Microwave measurement of water content in flowing crude oil

Makeev, Yu. V.; Lifanov, A. P.; Sovlukov, A.S.

doi:10.1134/s0005117913010153

Cited by 14 publications

(6 citation statements)

References 3 publications

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“…The dielectric properties of fruit were calculated by quasi-static admittance model and dielectric mixing model. In 2013, Makeev Y V et al [9] proposed a microwave method and device for FLOMEKO 2022, Chongqing, China measuring the moisture content of flowing crude oil. Two modifications had been made to the device, which could be used to measure moisture content in the range of 0.01-30% and 0.01-100%, respectively.…”

Section: Introductionmentioning

confidence: 99%

void fraction measurement using the coaxial line phase technique in the vertical gas-liquid slug flow

Zhao¹,

Song²,

Wang³

et al. 2023

Proceedings of the 19th International Flow Measurement Conference 2022 on Flow Measurement - FLOMEKO 2022

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Based on the electromagnetic wave propagation principle, a prediction model based on the phase difference of coaxial lines to measure the void fraction of the slug flow is proposed, and experiments on vertical pipe slug flow are conducted under 70 working conditions. A new mixing dielectric constant measurement model is established by adding a phase mixer device to the sensor to stir the slug flow into a popular and stable homogeneous flow. The homogeneous flow under the same experimental conditions is used as the reference true value of the slug flow measurement section void fraction model, and the prediction model is validated and optimized. The results show that the MAPE value of the optimized measurement model is reduced from 2.96% to 1.02% without the addition of a phase mixer, and the prediction of the void fraction of the slug flow is improved compared with the previous one.

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Section: Introductionmentioning

confidence: 99%

void fraction measurement using the coaxial line phase technique in the vertical gas-liquid slug flow

Zhao¹,

Song²,

Wang³

et al. 2023

Proceedings of the 19th International Flow Measurement Conference 2022 on Flow Measurement - FLOMEKO 2022

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“…In this regard, the development of methods and tools for automating and digitalizing the oil dehydration process is an urgent task for the entire oil industry. The works [ 2 , 3 , 4 ] consider the microwave method, and in [ 5 ], the ultrashort wave method, which allows for the measurement of both high and low water contents in crude oil in an oil pipeline, is considered. The use of spectroscopic detection technology to measure the water content in crude oil was shown by researchers from China [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Detection and Dispersion Analysis of Water Globules in Oil Samples Using Artificial Intelligence Algorithms

Beskopylny,

Chepurnenko,

Meskhi

et al. 2023

Biomimetics

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Fluid particle detection technology is of great importance in the oil and gas industry for improving oil-refining techniques and in evaluating the quality of refining equipment. The article discusses the process of creating a computer vision algorithm that allows the user to detect water globules in oil samples and analyze their sizes. The process of developing an algorithm based on the convolutional neural network (CNN) YOLOv4 is presented. For this study, our own empirical base was proposed, which comprised microphotographs of samples of raw materials and water–oil emulsions taken at various points and in different operating modes of an oil refinery. The number of images for training the neural network algorithm was increased by applying the authors’ augmentation algorithm. The developed program makes it possible to detect particles in a fluid medium with the level of accuracy required by a researcher, which can be controlled at the stage of training the CNN. Based on the results of processing the output data from the algorithm, a dispersion analysis of localized water globules was carried out, supplemented with a frequency diagram describing the ratio of the size and number of particles found. The evaluation of the quality of the results of the work of the intelligent algorithm in comparison with the manual method on the verification microphotographs and the comparison of two empirical distributions allow us to conclude that the model based on the CNN can be verified and accepted for use in the search for particles in a fluid medium. The accuracy of the model was AP@50 = 89% and AP@75 = 78%.

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“…The works of Gregory and Clarke [ 19 ] and Makeev et al [ 20 ] present a method based on microwaves. The main advantage is the possibility to measure the whole range of water fractions (from 0% to 100%, with an extra advantage at the precision at lower fractions).…”

Section: Introductionmentioning

confidence: 99%

An Ultrasonic-Capacitive System for Online Characterization of Fuel Oils in Thermal Power Plants

Campos

Borges-da-Silva

Arantes

et al. 2021

Sensors

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This paper presents a ultrasonic-capacitive system for online analysis of the quality of fuel oils (FO), which are widely used to produce electric energy in Thermal Power Plants (TPP) due to their elevated heating value. The heating value, in turn, is linked to the quality of the fuel (i.e., the density and the amount of contaminants, such as water). Therefore, the analysis of the quality is of great importance for TPPs, either in order to avoid a decrease in generated power or in order to avoid damage to the TPP equipment. The proposed system is composed of two main strategies: a capacitive system (in order to estimate the water content in the fuel) and an ultrasonic system (in order to estimate the density). The conjunction of the two strategies is used in order to estimate the heating value of the fuel, online, as it passes through the pipeline and is an important tool for the TPP in order to detect counterfeit fuel. In addition, the ultrasonic system allows the estimation of the flow rate through the pipeline, hence estimating the amount of oil transferred and obtaining the total mass transferred as a feature of the system. Experimental results are provided for both sensors installed in a TPP in Brazil.

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Microwave measurement of water content in flowing crude oil

Cited by 14 publications

References 3 publications

void fraction measurement using the coaxial line phase technique in the vertical gas-liquid slug flow

void fraction measurement using the coaxial line phase technique in the vertical gas-liquid slug flow

Detection and Dispersion Analysis of Water Globules in Oil Samples Using Artificial Intelligence Algorithms

An Ultrasonic-Capacitive System for Online Characterization of Fuel Oils in Thermal Power Plants

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