation Detection Method for the Buried Pipeline Based on Distributed Fiber Optic Sensor

2013 ◽  
Vol 330 ◽  
pp. 444-449 ◽  
Author(s):  
Ke Qin Ding ◽  
Li Qi Yi ◽  
Cai Fu Qian
Keyword(s):  
Fiber Optic ◽  
Detection Method ◽  
Fiber Optic Sensor ◽  
Buried Pipeline ◽  
Long Distance ◽  
Optic Sensor ◽  
Distributed Fiber Optic Sensor ◽  
Measured Strain ◽  
Fbg Sensors ◽  
Pipeline Safety

The deformation of the long-distance pipeline often happen due to the Soil collapse, gulch and the settlement of the foundation etc. The large deformation is easy to cause the fracture of the long-distance pipeline. Hence, the deformation detection is of very important to the pipeline safety. In this paper, a method for deformation calculation of the long-distance pipeline is presented based on the relation expression brtween the deformation and the strain of the long-distance pipelien. Through the measured strain, the deformation is easy to be calculated. The strains can be obtained through the FBG sensors or distributed fiber optic sensors. The deformation detection method proposed in the papaer provides the basis of the long-distance pipeline risk management.

Optimization of Pipe Insulation Volume for a Subsea Production System

2018 ◽  
Author(s):  
Cheng Hong ◽  
Yuxi Wang ◽  
Jiankun Yang ◽  
Segen F. Estefen ◽  
Marcelo Igor Lourenço Souza
Keyword(s):  
Thermal Management ◽  
Optimization Model ◽  
Production System ◽  
Temperature Drop ◽  
Oil Field ◽  
Insulation Material ◽  
Long Distance ◽  
Insulation Coating ◽  
Material Volume ◽  
Subsea Production System

The increasing of deepwater oil field developments brings a growing need for thermal management to prevent hydrate and wax formations in the subsea production system, due to the low environment temperature and long distance transportation. Pipeline insulation coating is a typical strategy for thermal management. In a subsea production system, pressure, temperature, flow rate and length of each flowline vary, leading to a different thermal performance of the fluid inside. Therefore, the insulation coating should be carefully designed from the overall perspective to minimize the total material volume, thus reducing the cost. In this paper, an optimization model for the insulation material volume of a wellhead-manifold-FPSO production system is proposed. Then, the best insulation thickness of each sub-sea flowline can be determined under given flow parameters and temperature requirements. The factor that defines the temperature drop from riser base to the top termination is introduced and analyzed. There is a proper temperature drop factor associated with the insulation material volume for subsea flowlines, as well as a proper insulation capacity for the risers. This optimization model can define the subsea system insulation and provide reliable results for cost estimation.

scholarly journals Analysis and Comparison of Long-Distance Pipeline Failures

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Lianshuang Dai ◽  
Dongpo Wang ◽  
Ting Wang ◽  
Qingshan Feng ◽  
Xinqi Yang
Keyword(s):  
Oil And Gas ◽  
The United States ◽  
Management Effectiveness ◽  
Long Distance ◽  
Integrity Assessment ◽  
Safety Technology ◽  
Pipeline Management ◽  
The Uk ◽  
Pipeline Failures ◽  
Pipeline Safety

The analysis results of long-distance oil and gas pipeline failures are important for the industry and can be the basis of risk analysis, integrity assessment, and management improvement for pipeline operators. Through analysis and comparison of the statistical results of the United States, Europe, the UK, and PetroChina in pipeline failure frequencies, causes, consequences, similarities, and differences of pipeline management, focusing points and management effectiveness are given. Suggestions on long-distance pipeline safety technology and management in China are proposed.

scholarly journals Optimal economic operation of liquid petroleum products pipeline systems

AIChE Journal ◽  
2021 ◽  
Author(s):  
Elena Khlebnikova ◽  
Kaarthik Sundar ◽  
Anatoly Zlotnik ◽  
Russell Bent ◽  
Mary Ewers ◽  
...  
Keyword(s):  
Petroleum Products ◽  
Economic Operation ◽  
Pipeline Systems ◽  
Products Pipeline

Optimization of Pipe Insulation Volume for a Subsea Production System

2020 ◽  
Vol 142 (4) ◽  
Author(s):  
Cheng Hong ◽  
Yuxi Wang ◽  
Jiankun Yang ◽  
Segen F. Estefen ◽  
Marcelo Igor Lourenço
Keyword(s):  
Thermal Management ◽  
Optimization Model ◽  
Production System ◽  
Temperature Drop ◽  
Oil Field ◽  
Insulation Material ◽  
Long Distance ◽  
Insulation Coating ◽  
Material Volume ◽  
Subsea Production System

