Accepted Manuscript Influence of alkali-surfactant-polymer flooding on the coalescence and sedimentation of oil/water emulsion in gravity separation Javed A. Khan, Hussain H. Al-Kayiem, Waqas Aleem, Ahmed B. Saad PII:
S0920-4105(18)30923-9
DOI:
https://doi.org/10.1016/j.petrol.2018.10.055
Reference:
PETROL 5418
To appear in:
Journal of Petroleum Science and Engineering
Received Date: 24 May 2018 Revised Date:
15 October 2018
Accepted Date: 16 October 2018
Please cite this article as: Khan, J.A., Al-Kayiem, H.H., Aleem, W., Saad, A.B., Influence of alkalisurfactant-polymer flooding on the coalescence and sedimentation of oil/water emulsion in gravity separation, Journal of Petroleum Science and Engineering (2018), doi: https://doi.org/10.1016/ j.petrol.2018.10.055. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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Graphical abstract
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Experimental measurement demonstrated the need for new prediction model when the oil/water emulsion is flooded with ASP additives for EOR. The graphs show a comparison with experimental results which illustrate the accuracy of the developed model to estimate the coalescence and sedimentation.
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Influence of Alkali-Surfactant-Polymer Flooding on the Coalescence
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and Sedimentation of Oil/Water Emulsion in Gravity Separation
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Javed A. Khan1, Hussain H. Al-Kayiem1*, Waqas Aleem2 and Ahmed B. Saad1
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Centre of Research in Enhanced Oil Recovery (COREOR), Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Malaysia.
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Department of Chemical Engineering, Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Malaysia.
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*Corresponding email address:
[email protected] Abstract:
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The emulsification and stabilization of the residual chemical within the recovered oil pose
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difficulties in the primary separation process. This study emphasis on the effectiveness of ASP
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injection on coalescence and sedimentation of oil and aqueous phases. In addition, the present
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work is focused at modifying an existing oil/water separation prediction model applicable in the
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presence of ASP fluids, as the existing model is applicable only to oil/water emulsion.
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Experimental and empirical techniques have been adopted as a methodology for investigating
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this work. The modification of the existing model for the prediction of the separation as well as
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the interaction effect of the parameters were explored. The influence of ASP on separation time
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in oil-water emulsion were explored in terms of sedimentation and coalescence profiles.
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Empirical expressions were generated from the batch experiments to find the coalescence and
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sedimentation constants for various alkali/surfactant/polymer concentrations. The outcomes of
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the study show that the presence of various ASP concentrations in the oil-water emulsions
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resulted in a variation in the required separation time. The results also show that alkali in the
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500-1500 ppm range has the most significant negative impact on sedimentation. The effect of
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alkali in reducing sedimentation increases very significantly with surfactant interaction (200 –
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600 ppm). While the polymer in the range of 400 to 800 ppm and alkali significantly reduced
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coalescence, as well as the interaction of alkali-surfactant and surfactant-polymer, also
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contributed significantly to reducing coalescence.
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Keywords: Alkali-Surfactant-Polymer Flooding; Batch Separation; Coalescence; Dispersion;
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Oil/Water Emulsion; Sedimentation
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1.
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The crude oil produced from the reservoir usually contained a complex mixture of formation
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water and hydrocarbons. These mixtures of multiple components flow from the reservoir to the
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primary separator through the casing perforations, the production tubes and the chokes where
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high shear is introduced into the produced mixture, as shown in Fig. 1. During the flow from
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these areas, multiple types of fluids are mixed under high shear; and in particular, the water
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phase begins to disperse in the oil phase and form a stable emulsion (Kokal, 2005). There are
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various factors affect separation, such as mixing intensity, physical properties of components, oil
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and water phases ratio (Nadiv et al., 1995; Aleem et al., 2015; Jeelani and Hartland, 1998).
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Another stabilizing factor is the chemical EOR which is mainly performed to improve the
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production of oil, chemicals such as ASP are injected into the reservoir.
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Fig. 1. Formation of emulsion during production of crude oil (Kokal, 2008)
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INTRODUCTION
A design study of the separator was carried to separate the alkali/surfactant/polymer
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produced emulsions with coalescence plates (Zhang et al., 2007). The requirement of oil
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production industries is to separate oil-water proficiently with minimal entrainment to handle a
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high volume of crude oil. The basic approach is to examine batch tests because of their
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simplicity. It can also decrease the cost if the data acquired from small batch tests can be utilized
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for scale up reasons. To decrease scaling costs, the researchers proposed linking the batch
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investigation to the dynamic operation of the gravity separator (Madhu et al., 2007).
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Experimental studies associated with the separation of fluids in the light of the dispersion
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technique are reported in the literature (Mungma et al., 2013 and Noïk et al., 2013). The
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separation of crude oil emulsions with improved gravity settling is considered a basic facilitating
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the evaluation of the interface. The evolution of the coalescence is recorded by the quantity of
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settled water-phase and by the increase of the size of the drops in the upper layer of the emulsion
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(Krebs et al., 2012). Recently, a survey showed that the presence of multiple emulsions increases
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sedimentation but does not speed up the phase separation process as a whole (Hohl et al., 2017).
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After the flooding of the chemicals, there is a breakthrough in the primary separator that causes
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the stabilization of the water in oil emulsion (Khan et al., 2015).
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Emulsion formation with chemical flooding is a recognized problem on the facility side
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because it stabilizes the emulsion (Dalmazzone et al., 2012). Alkalis play a significant role in
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ASP floods (Olajire, 2014). Alkali is injected to create micro-emulsion to upsurge stability due to
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electrostatic and steric effects. Alkali also starts reaction with the acidic constituents present in
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the crude oil and form soap which results in the reduction of interfacial tension. Then, this also
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reduces the surfactant absorption in the formation; alkali has been considered as an emulsifying
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agent in ASP floods that lead to a stable emulsion (Li et al., 2005; Wang et al., 2012). Although,
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for oils with low acid number, the interaction of surfactant with strong alkali, such as NaOH,
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reduced the interfacial tension (Guo et al., 2017; Guo et al., 2017). The presence of strong alkali
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is more problematic on separation as compared to weak alkali (Guo et al., 2017).
