Building inferential estimators for modeling product quality in a crude oil desalting and dehydration process

Abdul‐Wahab, Sabah A.; Elkamel, A.; Madhuranthakam, Chandra Mouli R.; Al-Otaibi, Mohammad

doi:10.1016/j.cep.2006.01.004

Cited by 26 publications

(15 citation statements)

References 9 publications

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“…Berg et al studied deformation of water droplets in an electric field in hydrocarbon liquids [1]. Abdul-Wahab et al developed simple inferential estimator to predict product quality in the crude oil desalting process [2]. In this study, temperature, settling time, mixing time, chemical dosage, and dilution rate were considered as input variables to predict water and salt removal efficiencies.…”

Section: Introductionmentioning

confidence: 98%

Modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two-stage desalting plant

Aryafard

Farsi

Rahimpour

et al. 2016

Journal of the Taiwan Institute of Chemical Engineers

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Section: Introductionmentioning

confidence: 98%

Modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two-stage desalting plant

Aryafard

Farsi

Rahimpour

et al. 2016

Journal of the Taiwan Institute of Chemical Engineers

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“…The central points, runs 9, 10, and 11, which are located in the middle of graphs in Figure 6a,c,e clearly stood off the fitting line, indicating that nonlinear effects which were also observed by Suemar et al, 40 Mahdi et al, 41 and Abdul-Wahab et al, 42 can be presented.…”

Section: Results and Discutionmentioning

confidence: 56%

Evaluation of Microwave and Conventional Heating for Electrostatic Treatment of a Water-in-Oil Model Emulsion in a Pilot Plant

et al. 2017

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The efficiency of electrostatic coalescence coupled with microwave heating in separation of water-in-oil (W/O) model emulsions was evaluated. A series of experiments were performed in a continuous pilot plant where a W/O emulsion can be treated by application of electric field, microwave heating, conventional heating, or a combination of these techniques. The separation efficiencies in the two process configurations were evaluated by measuring the water content of treated model emulsion. The combination of electrocoalescence and microwave showed better separation results, in comparison to conventional heating combination with electrocoalescence. The influence of four operational variables on the water contents of the treated emulsions were studied: salt concentration, flow rate, the electric field between electrodes, and water cut at the inlet were evaluated. It was observed that a lower flow rate (higher residence time) helped in reducing the final water content and that a higher salt content resulted in worse separation efficiency. The microwave heating showed to be an attractive alternative to conventional heating, particularly when the electrocoalescer is under operational stress.

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“…Treatment of saline water present in emulsified form (desalting) is a sophisticated process as it depends on various factors such as the concentration of demulsifying agents, wash water, concentration of salt in water, rate of mixing with wash water [2], temperature and rate of dilution [10]. Several researchers [5,7,10,11] have studied the effect of these factors on desalting efficiency. Aryafard et al [12] simulated the process using a single stage desalting process in which a demulsifier is added to the raw crude oil stream at the beginning.…”

Section: Introductionmentioning

confidence: 99%

“…57 lµ o −2 a −5 l 0 = (1.613x −1/3 − 2) a E[0 0.1−3 kV/cm], x[0.02−0.08], a[1−100 µm]Increase in operational variables promotes desaltingAbdul-Wahab et al[10] …”

mentioning

confidence: 99%

Numerical Study of Electrostatic Desalting Process Based on Droplet Collision Time

et al. 2021

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The desalting process of an electrostatic desalting unit was studied using the collision time of two droplets in a water-in-oil (W/O) emulsion based on force balance. Initially, the model was solved numerically to perform a process analysis and to indicate the effect of the main process parameters, such as electric field strength, water content, temperature (through oil viscosity) and droplet size on the collision time or frequency of collision between a pair of droplets. In decreasing order of importance on the reduction of collision time and consequently on the efficiency of desalting separation, the following variables can be classified such as moisture content, electrostatic field strength, oil viscosity and droplet size. After this analysis, a computational fluid dynamics (CFD) model of a biphasic water–oil flow was developed in steady state using a Eulerian multiphase framework, in which collision frequency and probability of coalescence of droplets were assumed. This study provides some insights into the heterogeneity of a desalination plant which highlights aspects of design performance. This study further emphasizes the importance of two variables as moisture content and intensity of electrostatic field for dehydrated desalination by comparing the simulation with the electrostatic field against the same simulation without its presence. The overall objective of this study is therefore to show the necessity of including complex phenomena such as the frequency of collisions and coalescence in a CFD model for better understanding and optimization of the desalting process from both process safety and improvement.

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Building inferential estimators for modeling product quality in a crude oil desalting and dehydration process

Cited by 26 publications

References 9 publications

Modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two-stage desalting plant

Modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two-stage desalting plant

Evaluation of Microwave and Conventional Heating for Electrostatic Treatment of a Water-in-Oil Model Emulsion in a Pilot Plant

Numerical Study of Electrostatic Desalting Process Based on Droplet Collision Time

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