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.

Research on Closed-Loop Safety Production System of Hot Oil Pipeline Based on Big Data Mining

2019 ◽  
Author(s):  
Yu Tao ◽  
Li Chuanxian ◽  
Liu Lijun ◽  
Chen Hongjun ◽  
Guo Peng ◽  
...  
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Big Data ◽  
Prediction Model ◽  
Bp Neural Network ◽  
Closed Loop ◽  
Long Distance ◽  
Oil Pipeline ◽  
Big Data Mining ◽  
Actual Production

Abstract The process of long-distance hot oil pipeline is complicated, and its safety and optimization are contradictory. In actual production and operation, the theoretical calculation model of oil temperature along the pipeline has some problems, such as large error and complex application. This research relies on actual production data and uses big data mining algorithms such as BP neural network, ARMA, seq2seq to establish oil temperature prediction model. The prediction result is less than 0.5 C, which solves the problem of accurate prediction of dynamic oil temperature during pipeline operation. Combined with pigging, the friction prediction model of standard pipeline section is established by BP neural network, and then the economic pigging period of 80 days is given; and after the friction database is established, the historical friction data are analyzed by using the Gauss formula, and 95% of the friction is set as the threshold data to effectively monitor the variation of the friction due to the long period of waxing in pipelines. The closed loop operation system of hot oil pipeline safety and optimization was formed to guide the daily process adjustment and production arrangement of pipeline with energy saving up to 92.4%. The prediction model and research results based on production big data have good adaptability and generalization, which lays a foundation for future intelligent control of pipelines.

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.

Effect of drag reducer and pour point depressant on the wax deposition of crude oil pipeline

2017 ◽  
Vol 35 (12) ◽  
pp. 1277-1284 ◽  
Author(s):  
Danfu Cao ◽  
Chuanxian Li ◽  
Fei Yang ◽  
Hao Li
Keyword(s):  
Crude Oil ◽  
Pour Point ◽  
Wax Deposition ◽  
Pour Point Depressant ◽  
Oil Pipeline ◽  
Point Depressant

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 Analysis of the main parameters of crude oil pipeline transport

2020 ◽  
Vol 74 (2) ◽  
pp. 79-90
Author(s):  
Jasna Tolmac ◽  
Slavica Prvulovic ◽  
Marija Nedic ◽  
Dragisa Tolmac
Keyword(s):  
Heat Transfer ◽  
Heat Transfer Coefficient ◽  
Crude Oil ◽  
Transfer Coefficient ◽  
Cooling Rate ◽  
Pour Point ◽  
Operating Conditions ◽  
Pipeline Transport ◽  
Oil Pipeline ◽  
The Heat Transfer Coefficient

The paper presents results of experimental research and simulation of the main parameters of crude oil pipeline transport. In Serbia, 70 % of the produced oil belongs to a paraffin type, of which over 25 % has a high content of paraffin. High-content paraffin oil usually has a high pour point. The paraffin content in crude oil from Vojvodina, Serbia, is in the range 7.5 to 26 %, and the oil pour temperature varies from 18 to 36?C. The imported crude oil has a flow point max. 8?C. Homogenization, i.e. mixing of domestic and imported crude oil, improves the transport properties and decreases the pour point. After homogenization, the crude oil is pre-heated, and then transported by a pipeline to the refinery for further processing. Heating induces modification of crude oil physical properties, especially flow properties so to prevent wax formation within the oil pipeline. The aim of this paper was to determine operating parameters and flow characteristics for a particular oil pipeline (428 mm inner diameter, 91,000 m length) under real operating conditions. By heating in the range of 20 - 50?C, the viscosity of crude oil was reduced, approaching the viscosity of water. The pipeline is isolated (100 mm thick isolation) and buried into in the ground (1 m depth). It is found that the heat transfer coefficient has a dominant influence on the cooling rate of the oil in the pipeline. The heat transfer coefficient is mainly determined by the isolation thickness so that it was determined as 0.60 W m-2 K-1 for + 100 mm thickness, while it was 2.20 W m-2 K-1 for the non-isolated pipeline. Heat losses through the main pipeline ranged from 36 - 110 kJ m-1 h-1 (10 - 30 W m-1). The difference between the starting and the ending temperature of crude oil ranged from 10 to 12?C. Such a decrease of ?t = 10 oC and, consequently, the increase in viscosity induced a noti-ceable increase in the pressure drop and pump power by 3 to 4 %, at the maximum flowrate of 0.194 m3 s-1 (700 m3 h-1). The cooling rate during transportation under stationary thermal and hydraulic conditions is in the range 0.52 ? 0.5 oC h-1. In the case of domestic oil (Vojvodina, Serbia) transport, the downtime should not exceed 24 h, since stopping and cooling of the oil would result in formation of solid paraffin particles followed by oil gelation.