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With the presence of bound molecules (surfactant) at the oil and water interface hampers
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the process of coalescence of the droplets. Thus, the coalescence profile depends on the size
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distribution of the droplets and the amount of surfactant adsorption on the oil and water interface.
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The bound molecules can affect all the mechanisms of the sedimentation process and, therefore,
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provide major insight into the destabilization of the emulsion (Abeynaike et al., 2012). Thus,
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surfactant with a high concentration in the main slug is performed as it has a significant role in
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the displacement of oil from the reservoir (Huang et al., 2017). A study shows that with the
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upsurge in the dispersed phase of the oil in water emulsion with the surfactant results in the
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increase in the energy destruction rate significantly as a result of an increase in the emulsion
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viscosity (Pal, 2014). The reason why the surfactant stabilizes the emulsion: at a higher
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concentration of surfactant, the solubilization of water and oil and in type III form to increase oil
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recovery (Hirasaki et al., 2010). Although the higher concentration of surfactant injection is necessary. Whereas, it must
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be noticed that at a higher concentration of surfactant results to stopover the effectiveness from
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the normal. Past studies have found that if the concentration of surfactant is significantly high,
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this leads to an increase in the pressure gradient and this will be in the opposite of the direction
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(Apaydin and Kovscek, 2001). Shupe, 1978 studied that anionic surfactants stabilize the
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emulsion for a numerous of crude oils at reservoirs conditions, though, not so stable and
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effective at high alkali concentration. Surfactants impact may vary depending on the condition
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and alkali which can cause the production of surfactant in-situ are cause of more concern
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(Argillier et al., 2014; Delamaide, 2015). Polymer has been used in large scale as compared to
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surfactant and is normally necessary even in surfactant based process thus its effect on
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production process has been studied (Zhu et al., 2012; Zheng et al., 2011). Due to polymer the
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viscosity of the emulsion increases, which considerably affects the separation performance of
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induced gals floatation units and hydro cyclones (Zheng et al., 2011; Argillier et al., 2014). A
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debate is in progress to decide the conclusion of the polymer on the stability of the emulsion
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(Koh, 2015; Seright, 2017).
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The current problem of the stabilization of emulsions concerns surface facilities, mainly
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because of crude separation problems, such as design of the gravity separator and the choice of
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demulsifier (Kokal and Wingrove, 2000). Further research is required on the mechanism of
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emulsion, which can express the information for the improvement of demulsifiers (Zhang et al.,
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2017). A study found the effect of the molecular weight of polymers and reservoir permeability
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assessed the performance of each molecular weight for specific reservoir permeability (Huang et
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al., 2017). An evaluation of the EOR was also performed to correlate the properties of the
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reservoir with the gradual recovery of oil with chemicals floods and another study in which the
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correlation of EOR chemicals on stability of produced emulsion at low water cut has been
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studied (Wong et al., 2015; Al-Kayiem and Khan, 2017). The present study investigates the
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impact of ASP and interactions of each additive on the sedimentation and coalescence of high
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water cut emulsion produced in the separator.
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Literature review demonstrating that coalescence and sedimentation separation profiles of
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liquid-liquid phases are performed without taking into account the impact of ASP (Jeelani and
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Hartland, 1998; Hartland and Jeelani, 1988). Coalescence of droplets is the rupturing/thinning a
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films of fluid among a couple of drops and the consequent combination of the drops. In this case
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of coalescence, total separation of the crude emulsion occurs in two separate phases (Tadros,
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2009). The phenomena of coalescence govern by many steps (Sztukowski and Yarranton, 2005;
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Frising et al., 2006). Initially the drops approach to the nearby molecular dimensions and
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followed by dimpling and distortion to create a plane interface among the droplets which
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outcomes during the continuous phase drainage to from the plane region, and forming a thin
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film. Then, the bridging among the droplets is almost quickly start and irreversible combination
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to form single drop. The phenomena of coalescence are dependent on the interaction rate of the
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droplets as well as the surface properties of the droplets (Binks and Horozov, 2006).
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Sedimentation and creaming happen autonomously from the interactions of droplets and the
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drops
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Sedimentation/creaming generally occurs due to external forces, for example, gravitational and
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centrifugal forces because of the differences in the densities between each phases. On account of
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water in oil emulsion, droplets of water settle to the bottom then, in the case of an oil in water
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emulsion, lighter drops of oil begin to cremate at the top (Tadros, 2009). The creaming /
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sedimentation formation can be suppressed by decreasing the density dissimilarity of each phase,
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by decreasing the size of the droplet or by continuously thickening the phase (Farn, 2008). An
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attempt has been made to modify these existing model to accurately measure the separation time.
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The modification was made to the sedimentation and coalescence profiles by taking different
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mixing time and mixing intensity (Aleem and Mellon, 2016). In addition, studies on the
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separation of oil in water emulsions are less numerous than those on the separation of water in
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oil emulsion (Feng et al., 2008). Recently, a separation prediction model has been explored to
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express the separation mechanism of oil in water emulsions taking into account the coalescence
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and creaming processes. However, the model was devolved based on batch separation of
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kerosene and distilled water (Aleem and Mellon, 2018).
in
the
emulsion
remains
same
(Binks
and
Horozov,
2006).
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ASP additives play a significant role in the crude emulsion stabilization process, but the
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impact of ASP additives on separation prediction profiles have not been emphasized. The
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objective of this research is to present the modification of the coalescence and sedimentation 5
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profiles in the existing model (Jeelani and Hartland, 1998; Hartland and Jeelani, 1988). In
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addition, the interaction of each additive on sedimentation and coalescence in terms of separation
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performance have been analyzed and presented. As well as to identify the influence of the ASP
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on the separation of oil/water in the primary separator. The modification is based on
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experimental measurements that were made to study the impact of ASP injection on an oil-in-
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water emulsion. Experimental research was focused on the 60% water cut emulsion flooded by
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various ASP compositions. The measurements were made using a laser light transmission and
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backscattering from the emulsion. The coalescence and sedimentation heights have been
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measured at various time intervals up to 24 hours. In addition, experimental results were
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compared with an existing and modified models. By comparing experimental and model profiles,
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coalescence and sedimentation constants have been obtained, which correspond to the model
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data. Then, a new correlation was developed by combining all the data, which makes it possible
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to evaluate the constants for coalescence and sedimentation profile measurement.
