scholarly journals Volume Fraction Measurement in Crude Oil-Water Two-Phase Mixture using a Neutron Beam

2017 ◽  
Vol 2 (2) ◽  
pp. 57-63
Author(s):  
Abdullah A. Kendoush ◽  
Hameed B. Mahood ◽  
Ibrahim G. Fiadh

A neutron beam has been used to measure the volume fraction of crude oil in water of non- flow two-phase mixture experimentally.241Am-Be neutron source were used with an activity of 3.7x104 MBq. The volume fraction was simulated by using small plastic tubes filled with oil and immersed in non-flow water tube. The results show that it is feasible to measure the volume fraction of crude oil in a crude oil-water mixture.

2000 ◽  
Vol 122 (4) ◽  
pp. 169-176 ◽  
Author(s):  
Yuri V. Fairuzov ◽  
Pedro Arenas-Medina ◽  
Jorge Verdejo-Fierro ◽  
Ruben Gonzalez-Islas

Full-scale experiments were conducted in order to investigate flow pattern transitions in horizontal pipelines carrying oil-water mixtures. In the experiments, a 16-in. pipeline conveying light crude oil was used. The line was connected to a freshwater network to control the input water volume fraction. A gate valve installed at the pipeline inlet controlled the oil flow rate. The transition from stratified flow to dispersed flow was determined by measuring the transversal water fraction profile. For this purpose, a special device, the multi-point sampling probe, was designed and installed into the pipeline. The probe has movable sampling tubes that allow taking samples simultaneously at six points along the diameter of the pipe. The rate of withdrawal of each sample was adjusted by a needle valve according to the mixture velocity in order to minimize the effect of the probe on the measured water fraction profile. The samples were analyzed for water content in a laboratory using a standard method for determining the water fraction in crude oils. Based on the data obtained, a flow pattern map was constructed. The experimental stratified/nonstratified transition boundary was compared with two theoretical criteria obtained in the linear stability analysis of stratified two-phase liquid-liquid flow. The results of this study can be useful for the design and operation of pipelines transporting crude oil, as well as for the validation of multifield multidimensional models of two-phase flow. [S0195-0738(00)00404-0]


2002 ◽  
Vol 124 (4) ◽  
pp. 239-245 ◽  
Author(s):  
Antonio Rojas-Figueroa ◽  
Yuri V. Fairuzov

The transport of corrosion inhibitors in a pipeline carrying crude oil-water mixture has been studied using a transient liquid-liquid two-phase flow model. The fluid flow model (the hydrodynamic model) is based on a two-fluid model of two-phase flow. The model allows simulating the transfer of inhibitor from one phase to another (inhibitor partitioning) under steady-state and transient oil-water flow conditions. Both stratified and dispersed flow patterns can be modeled. Numerical simulations are presented to demonstrate the effects of topography of the line, locations of the inhibitor injection point, flow pattern, and partitioning of the inhibitor between the phases on the distribution of inhibitor concentration along the pipeline. The modeling can be used to predict the inhibitor volume needed to be injected (the dose rate) in order to provide the required inhibitor concentration in critical sections of crude-oil pipelines.


Author(s):  
Antonio Rojas-Figueroa ◽  
Yuri V. Fairuzov

Abstract The transport of corrosion inhibitors in a pipeline carrying crude oil-water mixture has been studied using a transient liquid-liquid two-phase flow model. The fluid flow model (the hydrodynamic model) is based on a two-fluid model of two-phase flow. The model allows simulating the transfer of inhibitor from one phase to another (inhibitor partitioning) under steady state and transient oil-water flow conditions. Both stratified and dispersed flow patterns can be modeled. Numerical simulations are presented to demonstrate the effects of topography of the line, locations of the inhibitor injection point, flow pattern, and partitioning of the inhibitor between the phases on the distribution of inhibitor concentration along the pipeline. The modeling can be used to predict the inhibitor volume needed to be injected (the dose rate) in order to provide the required inhibitor concentration in critical sections of crude-oil pipelines.


2018 ◽  
Vol 10 (5) ◽  
pp. 19
Author(s):  
Ferdusee Akter ◽  
Md. Bhuyan ◽  
Ujjwal Deb

Two phase flows in pipelines are very common in industries for the oil transportations. The aim of our work is to observe the effect of oil volume fraction in the oil in water two phase flows. The study has been accomplished using a computational model which is based on a Finite Element Method (FEM) named Galerkin approximation. The velocity profiles and volume fractions are performed by numerical simulations and we have considered the COMSOL Multiphysics Software version 4.2a for our simulation. The computational domain is 8m in length and 0.05m in radius. The results show that the velocity of the mixture decreases as the oil volume fraction increases. It should be noted that if we gradually increase the volume fractions of oil, the fluid velocity also changes and the saturated level of the volume fraction is 22.3%.


2014 ◽  
Vol 14 (4) ◽  
pp. 219-226 ◽  
Author(s):  
Dongzhi Zhang ◽  
Bokai Xia

Abstract Measurement of water content in oil-water mixing flow was restricted by special problems such as narrow measuring range and low accuracy. A simulated multi-sensor measurement system in the laboratory was established, and the influence of multi-factor such as temperature, and salinity content on the measurement was investigated by numerical simulation combined with experimental test. A soft measurement model based on rough set-support vector machine (RS-SVM) classifier and genetic algorithm-neural network (GA-NN) predictors was reported in this paper. Investigation results indicate that RS-SVM classifier effectively realized the pattern identification for water holdup states via fuzzy reasoning and self-learning, and GA-NN predictors are capable of subsection forecasting water content in the different water holdup patterns, as well as adjusting the model parameters adaptively in terms of online measuring range. Compared with the actual laboratory analyzed results, the soft model proposed can be effectively used for estimating the water content in oil-water mixture in all-round measuring range


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