AI-Based Evaluation of Homogeneous Flow Volume Fractions Independent of Scale Using Capacitance and Photon Sensors DOI Creative Commons
Abdulilah Mohammad Mayet, Salman Arafath Mohammed, Shamimul Qamar

et al.

ARO-The Scientific Journal of Koya University, Journal Year: 2024, Volume and Issue: 12(2), P. 167 - 178

Published: Nov. 9, 2024

Metering fluids is critical in various industries, and researchers have extensively explored factors affecting measurement accuracy. As a result, numerous sensors methods are developed to precisely measure volume fractions multi-phase fluids. A significant challenge fluid pipelines the formation of scale within pipes. This issue particularly problematic petroleum industry, leading narrowed internal diameters, corrosion, increased energy consumption, reduced equipment lifespan, and, most crucially, compromised flow paper proposes non-destructive metering system incorporating an artificial neural network with capacitive photon attenuation address this challenge. The simulates thicknesses from 0 mm 10 using COMSOL multiphysics software calculates counted rays through Beer Lambert equations. simulation considers 10% interval variation each phase, generating 726 data points. proposed network, two inputs—measured capacity rays-and three outputs—volume gas, water, oil—achieves mean absolute errors 0.318, 1.531, 1.614, respectively. These results demonstrate system’s ability accurately gauge proportions three-phase gas-water-oil fluid, regardless pipeline thickness.

Language: Английский

Application of artificial neural network to multiphase flow metering: A review DOI

Siamak Bahrami,

Saeid Alamdari,

Mohammadreza Farajmashaei

et al.

Flow Measurement and Instrumentation, Journal Year: 2024, Volume and Issue: 97, P. 102601 - 102601

Published: April 26, 2024

Language: Английский

Citations

13
An optimised and novel capacitance-based sensor design for measuring void fraction in gas–oil two-phase flow systems DOI Creative Commons
Abdullah M. Iliyasu, Mohammad Hossein Shahsavari,

Abdullah S. Benselama

et al.

Nondestructive Testing And Evaluation, Journal Year: 2024, Volume and Issue: 39(8), P. 2450 - 2466

Published: Jan. 9, 2024

This study explores a new electrode configuration for measuring the void fraction of two-phase flows using capacitance-based sensors. The proposed method is considered 'skewed' because its unique geometric shape, and performance sensor was evaluated improved via multiple simulations COMSOL Multiphysics software. encompass three different flow patterns, stratified, annular homogeneous, whose themselves were verified in previous study. influences properties parameters on sensitivity to determine an optimal configuration. Furthermore, distribution fractions analysed various patterns. Additionally, also compared alongside double-ring concave sensors overall sensitivity. At 2.11 pF, significantly higher than that other It worth mentioning measurement precision multiphase meters high importance, particularly petroleum industry oil price amount transported products.

Language: Английский

Citations

6
Measuring volume fractions of a three-phase flow without separation utilizing an approach based on artificial intelligence and capacitive sensors DOI Creative Commons
Abdulilah Mohammad Mayet, Farhad Fouladinia, Seyed Mehdi Alizadeh

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0301437 - e0301437

Published: May 16, 2024

Many different kind of fluids in a wide variety industries exist, such as two-phase and three-phase. Various combinations them can be expected gas-oil-water is one the most common flows. Measuring volume fraction phases without separation vital many aspects, which financial issues. methods are utilized to ascertain volumetric proportion each phase. Sensors based on measuring capacity so popular because this sensor operates seamlessly autonomously necessitating any form segregation or disruption for process. Besides, at present moment, Artificial intelligence (AI) nominated useful tool several fields, metering no exception. Also, three main type regimes found annular, stratified, homogeneous. In paper, fractions three-phase homogeneous regime measured. To accomplish objective, an Neural Network (ANN) capacitance-based utilized. train presented network, optimized was implemented COMSOL Multiphysics software after doing lot simulations, 231 data produced. Among all obtained results, 70 percent (161 data) awarded data, rest (70 considered test data. This investigation proposes new intelligent system Multilayer Perceptron network (MLP) that estimate water-oil-gas fluid’s water precisely with very low error. The Mean Absolute Error (MAE) equal 1.66. dedicates predicting method’s considerable accuracy. Moreover, study confined cannot measure void other fluid types future works. temperature pressure changes highly temper relative permittivity density liquid inside pipe another idea.

Language: Английский

Citations

6
A novel metering system consists of capacitance-based sensor, gamma-ray sensor and ANN for measuring volume fractions of three-phase homogeneous flows DOI
Farhad Fouladinia, Seyed Mehdi Alizadeh,

Evgeniya Ilyinichna Gorelkina

et al.

Nondestructive Testing And Evaluation, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 27

Published: July 7, 2024

Measuring the volume fraction of different types fluids with two or three phases is so vital. Among all available methods, them, capacitance-based and gamma-ray attenuation, are popular widely used. Moreover, nowadays, AI which stands for Artificial Intelligence can be seen almost in areas, measuring section no exception. In this paper, main goal to predict a three-phase homogeneous fluid contains water, oil, gas materials. To opt an optimised method, combination sensors, attenuation sensor Neural Networks (ANN) utilised. train proposed metering system MLP type, inputs considered. For first input, concave simulated COMSOL Multiphysics software combinations (different fractions) applied. Then through theoretical investigations sensor, Barium-133 radiates 0.356 MeV This way, second required input generated. Finally, implement new accurate system, number networks characteristics run MATLAB software. The best structure had Mean Absolute Error (MAE) equal 0.33, 3.68 3.75 oil phases, respectively. accuracy presented illustrated by received outcomes. novelty study proposing combined method that measure fluid's fractions containing precisely.