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2.
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Turbiscan test was conducted to inspect the stability of the oil/water/ASP emulsion, and then the
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measured coalescence and sedimentation separation profiles are compared with the existing
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separation prediction model. A statistical method is carried out to find the coalescence and
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sedimentation constant for various ASP concentrations. The steps of the study are as follows.
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2.1
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The measurement of the stability of emulsion is a main test that is initiated with crude emulsion.
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It describes the capacity with which oil and water phases separates in the produced emulsion.
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The most used method by far is the bottle test. This test is performed using the laser light in the
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Turbiscan to determine stability. The scattered light in this equipment can accurately calculates
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the amount of disperse phase deposition. In the literature, studies on the stabilization of emulsion
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was carried out with transmission and backscattering of laser light through emulsion samples
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(Khan et al., 2015; Jing et al., 2016).
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2.1.1
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The material required for the emulsion are crude oil, reservoir brine, alkali, surfactant and
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polymer. ASP is being used in some Malaysian fields for Enhanced Oil Recovery purpose. In the
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Materials
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combination of ASP, a weak alkali, Sodium-Carbonate (Na2CO3) is being used as it has
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significant effect in the recovery of crude production and it has less effect on corrosion in the
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production lines as compared to strong alkali. The surfactant used in this combination of ASP is
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Anionic Alpha Olefin Sulfonate (AOS). The polymer used in the combination of ASP is anionic
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hydrolyzed polyacrylamide. The amount of ASP was calculated from the chemical breakthrough
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in the primary separator. ASP used in the experiment included alkaline, Na2CO3, 5%–15%, An
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ionic surfactant, AOS, 20%–40% and an anionic hydrolyzed polyacrylamide polymer, GLP 100,
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60%–70%.
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2.1.2
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The emulsion sample was produced by mixing brine (60%) with an alkali, a surfactant and a
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polymer and tremendously mixed with oil (40%) at high shear with a disperser rotating at 12,000
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rpm for 2 minutes. It has been calculated that the shear provided to produce an emulsion in the
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laboratory is identical to the shear energy experienced by the produced emulsion in the reservoir.
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2.1.3
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The Turbiscan was used to notice the stability of emulsion. It consists of a scanning device
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composed of a source of laser. This equipment can accurately compute the separated oil and
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water phases when it is difficult to observe the clarity of water and oil phase. The phase
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separation rate is achieved by calculating the amount of light transmittance in the emulsion. The
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measuring procedure is shown schematically in Fig. 2. It shows the Turbiscan measurement
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principle of for coalescence and sedimentation in an emulsion sample.
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Fig. 2. Measuring principle of Turbiscan
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2.2
Separation Profile Prediction Model
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A model has been developed in the past for predicting the separation profiles of oil-water in
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gravity separator (Jeelani and Hartland, 1998). The authors divided the sedimentation and
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coalescence interfaces into two sections each (Jeelani and Hartland, 1998). One before the
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inflection point 0
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developed by Jeelani and Hartland is only valid for pure oil and water system (Aleem and
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Mellon, 2018; Frising et al., 2006). To use the model developed by the Jeelani and Hartland for
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the ASP containing system, the model is modified and correction factors are introduced to
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incorporate the effect of ASP on the separation profile. The separation experiments performed in
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this study are used to test the accuracy of the modified model developed and the model of Jeelani
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and Hartland. The equations of the modified model for the calculation of the separation profiles
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in terms of coalescence and sedimentation are mentioned in the following section.
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2.2.1
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The height of coalescence with time before the inflection point can be predicted using the
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following equation.
. The model
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Coalescence Height/Profile
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ℎ =
−
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1−
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The height of coalescence at the final time
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the point of inflection in the profile is calculated by the following equation: 1−!
+ !" #ℎ
&
%$Sedimentation Height/Profile
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when complete sedimentation occurs
' 2
2.2.2
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The sedimentation height/profile need to be calculated in two different intervals: 0 < t < ti
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and
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the following equation:
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ℎ) =
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−
2
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) 0
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Where V0 and Vi are the velocity of sedimentation of the droplets, initially and the velocity of
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sedimentation of the droplets at ti respectively. The change in height of the sedimentation profile
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after the inflection point, t > ti is calculated by equation (4) as modified in this study. ℎ) =
1−!
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− &1 − !, 'Δℎ
) &
%$' 4
Constant Estimation Procedure
2.2.3
217
In this procedure, a response surface method is applied to evaluate three different chemical
218
additives that influence coalescence and sedimentation phenomena in the emulsion. In order to
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perform an analysis of the experimental data, regression is carried out with response surface
220
method. This methodology was also adopted by Al-Kayiem and Khan, 2017. The second order
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polynomial used in this fitting is governed by following equation, 5;
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2
2
34
34
2 4
2
. = / + 0 / 1 + 0 / 1 + 0 0 / 5 1 15 5 *
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Where, Y represents the response output, Xi and Xj denotes independent variable. The regression
223
coefficient for the intercept term, linear tem, quadratic and the interaction term are βo, βi, βii,
224
and βij, respectively.
