Using Ant Colony Optimization as a Method for Selecting Features to Improve the Accuracy of Measuring the Thickness of Scale in an Intelligent Control System

AM Mayet, VPT Ijyas, JK Bhutto, JWG Guerrero… - Processes, 2023 - mdpi.com
The scaling of oil pipelines over time leads to issues including diminished flow rates, wasted
energy, and decreased efficiency. To take appropriate action promptly and avoid the …

The use of artificial intelligence and time characteristics in the optimization of the structure of the volumetric percentage detection system independent of the scale …

TC Chen, AM Iliyasu, SM Alizadeh… - Applied Artificial …, 2023 - Taylor & Francis
When scale builds up in a transmission pipeline, it narrows the pipe's interior and causes
losses in both power and efficiency. A noninvasive instrument based on gamma-ray …

Application of Artificial Intelligence for Determining the Volume Percentages of a Stratified Regime's Three-Phase Flow, Independent of the Oil Pipeline's Scale …

AM Mayet, TC Chen, SM Alizadeh, AA Al-Qahtani… - Processes, 2022 - mdpi.com
As time passes, scale builds up inside the pipelines that deliver the oil or gas product from
the source to processing plants or storage tanks, reducing the inside diameter and ultimately …

Usage of radial basis function neural network for dual-energy radiative detection system for measuring the oil pipelines scale layer

AM Mayet, EI Gorelkina, MS Daoud, MR Raja… - Flow Measurement and …, 2024 - Elsevier
Scaling oil pipelines over time leads to issues including diminished flow rates, wasted
energy, and decreased efficiency. In order to take preventative measures in a timely manner …

Increasing the efficiency of a control system for detecting the type and amount of oil product passing through pipelines based on gamma-ray attenuation, time domain …

AM Mayet, SM Alizadeh, ZA Kakarash, AA Al-Qahtani… - Polymers, 2022 - mdpi.com
Instantaneously determining the type and amount of oil product passing through pipelines is
one of the most critical operations in the oil, polymer and petrochemical industries. In this …

Predicting Scale Thickness in Oil Pipelines Using Frequency Characteristics and an Artificial Neural Network in a Stratified Flow Regime

TC Chen, AM Iliyasu, R Hanus, AS Salama, K Hirota - Energies, 2022 - mdpi.com
One of the main problems in oil fields is the deposition of scale inside oil pipelines, which
causes problems such as the reduction of the internal diameter of oil pipes, the need for …

Application of neural network and dual-energy radiation-based detection techniques to measure scale layer thickness in oil pipelines containing a stratified regime of …

AM Mayet, TC Chen, I Ahmad, E Tag Eldin… - Mathematics, 2022 - mdpi.com
Over time, oil pipes are scaled, which causes problems such as a reduction in the effective
diameter of the oil pipe, an efficiency reduction, waste of energy, etc. Determining the exact …

Enhanced Gamma-Ray Attenuation-Based Detection System Using an Artificial Neural Network

E Eftekhari-Zadeh, AS Bensalama, GH Roshani… - Photonics, 2022 - mdpi.com
Scale deposition is the accumulation of various materials in the walls of transmission lines
and unwanted parts in the oil and gas production system. It is a leading moot point in all …

Inorganic scale thickness prediction in oil pipelines by gamma-ray attenuation and artificial neural network

TP Teixeira, CM Salgado, RSF Dam… - Applied Radiation and …, 2018 - Elsevier
Scale can be defined as chemical compounds that are inorganic, initially insoluble, and
precipitate accumulating on the internal walls of pipes, surface equipment, and/or parts of …

Proposing a high-precision petroleum pipeline monitoring system for identifying the type and amount of oil products using extraction of frequency characteristics and a …

AM Mayet, KS Nurgalieva, AA Al-Qahtani… - Mathematics, 2022 - mdpi.com
Setting up pipelines in the oil industry is very costly and time consuming. For this reason, a
pipe is usually used to transport various petroleum products, so it is very important to use an …