Application of Nano-Material Based Hybrid Pour-Point Depressant for Long-Distance Waxy Crude Pipeline

2012 ◽  
Author(s):  
Dongmin Zhang ◽  
Lixin Zhang ◽  
Lianfeng Huo ◽  
Shujie Zhi ◽  
Xin Ouyang ◽  
...  
Keyword(s):  
Crude Oil ◽  
Pour Point ◽  
Treatment Temperature ◽  
Pour Point Depressant ◽  
Long Distance ◽  
Waxy Crude ◽  
Point Depressant ◽  
Nano Material ◽  
New Type ◽  
Wax Appearance Temperature

A new type of nano-material based hybrid pour-point depressant with significant efficiency has been developed and successfully used in industrial application. For Daqing crude oil, a typical high waxy Chinese crude, with 80–100g/t new pour-point depressant and 58–65°C thermal treatment temperature, the wax appearance temperature of the Daqing crude oil can be decreased by 3–4°C. The viscosity/pour-point reduction, shearing resistance, and fluidity at low temperature of the modified crude with new type of pour-point depressant is much better than the effect of using traditional ethylene-vinyl acetate (hereinafter referred as “EVA”). Therefore the safe shutdown time for a pipeline is dramatically increased which not only enhances the safety of the pipeline operation but also significantly saves the energy consumption of the pipeline company. Besides, the reheating temperature can only be greatly reduced to 35°C. The relationship between the crystal structure of the nano-material based pour-point depressant and the type of the waxy crude, together with its influence on the crystal form/wax appearance temperature of the waxy crude by using X ray diffraction (hereinafter referred as “XRD”) and Polarizing microscope (hereinafter referred as “POM”)are studied.

Pour Point Depressant(PPD) and Flow Improver Additives (FIA) of Crude Oil and its Study Method Progress

2012 ◽  
Vol 524-527 ◽  
pp. 1844-1847 ◽  
Author(s):  
Hong Zhang ◽  
Wen Fa Xiao
Keyword(s):  
Low Temperature ◽  
Crude Oil ◽  
Pour Point ◽  
Pour Point Depressant ◽  
Waxy Crude Oil ◽  
Long Distance ◽  
Great Resistance ◽  
Waxy Crude ◽  
Point Depressant ◽  
Flow Improver

The situation of low temperature crude oil pipeline carrying is universal. The rapid developing of pipe line supposes higher asking on new carrying technology. The problem of long distance carrying at normal temperature of high waxy crude oil is impel to resolve and its potential social economic profit is obvious. As the pipeline is designed at high production period of field so there must have low carrying situation at beginning and ending time. At the situation the high waxy crude oil and high pour point crude oil will face on great resistance and blockage problem. Further more the pipeline has to make great energy expense on high temperature carrying. So take new carrying technology to realize atmosphere temperature carrying is crucial of resolving low temperature carrying. The method of adding chemical pour point depressant(PPD)/flow improver additives (FIA) into crude oil directly was widely used at present. The progress of the additives and its study methods was summarized in the paper and supply some reference for the technology of PPD/FIA.

Thermal Characteristics Simulation of the Commissioning Process for New Buried Heated Oil Pipelines

2011 ◽  
Vol 301-303 ◽  
pp. 610-616 ◽  
Author(s):  
Guo Qun Chen ◽  
Ming Hua Zhao ◽  
Bo Xu
Keyword(s):  
Temperature Field ◽  
Crude Oil ◽  
Thermal Characteristics ◽  
Hot Water ◽  
Waxy Crude Oil ◽  
Long Distance ◽  
Warm Up ◽  
Oil Pipeline ◽  
Heated Oil ◽  
Oil Pipelines

For a new buried heated oil pipeline, the temperature field of the surrounded soil is natural. Therefore the temperature is usually low in this case. For the waxy crude oil whose pour point is higher than the ground temperature, if the new pipeline transports such oil directly after heating, crude oil may gel in pipeline because its temperature decrease dramatically due to heat exchange between the fluid and the surrounded soil. Hence, in practical situation hot water is often used to warm up the pipelines for most of the new long-distance buried pipelines. Crude oil transportation is determined after the soil temperature field around the pipeline is sufficiently high and the inlet water temperature meets the requirement.

Optimizing the Steady Operation of an Double Oil Pipeline System by Decompostion Method

2004 ◽  
Author(s):  
Changchun Wu ◽  
Guotai Shao
Keyword(s):  
Crude Oil ◽  
Programming Problem ◽  
Large Scale ◽  
Optimization Problem ◽  
Petroleum Industry ◽  
Pipeline System ◽  
Long Distance ◽  
Oil Pipeline ◽  
Discharge Temperature ◽  
Decision Variables

As a main channel for long distance transportation of Daqing crude oil, Daqing-Tieling oil pipeline system consists of two pipelines in parallel. With its capacity of 45 million tons per year, the system is the largest oil pipeline system in China and plays an important role in the petroleum industry and national economy of China. Due to the complicated interconnection between the two pipelines in the system, the optimization of steady operation of the system is much more difficult than a single pipeline so that it can be considered as an optimization problem on large scale system. Besides the interconnection of the two pipelines, because of high pour point of Daqing crude oil, another difficulty to solve the problem comes from the fact that the two pipelines are hot oil pipeline, of which the heating-pumping stations are equipped with some heaters to heat the crude oil so as to improve its flow ability. For the optimization problem, the basic decision variables can be divided into two types, the discharge temperature of each heating-pumping station and the 0–1 variable which assigns a pump online or offline, and they are dependent to each other. Under certain conditions, the problem can be decomposed into two relatively independent sub-problems, one being the optimization of the oil temperatures in the system, another being the optimization of the matching between a pump combination and the all pipe segments of the system. The first sub-problem has been modeled as a nonlinear programming problem with 55 decision variables and more than one hundred constraints. For simplifying the solving process of the sub-problem, it has been further decomposed into a set of sub-problems, again, each of which can be easily solved. The second sub-problem can be modeled as a dynamic programming problem. On the basis of the models and the algorithms proposed for the above-mentioned problem, a software QTOPT has been developed specially for the Daqing-Tieling oil pipeline system, and has been used in evaluating and optimizing the process design of the system. Also the software can be used to optimize the steady operation of the system.

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