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2.2.4
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By introducing all the terms, the coalescence constant, (Kc) and the sedimentation constant (Ks)
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of an emulsion produced with ASP fluids can be calculated using Equations (6 and 7). The R2
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values of 0.89 and 0.86 shows a good fitting. By substituting the coefficients of main and
229
grouped parameters in Equation (5) we get the following equations:
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Prediction expressions for coalescence and sedimentation constants
+ ( A − 1000 ) * (( A − 1000 ) * 0 .0000001 ) − ( A − 1000 ) * (( S − 400 ) * 0 .0000003 ) − ( S − 400 ) * (( S − 400 ) * 0 .0000003 ) + ( A − 1000 ) * (( P − 600 ) * 0 .0000003 ) +
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(6)
( S − 400 ) * (( P − 600 ) * ( 0 .00000057 ) + ( P − 600 ) * (( P − 600 ) * ( 0 .0000008 ) K S = 0 .89 + 0 .00077 A + 0 .0014 S − 0 .00022 P
− ( A − 1000 ) * (( A − 1000 ) * 0 .0000005 ) + ( A − 1000 ) * (( S − 400 ) * 0 .0000055 ) + ( S − 400 ) * (( S − 400 ) * 0 .00000066 ) + ( A − 1000 ) * (( P − 600 ) * 0 .0000008 ) −
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( S − 400 ) * (( P − 600 ) * ( 0 .0000045 ) − ( P − 600 ) * (( P − 600 ) * ( 0 .00000025 )
With the above prediction expressions, the alkali-polymer (AP) term showed statistically
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significant responses to increase the coalescence constant. The interaction term of the surfactant-
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polymer (SP), the surfactant (S) alone and the square term of the alkali has an intermediate
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significance for increasing the coalescence constant. The interaction of the alkali-surfactant (AS)
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and the presence of the polymer (P) alone showed significant responses to reduce the coalescence
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constant. The term alkali-surfactant (AS) has shown highly significant responses to increase the
238
sedimentation constant. The presence of alkaline (A) and surfactant (S) terms alone also has a
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significant response to increase the sedimentation constant.
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3.
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The experiments have been carried out by taking into account the influence of various
242
compositions of ASP on the separation profiles. The heights of the coalescence and the
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RESULTS AND DISCUSSION
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sedimentation of the oil-in-water emulsion (60% water cut) were calculated as a function of time
244
(0-24 hours) at 60o C.
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3.1
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Fig. 3 (a-b) demonstrates the kinetics of separation obtained by laser scanning at various
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concentrations of alkali and at the fixed concentrations of surfactant-polymer. The measurements
248
are made at a particular period to notice sedimentation and coalescence. The results of the
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sample scan show the reduction of light transmission over the sample height with the increase of
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the alkali concentration, as shown in Fig. 3 (b). The height of sedimentation is 22 mm at low
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alkali concentration, while the sedimentation height is reduced to 12.5 mm at 1500 ppm of alkali
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at 24 hours, as shown in Fig. 3 (a-b).
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Determination of sedimentation and coalescence heights
At low alkali concentration, around 34% of the light transmitted from the water phase, while
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about 31% of the light transmission is observed at a higher concentration of alkali. The separated
255
water therefore contained more oil droplets. Light transmission from the samples shows that 83%
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water is separated at a low alkali concentration, while 38% water separation occurs at a high
257
alkali concentration at 24 hours. The increase in water separation at low alkali clarifies that the
258
unresolved emulsion in the mid-section of sample is unstable. The lack of stability in the
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emulsion at low concentration of weak alkali was also confirmed with back scattering
260
measurements that indicates a significant decrease in the backscattering i.e. 42% to 27% at 0
261
second and 5 minute, respectively. Although, at high alkali concentration, the backscattering
262
percentage is marginally reduced, from 33% to 31% at 0 second and 4 minutes, respectively.
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Therefore, the height of the residual emulsion is low at low alkali concentration with respect to a
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high alkali concentration which are respectively 20 mm and 37 mm at 24 hours.
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Fig. 3. Measurement of ASP produced emulsion separation with light transmission and back-
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scattering (a) A = 500 ppm, S = 600 ppm, P = 800 ppm (b) A = 1500 ppm, S = 600 ppm, P = 800
271
ppm.
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Fig. 4 shows the coalescence and sedimentation profiles of actual data obtained from laser
273
scanning measurements and results from the model. The results of the present study show a
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significant stabilization of the high water cut emulsion. The stability of the emulsions and residual
275
emulsions increases with high water cuts (Wong et al., 2018). The sedimentation profiles show a
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significant difference, whereas the coalescence is slightly change in the presented case of the
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emulsion produced by ASP. The fit in the model is done with the constants and new separation
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profiles are obtained, which also show the same amount of residual emulsion as found in the
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experimental measurements [see Fig. 4 (b)].
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Fig. 4. Comparison of the experimental measured coalescence and sedimentation profiles with
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the existing model and the modified model. ASP concentrations: A =1500 ppm, S = 600 ppm, P
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= 800 ppm
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Fig. 5 shows the comparison of the sedimentation heights measured from the emulsion in
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the presence of ASP with the past model and modified model. The ASP concentrations injected
286
into this emulsion sample are the lowest concentrations of alkali, surfactant and polymer.
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However, there is a significant difference between experimentally measured sedimentation
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heights and previous model. The comparison of the sedimentation height with the modified
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model and the experimental measured showed a good agreement.
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Experimental Data Jeelani & Hotland Model Proposed Model
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Time, sec
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Fig. 5: Comparison of the experimental measured coalescence and sedimentation profiles with
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the existing model and the modified model. ASP concentrations: A = 500 ppm, S = 200 ppm, P =
293
400 ppm
In this section, the concentration of ASP is increased to identify the difference in
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coalescence and sedimentation height between the experimental measurements and the past
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model. Fig. 6 shows the comparison of the sedimentation heights measured from the emulsion in
297
the presence of ASP with the past model and the modified model at an increased concentration of
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ASP. The ASP concentrations injected into this emulsion sample are high concentrations of
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alkali, surfactant and polymer. Surprisingly, there is a significant difference between
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sedimentation and coalescence heights measured experimentally and in the past model.
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Sedimentation and coalescence constants are introduced into the model to predict actual
302
separation. Comparison of sedimentation and coalescence heights with a modified model and
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experimental measurements showed good agreement.
