The Effect of Temperature and Impeller Speed on Mechanically Induced Gas Flotation (IGF) Performance in Separation of Oil from Oilfield-Produced Water

Mastouri, Reza; Borghei, Seyed Mehdi; Nadim, Farhad; Roayaei, Emad

doi:10.1080/10916461003681695

Cited by 8 publications

(5 citation statements)

References 27 publications

(32 reference statements)

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“…Both methods are capable of reducing the oil concentration in the treated produced water to 15 ppm which is typical of the environmental discharge limits in many parts of the world [8] Filtration systems…”

Section: Gas Floatation Systemsmentioning

confidence: 99%

The Treatment and Disposal of Produced Water from Onshore Oilfields

Liu¹,

Jin²,

Yuan³

et al. 2013

AMM

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As the worldwide demand for crude oil and gas increases and the oilfields age, the annual production of produced water is rising dramatically. Environmental restrictions on the disposal of this waste water have become more stringent in recent years with the result that disposal costs are also raising rapidly. This paper examines the various options for the treatment of this produced water prior to its disposal together with the possible consequences of getting it wrong, such as corrosion and scaling of process piping and equipment, together with fouling of the oilfield rock formation and disposal wells.

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Section: Gas Floatation Systemsmentioning

confidence: 99%

The Treatment and Disposal of Produced Water from Onshore Oilfields

Liu¹,

Jin²,

Yuan³

et al. 2013

AMM

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“…A few studies on the effect of temperature on flotation have also been carried out. − Strickland investigated the temperature effect on oil recovery using gas flotation, obtaining higher efficiencies when working at 60 °C than at ambient conditions. Mastouri et al investigated the effect of temperature on the performance of IGF systems for the removal of oil from PW in different ranges of total dissolved solids (TDS). They obtained increased oil removal efficiencies when the temperature was raised from 20 to 80 °C at high TDS.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Combined Influence of High Pressure and High Temperature on the Removal of Crude Oil from Water during Laboratory-Scale Gas Flotation

et al. 2023

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Produced water (PW) is the major byproduct and the largest waste stream in petroleum production. Handling this water is a major issue in the oil industry. Gas flotation has proven to be an effective topside separation technology, and it is currently pursued for subsea produced water treatment. The combined effect of pressure and temperature on gas flotation has not been thoroughly investigated. In this study, we used a gas flotation rig to study the oil removal efficiency at elevated pressures and temperatures. Gas flotation experiments were performed up to 80 bar and 80 °C determining the oil removal at three different retention times. Gravity separation experiments at ambient temperature and elevated pressure conditions were used as a reference. The best oil removal was found at 80 °C in combination with high pressure. The temperature had the most significant impact on enhancing the separation, due to improved oil drop–gas bubble, gas bubble–gas bubble, and oil drop–oil drop coalescence due to the increased film thinning rates caused by lowered viscosity of the water, all leading to enhanced creaming. The pressure effect was attributed to more and smaller bubbles with increased pressures at a given temperature, increasing the available area for drop-bubble attachments. Finally, a first-order kinetic model described the gas flotation well.

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“…Furthermore, various conditions, such as impeller and stator size, design, impeller rotation speed, flow rate, and vessel capacity were considered and analyzed. Previous research analyzed the IGF performance according to the rotational speed of impeller and fluid temperature using total dissolved solids (Mastouri et al, 2010). They found that temperature changes had a more direct effect on the removal efficiency than on the impeller rotation speed.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis on performance of induced gas flotation machine using MUSIG model

Lee

Jung

Kim

2020

Engineering Applications of Computational Fluid Mechanics

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An induced gas flotation (IGF) machine is a type of water treatment equipment that separates oil droplets or particles from waste-water using the characteristics of floating air bubbles. In general, bubble movement inside an IGF is difficult to predict since the internal flow in an IGF is not linear due to vortex formation and recirculating flow. Furthermore, the actual bubbles are distributed in various sizes and it is very difficult to accurately simulate them. Therefore, the MUltiple-SIze-Group (MUSIG) method is used to correct this in the numerical analysis. The MUSIG method is to divide the bubbles into groups by size. It can predict relatively accurate bubble movements, coalescence and break-up. In this study, numerical analysis with the MUSIG model was conducted on various types of rotor blade configurations to determine water treatment. The results of void fraction, power consumption, air residence time, air mean bubble diameter, and drag coefficient were predicted and compared between the various configuration of rotor blade. Comparison of the results showed that the backward IGF rotor exhibited an increased void fraction by about 2.6 % and a decreased power number by about 37.6 % compared to the values seen using the reference model.

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The Effect of Temperature and Impeller Speed on Mechanically Induced Gas Flotation (IGF) Performance in Separation of Oil from Oilfield-Produced Water

Cited by 8 publications

References 27 publications

The Treatment and Disposal of Produced Water from Onshore Oilfields

The Treatment and Disposal of Produced Water from Onshore Oilfields

Combined Influence of High Pressure and High Temperature on the Removal of Crude Oil from Water during Laboratory-Scale Gas Flotation

Numerical analysis on performance of induced gas flotation machine using MUSIG model

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