Wax Deposition Modeling with Considerations of Non-Newtonian Characteristics: Application on Field-Scale Pipeline

Zheng, Sheng; Saidoun, Mohamed; Palermo, Thierry; Mateen, Khalid; Fogler, H. Scott

doi:10.1021/acs.energyfuels.7b00504

Cited by 69 publications

(49 citation statements)

References 34 publications

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“…Different approaches have been used by flow assurance engineers to model wax deposition profiles inside pipelines . Recent studies have also reported experimental and modelling results for the cold flow regime ( T h < WAT) .…”

Section: Introductionmentioning

confidence: 99%

Deposition from waxy mixtures in a flow‐loop apparatus under turbulent conditions: Investigating the effect of suspended wax crystals in cold flow regime

2019

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The effect of suspended wax crystals in wax-solvent mixtures on the solid deposition process in the cold flow regime was investigated experimentally and analyzed with a steady-state heat transfer model. A bench-scale flow-loop apparatus, incorporating a concentric-cylinder heat exchanger, was used to measure solid deposition, in the cold flow and hot flow regimes, from wax-solvent mixtures under turbulent flow conditions. The deposition experiments were performed with two wax-solvent mixtures, at two flow rates, with two coolant temperatures, at 8 wax-solvent mixture temperatures, and for several deposition times. The role of wax crystals on the deposition process was investigated by repeating some of the deposition experiments with a pre-filtered wax-solvent mixture. In all experiments, the deposit was formed rapidly such that a thermal steady-state was attained within 30 min. The deposit mass increased with decreasing the mixture temperature in the hot flow regime, reached a maximum as the mixture temperature became equal to the WAT, and then decreased linearly to zero in the cold flow regime as the mixture temperature approached the coolant temperature. Also, the deposit mass decreased with an increase in the Reynolds number and the coolant temperature. The data and predictions confirmed the solid deposition to be a thermally-driven process. The experimental deposit mass results in the cold flow regime, supported by model predictions, were identical for the unfiltered and filtered mixtures, which showed that the suspended wax crystals do not affect the deposit mass or thickness.

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Section: Introductionmentioning

confidence: 99%

Deposition from waxy mixtures in a flow‐loop apparatus under turbulent conditions: Investigating the effect of suspended wax crystals in cold flow regime

2019

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“…The wax component in crude oil will bring a series of problems to the production and transportation of crude oil (Huang Z al., 2011;Azevedo L F A al., 2003;Xiao R G al., 2018). In order to find countermeasures, accurate acquisition of wax deposition rate model has become an important part of wax deposition research Zheng S al., 2017;José P al., 2015). However, the models of wax deposition rate are all nonlinear models, which are usually complex and difficult to obtain model parameters, which greatly restricts the engineering application and development of the models.…”

Section: Introductionmentioning

confidence: 99%

Study on Wax Deposition Rate Optimization Algorithm Based on Levenberg-Marquardt Algorithm and Global Optimization

Rong-ge¹,

Zhu²,

Jin³

et al. 2019

Frontiers in Heat and Mass Transfer

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In order to accurately obtain the wax deposition rate model, according to the kinetic principle of wax deposition, several factors affecting the wax deposition rate were selected, and by a optimization software of First Optimization(1stOpt), The parameters of two typical wax deposition rate models are solved respectively based on optimization algorithm combined by Levenberg-Marquardt (L-M) algorithm and global optimization and the calculated data were compared. The results show that: compared with the model parameters obtained by least squares method, the model parameters obtained by this optimization algorithm can describe the variation of wax deposition rate more accurately. The maximum error is reduced from 30% to 10%, and the average error is reduced from 10.3% to 2.42%; Alike, the mathematical model obtained by this optimization algorithm is also better than that solved by L-M algorithm alone. The maximum error is reduced from 13.62% to 11%, and the average error is reduced from 6.46% to 4.77%. To a certain extent, this optimization algorithm avoids the premature phenomenon caused by using Levenberg-Marquardt alone. In addition, the use of the optimization algorithm does not require suitable initial values, prior knowledge and programming, easy to use, and has important use value.

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“…With regard to the process and mechanism of wax deposition in the tube, scholars generally believed that molecular diffusion is the main mechanism of wax deposition. Through a large number of experimental and theoretical studies, many valuable wax deposition models have been established by scholars (Huang Q Y, et al, 2008;Zheng et al, 2017;Noville et al, 2012;Singh et al, 2011;Amine et al, 2008;Sadra et al, 2014;Brown et al, 1993;Eskin et al, 2014). In the process of establishing the wax deposition model, the determination of temperature gradient and concentration gradient is very important.…”

Section: Introductionmentioning

confidence: 99%

The Study on Calculation Method of Temperature Distribution of Tested Tube for Wax Deposition Experimental Loop

Rong-ge¹,

Jin²,

Tian³

et al. 2018

Frontiers in Heat and Mass Transfer

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The loop experiment device plays an important role in the study of wax deposition, and the calculation of the temperature distribution of the test section is the key to establish the wax deposition model. In the conditions of the wax deposition was not formed and constant wall temperature of the tube, the energy balance equation is solved by using separation of variables and combining the Kummer equation (S-K method), the distribution law of temperature in the test section is obtained, and the solution results was compared with Svendsen method, the difference between the results obtained by the two methods and the experimental results is also analyzed. The results showed that, the temperature distribution of the test section is consistent with the two methods, and the computing result of Svendsen method is generally higher than the S-K method. Under different axial distances for the take value, the maximum difference of computing results between the two methods is large when the position is farther away from the entrance, and the maximum difference is 0.27℃. Under different radial distances for the take value, with the increase of the axial distance, the difference between the results obtained by the two methods increases gradually in general, and the greater the radial distance, the greater the difference, the maximum difference is 0.27 ℃, thus the calculation results of these two kinds of methods have a higher coincide degree. The results obtained by the two methods are higher than the experimental results, but the difference is small, the results obtained by the S-K method are closer to the experimental results, and this method can avoid solve the numerical integration (Svendsen method) and the inconvenience of Bessel function, so it has a certain advantages.

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Wax Deposition Modeling with Considerations of Non-Newtonian Characteristics: Application on Field-Scale Pipeline

Cited by 69 publications

References 34 publications

Deposition from waxy mixtures in a flow‐loop apparatus under turbulent conditions: Investigating the effect of suspended wax crystals in cold flow regime

Deposition from waxy mixtures in a flow‐loop apparatus under turbulent conditions: Investigating the effect of suspended wax crystals in cold flow regime

Study on Wax Deposition Rate Optimization Algorithm Based on Levenberg-Marquardt Algorithm and Global Optimization

The Study on Calculation Method of Temperature Distribution of Tested Tube for Wax Deposition Experimental Loop

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