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Time, sec
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Fig. 6: Comparison of the experimental measured coalescence and sedimentation profile with the
306
existing model and the modified model. ASP concentrations: A = 1000 ppm, S = 600 ppm, P =
307
600 ppm
As there are inconsistent differences in sedimentation and coalescence heights measured
309
at different concentrations of ASP additives. Therefore, various ranges of ASP depending on the
310
design of the experiment were used to prepare the emulsion and to obtain sequential variation
311
and sensitivity of the emulsion at a specific additive. Table 1 shows the input parameters to find
312
the coalescence and sedimentation constants for the modification of the analytical model. A
313
statistical analysis was performed to determine the significance of each factor contributing to the
314
variation of the separation profiles. Correlations were also obtained from the batch experiments
315
to find the coalescence and sedimentation constants for various alkali/surfactant/polymer
316
concentrations.
317
3.2
318
The experiments were performed by taking into account the effect of various concentrations of
319
ASP on the separation profiles. The coalescence and sedimentation heights of the oil-in-water
320
emulsion (60 % water cut) were measured at 60oC. A statistical analysis was performed to
321
determine the significance of each factor contributing to the variation of separation profiles.
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Determination of the input parameters of the separation profiles
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Correlations were also obtained from the batch experiments to find the coalescence and
323
sedimentation constants for various alkali/surfactant/polymer compositions. The effect of various
324
ASP concentrations on the coalescence and sedimentation constants is presented in Table 1. A
325
statistical analysis was performed to determine the significance of each factor contributing to the
326
variation of separation profiles. Correlations were also obtained from the batch experiments to
327
find the coalescence and sedimentation constants for various ASP compositions.
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Table 1. Definitions and levels of ASP and experimental responses of constants
328
1000
Coalescence constant, Kc 1.04 0.86 1.06 1.02 1.03 1.02 0.97 1.01 0.96 0.96 0.87 0.96 0.99 0.93 0.97
Sedimentation constant, Ks 1.80 1.70 1.28 1.15 1.15 2.06 3.53 3.02 2.00 2.03 1.91 2.43 2.44 1.82 1.97
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Surfactant ppm 200 200 600 600 400 200 600 400 400 400 200 200 600 600 400
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Alkali ppm
Experimental Responses
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Input Parameters
3.3
Fitting the model and validation
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The value of coefficient of determination (0.89) indicates that the proposed model is satisfactory
331
for finding the influence of the ASP on the coalescence and sedimentation of the emulsion as
332
shown in Fig. 7. Therefore, the fitting with second-order polynomial model has proved effective
333
in describing experimental responses. The model shows an agreement of the actual and predicted
334
data with high significance (P-value 0.026). Small P-values defines the significance of the
335
parameter or correlation.
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(a)
338 339 340
(b) Fig. 7. Actual and predicted plot (fit of the data) (a) RMSE = 0.03, R2 = 0.89 and P-Value = 0.026
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(b) RMSE = 0.3667, R2 = 0.86 and P-Value = 0.047
The validity of the model was assessed on the base of adjustments summary as shown in
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Table 2. The values of determination coefficients are 0.89 and 0.86, representing a similarity
344
between model prediction and experimental data. The probabilities of the generated correlation
345
are significant (Prob.>F = 0.026 and 0.047). Thus, the proposed design of experimental method
346
has given sufficiently accurate correlation. To determine the difference between the prediction
347
and the actual data, the standard error was estimated.
348 349 17
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Table 2. Prediction model validation parameters (Adjustment summary) Source
coalescence constant
Sedimentation constant
R Square
0.89
0.86
R Square Adj.
0.73
0.66
Prob. > F
0.026
0.047
Root Mean Square Error
0.03
Mean of Response
0.97
Observations (or Sum Wgts.)
15
0.36 2
15
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3.4
Interaction effect of ASP on coalescence and sedimentation constants
353
The combined effect of various ASP compositions on coalescence and sedimentation constants is
354
shown in Figs. 8 and 9. The predicted profiles represent the variation of the constants as a
355
function of the alkali, surfactant and polymer. The surfactant has been found to contribute to
356
increase coalescence and sedimentation constants. Fig. 8 shows that with the presence of alkali,
357
the concentration in the range of 1000-1500 ppm also increases the coalescence constant. The
358
average value of coalescence constant is 0.94 in the presence of 500-1500 ppm of alkali, 200-600
359
ppm of surfactant and 400-800 ppm of polymer.
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Fig. 8. Influence of various ASP concentrations on the coalescence constant in the separation
362
prediction model
363
The upsurge in the alkali and surfactant concentrations had a significant influence on the
364
sedimentation constant. The influence of the polymer is negative on the coalescence constant,
365
while it has a negligible effect on the sedimentation constant, as shown in Fig. 9. The average 18
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value of the sedimentation constant is 2.1 in the presence of 500-1500 ppm of alkali, 200-600
367
ppm of surfactant and 400-800 ppm of polymer. A minimum constant value is found at 500 ppm
368
alkali and 200 ppm surfactant.
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Fig. 9. Effect of various ASP concentrations on the sedimentation constant in the separation
371
prediction model 3.5
373
Table 3 summarizes the analysis of the data regarding the effect of ASP on sedimentation of
374
water at 24 hours. It shows the estimates of the effect of process parameters on the separation of
375
water. The table displays estimates of linear terms and collective factors. P value shows the
376
variation from zero to 1 and the significant range will be 0 ≥ 0.05. The effectiveness of the alkali
377
is clearly the most significant factor (P = 0.0023) to reduce the separation of the water phase.
378
The interaction of the alkali-surfactant is also significant with P value 0.017, which decreases
379
sedimentation with a high negative effect, as predicted by the t-ratio is -2.99. The interaction of
380
the polymer-surfactant shows the significance with a P-value 0.077), having a negative influence
381
on sedimentation (t-Ratio -2.02). The interaction of the polymer-alkali as well as the polymer
382
alone has an insignificant impact on the separation.
