A Model for Predicting the Average Hydraulic Wax Deposition Thickness of a Long-Term Unpigged Crude Pipeline

Author(s):  
Qing Miao ◽  
Baoliang Jiang ◽  
Jianghua Tao ◽  
Sen Hu ◽  
Jianjun Liu

A crude oil pipeline transporting Daqing crude in the Northeast of China had not been carried out pigging for four years. The wax deposition in it increased gradually over past four years. In this paper, from the operation data of the pipeline among the four years, the average hydraulic wax deposition thicknesses are calculated and analyzed statistically. Based on the results, the increment of the wax deposition in the long-term unpigged crude oil pipeline is concluded qualitatively and so a mathematical model for predicting the average hydraulic wax deposition thickness of such a pipeline is created. The physical meanings of the coefficients in the model are explained in the paper. Also, as an example for showing how to use this model, the statistical results on certain section of the pipeline are selected and the determination for the coefficients is introduced in detail.

Author(s):  
Qing Miao

A crude oil pipeline transporting heated Daqing crude in the Northeast of China had not carried out pigging for four years and the wax deposition in it was very serious. The existence of wax deposition layer decreased the heat loss of the crude in the pipeline during its normal running, but this did not mean it would also make the pipeline cool down slowly after the shutdown of the pipeline, that is, the wax deposition does not always benefit to the heat preservation of a long-term unpigged hot crude pipeline. So the restart safety of a long-term unpigged hot crude pipeline could not be derived directly from that of the same pipeline pigged before shutdown, even qualitatively. In this paper, study on the safety of the restart of a long-term unpigged crude pipeline is conducted based on numerical simulation and significant conclusions are drawn.


Author(s):  
Qing Miao ◽  
Jinghua Liang ◽  
Baoliang Jiang

When hot waxy crude oil is pumped into the cold pipeline, the oil temperature will decrease with time and along the pipeline. As soon as the oil temperature near the pipe wall is below the WAP (wax appearance point), the wax contained in the crude will precipitate from the crude and deposit on the inner pipe wall with liquid part entrapped in it. This phenomenon is called wax deposition of the crude oil pipeline. The formation of the wax deposition reduces the throughput of the pipeline but enhances the operation pressure of the pipeline, which brings about more consumption of the power and reduces the safety of the pipeline. More seriously, when the wax deposition layer in the pipeline grows enough thickly, the pipeline would face the danger of shutdown and the enormous loss of economy would occur. So the removal of the wax deposition layer periodically, that is, pigging is strongly needed. Periodic pigging could reduce the operation pressure of the pipeline and keep the throughput of the pipeline, which makes the pipeline avoid hidden trouble of shutdown. Although pigging could solve the problem of the wax deposition of crude oil pipeline successfully, another problem of how to determine the pigging frequency must be faced. Relative to a suitable pigging frequency (though it is difficult to determine), more often pigging could increase the operation cost and wear and tear the inner wall of the pipe but a prolonged interval of pigging may make trouble. Usual means of determining the pigging frequency of a pipeline is mainly based on the pressure drop calculation between two pump stations. From Darcy formula for calculating the pressure loss of the pipeline, the average equivalent inside diameter (say hydraulic inside diameter) of the pipeline could be obtained. Then the average wax deposition thickness in the means of hydraulics could be calculated being based on the original inside diameter of pipeline. According to the average wax deposition thickness and operation experiences, the pigging frequency could be determined. This is true if the wax deposition along the pipeline is almost identical. But in most cases, i.e. to most crude oils and pipelines, the wax deposition profile along the pipeline is not unchanged but a complex curve. In later cases, the average wax deposition thickness calculated from the pressure drop between two pump stations hydraulically exaggerates the average extent of wax deposition but ignores the severity of wax deposition at some local position of pipeline. Thus the pigging frequency determined from the pressure drop might result in more errors, that is, a more frequent pigging or one with more safety troubles. From all the above, a prediction of wax deposition in the pipeline is very necessary and important to the decision of a safe and economic pigging frequency. But due to the complexity of the problem of wax deposition, it is very difficult to predict the wax deposition of one crude oil in a pipeline theoretically. A semi-experience method based on molecular diffusion principle for predicting the wax deposition of Daqing crude oil in the Northeast Pipelines in China is developed and introduced in this paper. Using this method, the wax depositions in the Northeast Pipelines in different seasons are calculated numerically on computers. Based on the calculation results, a more rational pigging scheme aimed at the Northeast Pipelines, which considers the variation of wax deposition along the pipeline, are given.


Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1572
Author(s):  
Bin Yao ◽  
Deyin Zhao ◽  
Zhi Zhang ◽  
Cheng Huang

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.


2013 ◽  
Vol 401-403 ◽  
pp. 891-894 ◽  
Author(s):  
Qing Lin Cheng ◽  
Xu Xu Wang ◽  
Xian Li Li ◽  
Wei Sun ◽  
Ling De Meng

In waxy crude oil transportation process, wax crystals start to precipitate as the oil temperature drops to wax appearance point, and then form a network structure gradually which attaches to the wall. The problem of wax deposition seriously affects the normal operation of pipeline. Based on the wax deposition tendency coefficient method, combined with experimental data, the parameters related to wax deposition tendency coefficient is fitted, and the wax deposition rate equation of crude oil is determined finally. The variation law of wax deposition rate along the pipeline is analyzed, and the influence of different seasons and different throughput the on wax deposition rate is discussed subsequently.


2015 ◽  
Vol 33 (15-16) ◽  
pp. 1499-1507 ◽  
Author(s):  
Z. Hu ◽  
M. Wu ◽  
K. Hu ◽  
J. Liu

2021 ◽  
Vol 107 ◽  
pp. 122-128
Author(s):  
Aidar Kadyirov ◽  
Julia Karaeva ◽  
Ekaterina Vachagina

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.


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