Abstract The increasing of deepwater oil field developments brings a growing need for thermal management to prevent hydrate and wax formations in the subsea production system, due to the low environment temperature and long-distance transportation. Pipeline insulation coating is a typical strategy for thermal management. In a subsea production system, pressure, temperature, flowrate, and length of each flowline vary, leading to different thermal performances of the transported fluid. Therefore, the insulation coating should be carefully designed from the overall perspective to minimize the total material volume, thus reducing the cost. In this paper, an optimization model for the insulation material volume of a rigid subsea flowline system is proposed. Then, the best insulation thickness of each subsea flowline can be determined under given flow parameters and temperature requirements. The factor that defines the temperature drop from the riser base to the top termination is introduced and analyzed. There is a proper temperature drop factor associated with the insulation material volume for subsea flowlines, as well as a proper insulation capacity for the risers. This optimization model can define the subsea system insulation and provide reliable results for cost estimation.

Research on Contamination Caused by the Topographical Difference in Batch Transportation

2004 ◽  
Author(s):  
Jing Gong ◽  
Zhengling Kang ◽  
Dafan Yan
Keyword(s):  
Reynolds Number ◽  
Turbulent Flow ◽  
Critical Reynolds Number ◽  
Mixing Model ◽  
Long Distance ◽  
Height Difference ◽  
Axial Dispersion Coefficient ◽  
Topographical Difference ◽  
Products Pipeline ◽  
Contamination Concentration

This paper presents the mixing model for illuminating the influence of density, viscosity and the topographical height difference on the interfacial product-mixing in pipeline, in which a new virtual axial dispersion coefficient related with contamination concentration and its gradient was utilized. With the simplification of the Reynolds number of the mixture unvaried with the concentration, contamination concentration distribution relevant to density difference and gravitation acceleration etc was developed. When the Reynolds number of the mixture was a function of concentration, the mixing model was solved numerically by Crank-Nicholson implicit difference scheme. Analysis indicated that the effect of inclination angle on contamination decreases gradually with the increase of the distance traveled by the interface and the contamination Reynolds number. Particularly, the degree of effect became invisible when pipeline is in completely turbulent flow, and the Reynolds number is greater than the critical Reynolds number defined by Austin and Palfrey while the pipeline was considerably long. In the undulate long-distance multi-products pipeline, contamination due to topographical height difference can be ignored in turbulent flow while the Reynolds number is greater than critical Reynolds number.

Integrated Scheduling for a Multi-Product Pipeline Network With Delivery Due Dates

2018 ◽  
Author(s):  
Ning Xu ◽  
Qi Liao ◽  
Yongtu Liang ◽  
Zhengbing Li ◽  
Haoran Zhang
Keyword(s):  
Time Horizon ◽  
Large Scale ◽  
Mixed Integer ◽  
Market Demand ◽  
Due Dates ◽  
Long Distance ◽  
Decomposition Approach ◽  
Pipeline Network ◽  
Integrated Scheduling ◽  
Product Pipeline

Currently, pipeline is the most effective way to transport large-volume products over long distance. To effectively satisfy market demands for multiple refined products by delivery due dates, the multi-product pipeline network usually transports several refined products in sequence from refineries to certain destinations. The integrated scheduling of multi-product pipeline network, including inventory management, transport routes planning, batch sequence, batch volume, et al., is one of the most strategic problems due to its large-scale, complexity as well as economic significance. This subject has been widely studied during the last decade. However, most researches focus on large-size scheduling models whose computational efficiency greatly decreases for a complex pipeline network or a long time horizon. Aiming at this problem, the paper develops an efficient decomposition approach, which is composed of two mixed integer linear programming (MILP) models. The first model divides the entire time horizon into several intervals according to delivery due dates and optimizes the transport routes and total transport volume during each interval with considering market demand, production campaigns and inventory limits. Then the solved results are used by the second model which sets the objective function as the membership function based on fuzzy delivery due dates. Besides, a series of operational constraints are also considered in the second model to obtain the optimal batch sequence, batch volume, delivery volume and delivery time in each node. Finally, the proposed approach is applied to a Chinese real-world pipeline network that includes 5 complex multi-product pipelines associated with 6 refineries and 2 depots. The results demonstrate that the proposed approach can provide a guideline for long-term pipeline network scheduling with delivery due dates.

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