The Influence on Response of a Combined Capacitance Sensor in Horizontal Oil–Water Two-Phase Flow

Li, Lei; Kong, Lingfu; Xie, Beibei; Fang, Xin; Kong, Weihang; Liu, Xingbin; Wang, Yanjun; Zhao, Fengda

doi:10.3390/app9020346

Cited by 8 publications

(6 citation statements)

References 24 publications

(23 reference statements)

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“…When the oil-water emulsion flows past these electrodes, the capacitance value changes due to the different dielectric constants of oil and water, so the difference in the capacitance value indicates the change in the water cut. When the water cut value is high, the oil bubble size distribution and quantity in oil-in-water emulsions will influence the measured value of capacitance of the coaxial capacitance sensor [13]. Capacitance wire-mesh sensors are intrusive, flow-imaging techniques that employ a high temporal resolution and spatial distribution to study multi-phase flow [14].…”

Section: Coaxial Capacitance Sensor (In-contact)mentioning

confidence: 99%

Water-Cut Measurement Techniques in Oil Production and Processing—A Review

Kamal,

Abbasi,

Hassanzadeh

2023

Energies

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Water cut is a vital monitoring and surveillance parameter with great significance in oil production operations and processing. Water-cut measurements are also challenging due to the significant variations and the harsh measurement environment. The objective of this article is to review the current water-cut measurement techniques and suggest future areas that are expanding to overcome existing measurement challenges. Commercially available online methods such as capacitance-based sensors, tomography techniques, gamma densitometry, ultrasonic meters and infrared meters, and the traditional laboratory offline methods, are discussed, along with their principle of operation, detection range, and sensing resolution. Also, the discussed techniques are summarized, highlighting their main advantages and limitations. Furthermore, future trends and research areas, such as Artificial Intelligence (AI), soft computing, Metamaterials, and Nuclear Magnetic Resonance (NMR), which are integrated with water-cut measurements, are briefly mentioned. The current research hotspots are directed toward integrating full-range measurements with multi-parameter detection, high sensitivity, and reliability.

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Section: Coaxial Capacitance Sensor (In-contact)mentioning

confidence: 99%

Water-Cut Measurement Techniques in Oil Production and Processing—A Review

Kamal,

Abbasi,

Hassanzadeh

2023

Energies

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“…However, because the single well capacity of horizontal wells in low permeability reservoirs is generally low [4][5] [6], for example, the horizontal production of a single well in Daqing oil field is around 20 m 3 /d [7][8] so the single section production may be lower than 0.1 m 3 /d under the horizontal well multi-segment multi-cluster fracturing condition [9] [10]. In this low fluid production situation, there is no corresponding flow testing technique in China to meet this flow range and lower flow limit [11]. To this end, this paper proposes a phase-modulated volumetric flowmeter for low-production fluid horizontal wells to achieve accurate testing of oil and water single-phase flow, avoiding errors caused by water content in oil-phase flow measurement and providing technical support for the promotion and application of large-scale fracturing technology in horizontal wells.…”

Section: Introductionmentioning

confidence: 99%

Simulation research on a new method of phase-regulated single-phase flow measurement for low production horizontal well

Gao

2023

Third International Conference on Mechanical Design and Simulation (MDS 2023)

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In order to solve the problems of high lower limit and low accuracy of existing flow testing techniques for horizontal well output profiles, a phase-regulated volumetric flow meter was designed and a single-phase flow measurement method was proposed. Firstly, Gambit was used to establish the simulation model of the flowmeter; then the finite element simulation software FLUENT was used to study the dynamic regulation effect of the flowmeter for oil and water two-phase flow under the conditions of different flow rates and water content, which verified the feasibility of the flowmeter; finally, according to the simulation monitoring data, the response value of the array conductivity sensor under the oil and water measurement mode was obtained respectively with the change of liquid level, and finally the single-phase flow rate of oil and water was deduced.

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“…Flow velocity [1] is an important monitoring parameter for oilfield development and it can evaluate the production of each oil reservoir [2]- [3]. Due to low velocity and high water cut, flow characteristics of oil-water two-phase flow [4]- [7] are very different from those of other conditions. The interpretation of log data [8]- [10] such as velocity depends on flow characteristics, so it is necessary to study the flow characteristics of oil-water two-phase flow at low flow velocity and high water cut state.…”

Section: Introductionmentioning

confidence: 99%

Oil Phase Velocity Measurement of Oil-Water Two-Phase Flow with Low Velocity and High Water Cut Using the Improved ORB and RANSAC Algorithm

Han

Wang

Yao

et al. 2020

Measurement Science Review

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Velocity is an important parameter for fluid flow characteristics in profile logging. Particle tracking velocimetry (PTV) technology is often used to study the flow characteristics of oil wells with low flow velocity and high water cut, and the key to PTV technology is particle matching. The existing particle matching algorithms of PTV technology do not meet the matching demands of oil drops in the oil phase velocity measurement of oil-water two-phase flow with low velocity and high water cut. To raise the particle matching precision, we improved the particle matching algorithm from the oriented FAST and the rotated BRIEF (ORB) feature description and the random sample consensus (RANSAC) algorithm. The simulation and experiment were carried out. Simulation results show that the improved algorithm not only increases the number of matching points but also reduces the computation. The experiment shows that the improved algorithm in this paper not only reduces the computation of the feature description process, reaching half of the computation amount of the original algorithm, but also increases the number of matching results, thus improving the measurement accuracy of oil phase velocity. Compared with the SIFT algorithm and the ORB algorithm, the improved algorithm has the largest number of matching point pairs. And the variation coefficient of this algorithm is 0.039, which indicates that the algorithm is stable. The mean error of oil phase velocity measurement of the improved algorithm is 1.20 %, and the maximum error is 6.16 %, which is much lower than the maximum error of PTV, which is 25.89 %. The improved algorithm overcomes the high computation cost of the SIFT algorithm and achieves the precision of the SIFT algorithm. Therefore, this study contributes to the improvement of the measurement accuracy of oil phase velocity and provides reliable production logging data for oilfield.

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The Influence on Response of a Combined Capacitance Sensor in Horizontal Oil–Water Two-Phase Flow

Cited by 8 publications

References 24 publications

Water-Cut Measurement Techniques in Oil Production and Processing—A Review

Water-Cut Measurement Techniques in Oil Production and Processing—A Review

Simulation research on a new method of phase-regulated single-phase flow measurement for low production horizontal well

Oil Phase Velocity Measurement of Oil-Water Two-Phase Flow with Low Velocity and High Water Cut Using the Improved ORB and RANSAC Algorithm

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