Induced oil droplet coalescence influence on watercut improvement of liquid-liquid cylindrical cyclone (LLCC) oil-water separator

In order to solve the problem of high water cut wells in some oil field in Daqing that it could not get the large-scale application because of the bad separating effect of down hole centrifugal oil-water separator, we optimize the design of multi-cup uniform flux oil-water separator according to the similar separation principle of multi-cup uniform flux gas anchor, and it is obtained to achieve of injection-production technology in the same well which is of high water cut. The design concept of the separator is increasing the number of opening every layer and aperture gradually in subsection from up to down in the design process. The purpose is to get the close intake quantity of every orifice and guarantee the residence time is long enough in the separator, effectively shorten the length of down hole oil-water separator and reduce the production costs and operating costs.

Download Full-text

Measurement of Oil Droplet Size Distributions in Food Oil/Water Emulsions by Time Domain Pulsed Field Gradient NMR

Journal of Colloid and Interface Science ◽

10.1006/jcis.2001.7603 ◽

2001 ◽

Vol 239 (2) ◽

pp. 535-542 ◽

Cited By ~ 60

Author(s):

G.J.W. Goudappel ◽

J.P.M. van Duynhoven ◽

M.M.W. Mooren

Keyword(s):

Field Gradient ◽

Droplet Size ◽

Time Domain ◽

Size Distributions ◽

Pulsed Field Gradient Nmr ◽

Oil Droplet ◽

Pulsed Field ◽

Oil Water ◽

Droplet Size Distributions ◽

Oil Droplet Size

Download Full-text

An amphiphobic graphene-based hydrogel as oil-water separator and oil fence material

Chemical Engineering Journal ◽

10.1016/j.cej.2018.07.147 ◽

2018 ◽

Vol 353 ◽

pp. 708-716 ◽

Cited By ~ 24

Author(s):

Wenjihao Hu ◽

Peibin Zhang ◽

Xiaokong Liu ◽

Bin Yan ◽

Li Xiang ◽

...

Keyword(s):

Water Separator ◽

Oil Water

Download Full-text

Droplet Coalescence in Liquid/Liquid Separation

Journal of Fluids Engineering ◽

10.1115/1.4047796 ◽

2020 ◽

Vol 142 (11) ◽

Author(s):

Weiwei E. ◽

Kevin Pope ◽

Xili Duan

Keyword(s):

Relative Error ◽

Volume Fraction ◽

Force Balance ◽

Water Volume ◽

Droplet Coalescence ◽

Liquid Separation ◽

Water Separation ◽

Numerical Predictions ◽

New Correlation ◽

Oil Water

Abstract In this paper, a new correlation is developed to predict liquid/liquid separation dynamics with a focus on a water/oil mixture. The correlation employs a force balance on the droplets to predict the rising velocity of the oil phase. The effect of droplet coalescence on the droplet's rising velocity is investigated, and the new correlation predicts the coalescence rate based on the oil/water volume fraction, as well as the initial droplet diameter. To develop the correlation for droplet coalescence, a series of new numerical simulations of a batch oil/water separation process were conducted. An equivalent experiment was conducted, the results of which agree well with the numerical predictions (relative error of 13.39%). The new correlation can predict the rate of separation with a relative error of 6.35% compared to numerical predictions.

Download Full-text

Surrogate Models for Predicting the Performance of a Liquid-Liquid Cylindrical Cyclone Separator

Process Industries ◽

10.1115/imece2006-14759 ◽

2006 ◽

Author(s):

Jorge E. Pacheco ◽

Miguel A. Reyes

Keyword(s):

Flow Pattern ◽

Mean Squared Error ◽

Surrogate Models ◽

Mechanistic Models ◽

Water Mixture ◽

Inlet Flow ◽

Prediction Tools ◽

Squared Error ◽

Cylindrical Cyclone ◽

Oil Water

Liquid-Liquid Cylindrical Cyclone (LLCC) separators are devices used in the petroleum industry to extract a portion of the water from the oil-water mixture obtained at the well. The oil-water mixture entering the separator is divided due to centrifugal and buoyancy forces in an upper (oil rich) exit and a bottom (water rich) exit. The advantages in size and cost compared with traditional vessel type static separators are significant. The use of LLCC separators has not been widespread due to the lack of proven performance prediction tools. Mechanistic models have been developed over the years as tools for predicting the behavior of these separators. These mechanistic models are highly dependent on the inlet flow pattern prediction. Thus, for each specific inlet flow pattern a sub-model has to be developed. The use of surrogate models will result in prediction tools that are accurate over a wider range of operational conditions. We propose in this study to use surrogate models based on a minimum-mean-squared-error method of spatial prediction known as Kriging. Kriging models have been used in different applications ranging from structural optimization, conceptual design, multidisciplinary design optimization to mechanical and biomedical engineering. These models have been developed for deterministic data. They are targeted for applications where the available information is limited due to the cost of the experiments or the time consumed in numerical simulations. We propose to use these models with a different framework so that they can manage information from replications. For the LLCC separator a two-stage surrogate model is built based on the Bayesian surrogate multistage approach, which allows for data to be incorporated as the model is improved. Cross validation mean squared error measurements are analyzed and the model obtained shows good predicting capabilities. These surrogate models are efficient and versatile predicting tools that do not require information about the physical phenomena that drives the separation process.

Download Full-text