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Effectiveness of ASP on water phase separation/sedimentation
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Table 3. Sorted parameter estimates for ASP effectiveness on sedimentation at 24 hours Term A (A-1000)*(S-400) (S-400)*(P-600) (A-1000)*(P-600) P S
Std. Error 0.005082 2.841e-5 0.000071 2.841e-5 0.012705 0.012705
t-Ratio -4.41 -2.99 -2.02 1.14 1.06 -0.91
Effect direction
Prob>|t 0.0023 0.0173 0.0776 0.2857 0.3190 0.3918 19
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Fig. 10 represents an interaction of the surfactant-alkali, the polymer-alkali and the
385
polymer-surfactant on the sedimentation at 24 hours. The large time period is taken to obtain the
386
final influence of ASP at complete sedimentation. Alkali and surfactant interaction have a
387
negative influence on water separation. The interaction effect of the polymer with the alkali is
388
insignificant on the separation. The interaction of the surfactant-alkali shows a stabilization of
389
the emulsion which leads to a less separated amount of water phase. The presence of weak alkali,
390
Na2CO3 in the emulsion triggered the carbonate ions and resulted in obtaining protons from
391
water droplets. It increases the amount of hydroxide ions therefore the pH of the solutions
392
increases. It has been explored in the past that in the presence of weak alkali, separation is less
393
problematic than that of strong alkali (Guo et al., 2017).
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Fig. 10. ASP interaction profiles for sedimentation/water separation
395 396
3.6
Effectiveness of ASP on the oil phase separation/coalescence
397
Table 4 provides a summary of the data analysis for the ASP effect on coalescence at 24 hours.
398
The interaction of the alkali-surfactant and the interaction of surfactant-polymer have
399
significantly affected to reduce the coalescence, the significance being P = 0.023 and P = 0.033,
400
respectively. However, the effect of the polymer is also significant in stabilizing the oil droplets,
401
which resulted in a decrease in coalescence of the oil phase with a high significance (P = 0.028).
402
The significance factor shows that coalescence is suppressed with increasing polymer 20
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403
concentration. A recent study has also shown that the addition of polymer to an alkaline and
404
surfactant solution considerably improves the rheology of the ASP slug (Pal et al., 2018).
405
Surprisingly, the surfactant alone has negligibly affected the coalescence of the oil phase.
Term (A-1000)*(S-400) P (S-400)*(P-600) A S (A-1000)*(P-600)
Std. Error 3.231e-5 0.014451 8.078e-5 0.00578 0.014451 3.231e-5
t-Ratio -3.03 -2.86 -2.74 -2.30 1.83 1.82
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Table 4. Sorted parameter estimates for ASP effectiveness on coalescence at 24 hours Effect direction
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Prob>|t| 0.0230* 0.0288* 0.0336* 0.0613 0.1164 0.1194
Fig. 11 displays the effect of a surfactant-alkali, a polymer-surfactant and a polymer-
408
alkali on the coalescence/oil phase separation at 24 hours. The interaction of the additives show
409
that the alkali-surfactant has reduced the separation of the oil phase, the effect is highly
410
significant at high concentration of these additives. The interaction of the surfactant-polymer
411
also reduced the separation of the oil. The interaction effect of the polymer-alkali has
412
significantly increase the separation of the oil. The coalescence of oil is suppressing and resulted
413
in the 40% separation of the oil with the interaction of high concentration of the additives i.e. A:
414
1500 ppm-S: 600 ppm and S; 600 ppm-P: 800 ppm. Although coalescence resulted in a 72%
415
separation of the oil at A: 500 ppm-S: 600 ppm and S: 600 ppm-P: 400 ppm. The presence of
416
NaOH results in a very stable emulsion as compared to the Na2CO3 (Gregersen et al., 2013).
417
While, the interaction of strong alkali with the surfactant indicates that absorption of the
418
surfactant is improved over weak alkali at similar concentrations (Krumrine and Falcone, 1987).
419
The absorption of the surfactant is greater because of the presence of monovalent ion in NaOH,
420
while absorption declines due to the presence of divalent in weak alkali, Na2CO3. Although the
421
high concentrations of weak alkali have similar stabilizing effect like strong alkalis in the Daqing
422
field (Guo, et al., 2017).
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Fig. 11. ASP interaction profiles for coalescence/oil separation
424 425
CONCLUSION
427
The actual data from the experiments were compared to the existing model used in the industry
428
for the prediction of separation and the design of gravity separators. The final separation time
429
calculated by the existing model is not perfect because it has been developed without taking into
430
account the effect of the ASP. An improvement of the existing model was carried out to ensure
431
its accuracy in predicting the actual separation time in the presence of ASP. The modified model
432
was developed more accurately to predict the coalescence and sedimentation profiles. The
433
interaction of the alkali-polymer and the surfactant-polymer has a significant effect in increasing
434
the difference between the coalescence heights of the model and actual data. Conversely, it was
435
realized that the difference in coalescence heights of model and the actual data decreased with
436
increasing concentration of the polymer alone and the interaction of alkali-surfactant
437
concentrations. The difference in sedimentation height between the model and actual data
438
increases with increasing concentrations of alkali and surfactant alone, as well as the interaction
439
of the alkali-surfactant. The results of the study also indicate that alkali is the most significant
440
parameter for reducing separation/sedimentation with all surfactant and polymer compositions.
441
The presence of weak alkali stabilizes the emulsion at higher concentration. The effectiveness of
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the surfactant is also increased to reduce the separation significantly at high concentration of
443
alkali. In conclusion, the presence of ASP in oil-water emulsions has increased the time for
444
complete separation. It is recommended to optimize ASP formulation injected into the reservoir,
445
particularly the alkali injection, in order to overcome the reduction of coalescence and
446
sedimentation for high water cut emulsions.
447
ACKNOWLEDGMENT
448
The authors would like to thank the Enhanced Oil Recovery Center - Universiti Teknologi
449
PETRONAS for the fund and supply of required material i.e. crude oil, reservoir brine and EOR
450
chemicals to carry out the research.
