Application of artificial neural network to multiphase flow metering: A review
S Bahrami, S Alamdari, M Farajmashaei… - Flow Measurement and …, 2024 - Elsevier
Multiphase flow has many applications, such as oil and gas industries. Flow meter devices
must be calibrated with field or laboratory data. One of the best methods to calibrate the …
must be calibrated with field or laboratory data. One of the best methods to calibrate the …
Application of selected methods of computational intelligence to recognition of the liquid–gas flow regime in pipeline by use gamma absorption and frequency domain …
Two-phase liquid–gas flows are common in industries such as mining, energy, chemicals,
and oil. The gamma-ray absorption technique is a non-contact method widely used to …
and oil. The gamma-ray absorption technique is a non-contact method widely used to …
Deep neural network modeling for accurate electric motor temperature prediction
S Hosseini, A Shahbandegan… - 2022 IEEE Canadian …, 2022 - ieeexplore.ieee.org
Electric motors are becoming widely used in many different applications, such as electric
cars, and turbines. Measuring the temperature of internal components of an electric motor …
cars, and turbines. Measuring the temperature of internal components of an electric motor …
Regime independent flow rate prediction in a gas-liquid two-phase facility based on gamma ray technique and one detector using multi-feature extraction
One of the key challenges in petroleum related industries is how to precisely measure the
flow rates of individual phases in a pipeline. To address this challenge, in the present study …
flow rates of individual phases in a pipeline. To address this challenge, in the present study …
[HTML][HTML] Artificial Intelligence Techniques for the Hydrodynamic Characterization of Two-Phase Liquid–Gas Flows: An Overview and Bibliometric Analysis
JA Gomez Camperos, MM Hernández Cely… - Fluids, 2024 - mdpi.com
Accurately and instantly estimating the hydrodynamic characteristics in two-phase liquid–
gas flow is crucial for industries like oil, gas, and other multiphase flow sectors to reduce …
gas flow is crucial for industries like oil, gas, and other multiphase flow sectors to reduce …
Identification of the Structure of Liquid–Gas Flow in a Horizontal Pipeline Using the Gamma-Ray Absorption and a Convolutional Neural Network
Knowledge of the liquid–gas flow regime is important for the proper control of many
industrial processes (eg, in the mining, nuclear, petrochemical, and environmental …
industrial processes (eg, in the mining, nuclear, petrochemical, and environmental …
Xcrum: A Synergistic Approach Integrating Extreme Programming with Scrum
S Hosseini - arXiv preprint arXiv:2310.03248, 2023 - arxiv.org
In today's modern world, software plays a pivotal role. Software development is a highly
complex and time-consuming process, demanding multidimensional efforts. Companies …
complex and time-consuming process, demanding multidimensional efforts. Companies …
Advanced deep regression models for smart operation of the oil and gas industry
S Hosseini - 2023 - knowledgecommons.lakeheadu.ca
The first industrial revolution in the early 18th century largely exploited steam power to
replace animal labor. Since then, there has been rapid development in industrial operations …
replace animal labor. Since then, there has been rapid development in industrial operations …
Application of the convolutional neural network to recognition of the two-phase water-air flow regime in a pipeline using histograms of radiometric signals*
In this work, the Convolutional Neural Network VGG-16 is applied for the analysis of
histogram images of signals obtained for liquid-gas flow by using gamma-ray absorption …
histogram images of signals obtained for liquid-gas flow by using gamma-ray absorption …
[PDF][PDF] Advanced Deep Regression Models for Oil Production Forecast
S Hosseini, T Akilan, B Rafiq - assets.pubpub.org
Global oil demand rapidly increases and is expected to reach 106.3 million barrels per day
by 2040. Thus, hydrocarbon extraction industries need to forecast their production to …
by 2040. Thus, hydrocarbon extraction industries need to forecast their production to …