Language: Английский

Citations

4
Utilizing a Four-Concave Capacitance Sensor and ANN to Forecast Void Fraction in Two-Phase Stratified Flow Independent of Liquid Type DOI
Mohammad Hossein Shahsavari, Seyed Mehdi Alizadeh,

Evgeniya Ilyinichna Gorelkina

et al.

Journal of Nondestructive Evaluation, Journal Year: 2025, Volume and Issue: 44(1)

Published: Feb. 9, 2025

Language: Английский

Citations

0
Real-time reconstruction of a slug regime with a Collimated Infrared Transceiver DOI

K. Sowndarya,

M. Venkatesan

Flow Measurement and Instrumentation, Journal Year: 2025, Volume and Issue: unknown, P. 102898 - 102898

Published: March 1, 2025

Language: Английский

Citations

0
MLP ANN Equipped Approach to Measuring Scale Layer in Oil-Gas-Water Homogeneous Fluid by Capacitive and Photon Attenuation Sensors DOI
Abdulilah Mohammad Mayet, Salman Arafath Mohammed,

Evgeniya Ilyinichna Gorelkina

et al.

Journal of Nondestructive Evaluation, Journal Year: 2025, Volume and Issue: 44(2)

Published: April 1, 2025

Language: Английский

Citations

0
Intelligent Measuring of the Volume Fraction Considering Temperature Changes and Independent Pressure Variations for a Two-Phase Homogeneous Fluid Using an 8-Electrode Sensor and an ANN DOI Creative Commons
Ramy Mohammed Aiesh Qaisi, Farhad Fouladinia, Abdulilah Mohammad Mayet

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(15), P. 6959 - 6959

Published: Aug. 5, 2023

Two-phase fluids are widely utilized in some industries, such as petrochemical, oil, water, and so on. Each phase, liquid gas, needs to be measured. The measuring of the void fraction is vital many industries because there two-phase with a wide variety liquids. A number methods exist for fraction, most popular capacitance-based sensors. Aside from being easy use, sensor does not need any separation or interruption measure fraction. In addition, contemporary era, thanks Artificial Neural Networks (ANN), measurement have become much more accurate. same can said this paper, new metering system utilizing an 8-electrode Multilayer Perceptron network (MLP) presented predict air water volume fractions homogeneous fluid. Some characteristics, temperature, pressure, etc., impact on results obtained aforementioned sensor. Thus, considering temperature changes, proposed predicts independent pressure variations. All simulations were performed using COMSOL Multiphysics software changes 275 370 degrees Kelvin. range 1 500 Bars, was considered pressure. has inputs mentioned software, along temperature. only output belongs predicted which low MAE equal 0.38. based result, it that precisely measures amount

Language: Английский

Citations

9
An efficiency metaheuristic model to predicting customers churn in the business market with machine learning-based DOI Open Access
Rahmad Syah, Rizki Muliono, Muhammad Akbar Siregar

et al.

IAES International Journal of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 13(2), P. 1547 - 1547

Published: April 5, 2024

Metaheuristics is an optimization method that improves and completes a task in short period of time based on its objective function. The goal metaheuristics to search the space for best solution. Machine learning detects patterns large amounts data. encourages enterprise automation variety areas order improve predictive ability without requiring explicit programming make decisions. percentage customers who leave company or stop using service referred as churn. purpose this research forecast customer churn market business. Particle swam (PSO) was used study metaheuristic provide strategy guide process new obtain parameters processing by support vector regression (SVR). SVR predicts value continuous variable determining decision line find value. number transactions, periods, conversion are visible. Efficiency models added prediction results through two optimizations: flexibility risk minimization. findings demonstrate effectiveness reducing

Language: Английский

Citations

2
Performance Analysis of Open-Gate Junction FET: A New Foundry-Based Silicon Transistor for Biochemical Sensing Applications DOI Creative Commons
Abbas Panahi, Ebrahim Ghafar‐Zadeh

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 105403 - 105417

Published: Jan. 1, 2024

This paper investigates the performance and parametric design of a new foundry-based silicon field-effect transistor (FET) sensing platform known as open-gate junction (OG-JFET) for bio/chemical applications. The fabrication process OG-JFET relies on standard foundry process, requiring establishment rules to understand effect crucial sensor factors, including transconductance (g $_{\mathrm {m}}$ ) device efficiency ( notation="LaTeX">$\eta =$ gm/I {ds}}$ ). study examines impact various geometric parameters (e.g., channel length thickness) material-related (such boron phosphorous impurity doping levels) performance. Simulations provide insights guidelines efficient characterization OG-JFET, focusing enhancing gm maximizing $ biosensing Experimental measurements demonstrate current range notation="LaTeX">$\sim ~200~\mu A/ notation="LaTeX">$\mu m, high approximately ~1700~\mu S notation="LaTeX">$340~\mu S/ m), ~4.5$ V−1 (for notation="LaTeX">$5~\mu which are importance circuit application OG-JFET. These results showcase this compared other silicon-based FET platforms internal signal amplification in applications findings offer valuable sensors based technology, enabling gaining into structure Also, we have demonstrated how two can be utilized compare different designs is useful future designers.

Language: Английский

Citations

2