451
NOMENCLATURE
452
EOR = Enhanced Oil Recovery
453
ASP = Alkali/Surfactant/Polymer
454
Ws = Separated water, %
455
Wo = Separated oil, %
456
KC = Coalescence constant
457
KS = Sedimentation constant
458
hc = Coalescence interface height (m)
459
hci = Coalescence interface height at the point of inflection (m)
460
Ho = Initial dispersion height (m)
461
hs = Sedimentation height (m)
462
hsi = Sedimentation interface height at the point of inflection (m)
463
∆hi = Height of dense layer at the inflection point (m)
464
v = Sedimentation velocity (m/s)
465
Vo = Initial sedimentation velocity (m/s)
466
Vi = Sedimentation velocity at inflection point (m/s)
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23
t = time (s)
468
ti = time required to complete sedimentation (s)
469
εo = Holdup fraction of initial dispersed phase
470
ψ = Interfacial coalescence rate (m/s)
471
ψi = Interfacial coalescence rate at inflection point (m/s)
472
φ = Diameter of the drop at the coalescence interface (m)
473
φo = Diameter of initial droplet (m)
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REFERENCES
476
Abeynaike A., Sederman A., Khan Y., Johns M., Davidson J., Mackley M., 2012. The
477
experimental
478
glycerol/biodiesel droplet dispersions. Chemical engineering science, 79, pp. 125-137.
480
and
modelling
of
sedimentation
and
creaming
for
Apaydin, O. G., Kovscek, A. R., 2001. Surfactant concentration and end effects on foam flow in
TE D
479
measurement
porous media. Transport in porous media. 43(3), 511-536. Al-Kayiem H.H., Khan J.A., 2017. Evaluation of Alkali/Surfactant/Polymer Flooding on
482
Separation and Stabilization of Water/Oil Emulsion by Statistical Modeling. Energy & Fuels,
483
31, pp. 9290-930.
EP
481
Argillier J.F., Henaut I., Noik C., Viera R., Roca Leon F., Aanesen B., 2014. Influence of
485
chemical eor on topside produced water management. SPE Improved Oil Recovery
486
Symposium.
487 488
AC C
484
Aleem W., Mellon N., 2018. Model for the prediction of separation profile of oil-in-water emulsion. Journal of Dispersion Science and Technology, 39, pp. 8-17.
489
Aleem W., Mellon N., 2016. Experimental study on the effect of parameters on sedimentation
490
and coalescing profiles in liquid-liquid batch settler. Procedia Engineering, 148, pp. 887-895.
24
ACCEPTED MANUSCRIPT
491
Aleem W., Mellon N., Sufian S., Mutalib M.I., Subbarao D., 2015. A Model for the Estimation
492
of Surface Tension of Pure Hydrocarbon Liquids. Petroleum Science and Technology, 33,
493
pp. 1908-1915.
495
Binks B.P., Horozov T.S., 2006. Colloidal particles at liquid interfaces. Cambridge University
RI PT
494
Press.
Dalmazzone C., Noïk C. Argillier J.F., 2012. Impact of chemical enhanced oil recovery on the
497
separation of diluted heavy oil emulsions. Energy & Fuels, vol. 26, no. 6, pp. 3462-3469.
498
Delamaide E., Moreau P., Tabary R., 2015. A New Approach for Offshore Chemical Enhanced
499
SC
496
Oil Recovery. Offshore Technology Conference.
Farn R.J., 2008. Chemistry and technology of surfactants. John Wiley & Sons.
501
Frising T., Noïk C., Dalmazzone C., 2006. The liquid/liquid sedimentation process: from droplet
502
coalescence to technologically enhanced water/oil emulsion gravity separators: a review.
503
Journal of dispersion science and technology, 27, pp. 1035-1057.
505
Feng X., Xu Z., Masliyah J., 2008. Biodegradable polymer for demulsification of water-inbitumen emulsions. Energy & Fuels, 23, pp. 451-456.
TE D
504
M AN U
500
Guo H., Li Y., Wang F., Gu Y., 2017. Comparison of Strong-Alkali and Weak-Alkali ASP-
507
Flooding Field Tests in Daqing Oilfield. SPE Production & Operations, SPE-179661-PA.
508
Gregersen C.S., Kazempour M., Alvarado V., 2013. ASP design for the Minnelusa formation
509
under low-salinity conditions: Impacts of anhydrite on ASP performance. Fuel, 105: p. 368-
510
382.
512 513
AC C
511
EP
506
Guo H., Li Y., Li Y., Kong D., Li B., Wang F., 2017. Lessons Learned From ASP Flooding Tests in China. SPE Reservoir Characterization and Simulation Conference and Exhibition. Hirasaki G. J., Miller C. A., Raney O. G., Poindexter M. K., Nguyen D. T., Hera., 2010.
514
Separation
of
Produced
Emulsions
from
515
Processes†. Energy & Fuels, 25 (2), 555-561.
Surfactant
Enhanced
Oil
Recovery
25
ACCEPTED MANUSCRIPT
516
Huang B., Zhang W., Xu R., Shi Z., Fu C., Wang Y., Song K., 2017. A Study on the Matching
517
Relationship of Polymer Molecular Weight and Reservoir Permeability in ASP Flooding for
518
Duanxi Reservoirs in Daqing Oil Field. Energies, 10, p. 951. Huang B., Zhang W., Liu H., Fu C., Feng P., Wang Y., 2017. A study on the optimization of
520
surfactants in the main and vice slug in weak base ASP flooding. Energies, 10, pp. 304, 2017.
521
Hohl L., Knossalla M., Kraume M., 2017. Influence of dispersion conditions on phase separation
525 526 527 528 529 530
SC
524
Hartland S., Jeelani S.A., 1988. Prediction of sedimentation and coalescence profiles in a decaying batch dispersion. Chemical engineering science, 43, pp. 2421-2429. Jeelani S.A., Hartland S., 1998. Effect of dispersion properties on the separation of batch liquid−
M AN U
523
in liquid multiphase systems. Chemical Engineering Science, 171, pp. 76-87.
liquid dispersions. Industrial & engineering chemistry research, 37, pp. 547-554. Jing J., Tan J., Hu H., Sun J., Jing P., 2016. Rheological and Emulsification Behavior of Xinjiang Heavy Oil and Model Oils. The Open Fuels & Energy Science Journal, 9 (1). Krumrine P., Falcone Jr. J.S., 1987. Beyond alkaline flooding: Design of complete chemical systems. SPE International Symposium on Oilfield Chemistry.
TE D
522
RI PT
519
Khan J.A., Al-Kayiem H.H., Aris M.S., 2015. Stabilization of Produced Crude Oil Emulsion in
532
the Presence of ASP. SPE Asia Pacific Enhanced Oil Recovery Conference, SPE-174671-
533
MS.
535 536 537 538 539 540 541
Krebs T., Schroën C., Boom R., 2012. Separation kinetics of an oil-in-water emulsion under enhanced gravity. Chemical Engineering Science, 71, pp. 118-125.
AC C
534
EP
531
Kokal S., 2008. Crude oil emulsions: Everything you wanted to know but were afraid to ask. SPE Distiguished Lectures Series, Lecture Session, Saudi Aramco. Kokal S., 2005. Crude oil emulsions: A state-of-the-art review. SPE Production & facilities, 20, pp. 5-13. Kokal S., Wingrove M., 2000. Emulsion separation index: From laboratory to field case studies. In SPE Annual Technical Conference and Exhibition, SPE-63165-MS.
26
ACCEPTED MANUSCRIPT
543 544 545 546
Koh H.S., 2015. Experimental investigation of the effect of polymers on residual oil saturation (Doctoral dissertation). Li M., Lin M., Wu Z., Christy A.A., 2005. The influence of NaOH on the stability of paraffinic crude oil emulsion. Fuel, vol. 84, no. 2, pp. 183-187.
RI PT
542
Madhu G.M., Kumar S.M., Lourdu Antony Raj M.A., 2007. Studies on Separation of Liquid‐
547
Liquid Dispersions: Diesel‐Water System in Batch Settler. Journal of Dispersion Science and
548
Technology, 28, pp. 1123-1131.
551 552
SC
550
Mungma N., Chuttrakul P., Pfennig A., 2013. Liquid-liquid phase separation in batch settling with inclined plates. J Tekn, 67.
Nadiv C., Semiat R., 1995. Batch settling of liquid-liquid dispersion. Industrial and Engineering
M AN U
549
Chemistry Research, 34, pp. 2427-2435.
553
Noïk C., Palermo T., Dalmazzone C., 2013. Modeling of liquid/liquid phase separation:
554
application to petroleum emulsions. Journal of Dispersion Science and Technology, 34, pp.
555
1029-1042.
Olajire A., 2014. Review of ASP EOR (alkaline surfactant polymer enhanced oil recovery)
557
technology in the petroleum industry: Prospects and challenges. Energy, vol. 77, pp. 963-
558
982.
TE D
556
Pal N., Saxena N., Mandal A., 2018. Characterization of alkali-surfactant-polymer slugs using
560
synthesized gemini surfactant for potential application in enhanced oil recovery. Journal of
561
Petroleum Science and Engineering, 168, pp. 283-300.
563
AC C
562
EP
559
Pal R., 2014. Exergy destruction in pipeline flow of surfactant-stabilized oil-in-water emulsions. Energies, 7, pp. 7602-7619.
564
Seright R.S., 2017. How Much Polymer Should Be Injected During a Polymer Flood? Review of
565
Previous and Current Practices. IOR19th European Symposium on Improved Oil Recovery.
566
Shupe R.D., Maddox Jr J., Texaco Inc., 1978. Surfactant oil recovery process usable in high
567
temperature, high salinity formations. U.S. Patent 4,077,471.
27
ACCEPTED MANUSCRIPT
569 570 571
Sztukowski D.M., Yarranton H.W., 2005. Oilfield solids and water-in-oil emulsion stability. Journal of colloid and interface science, vol. 285, no. 2, pp. 821-833. Tadros T.F., 2009. Emulsion science and technology: a general introduction. Wiley VCH Verlag GmbH & Co. KGaA.
RI PT
568
572
Wong S., Lim J., Dol S., 2015. Crude oil emulsion: a review on formation, classification and
573
stability of water-in-oil emulsions. Journal of Petroleum Science and Engineering, 135, pp.
574
498-504.
Wong S.F., Dol S.S., Wee S.K., Chua H.B., 2018. Miri light crude water-in-oil emulsions
576
characterization–Rheological behaviour, stability and amount of emulsions formed. Journal
577
of Petroleum Science and Engineering, 165, pp. 58-66.
579 580 581
M AN U
578
SC
575
Wang Z.B., Bai W., Zhao X.T., 2012. Study on emulsification properties of ethanolamine and sodium carbonate. Applied Chemical Industry, 41(4), pp.566-569. Zhang F., Liu G., Ma J., Ouyang J., Yi X., Su H., 2017. Main challenges in demulsifier research and application. Materials Science and Engineering Conference Series, 167, p. 012068. Zhang L.H., Xiao H., Zhang H.T., Xu L.J., Zhang D., 2007. Optimal design of a novel oil–water
583
separator for raw oil produced from ASP flooding. Journal of Petroleum Science and
584
Engineering, 59, pp. 213-218.
EP
586
Zhu Y., Hou Q., Liu W., Ma D., Liao G.Z., 2012. Recent progress and effects analysis of ASP flooding field tests. SPE Improved Oil Recovery Symposium.
AC C
585
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Highlights •
Influence of EOR chemicals on coalescence and sedimentation of the oil / water emulsion in the primary separator. An existing model for estimating the coalescence and sedimentation heights of the emulsion has
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been modified with better accuracy. •
The interaction and significance of the alkaline-surfactant, the surfactant-polymer and the alkali-polymer on the coalescence and sedimentation of the oil-in-water emulsion are
The sedimentation height decreases significantly with increasing concentrations of alkali and
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surfactant alone, as well as the interaction of alkali-surfactant.
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elaborated.