Application of neural network and time-domain feature extraction techniques for determining volumetric percentages and the type of two phase flow regimes …

AK Alanazi, SM Alizadeh, KS Nurgalieva, S Nesic… - Applied Sciences, 2022 - mdpi.com
One of the factors that significantly affects the efficiency of oil and gas industry equipment is
the scales formed in the pipelines. In this innovative, non-invasive system, the inclusion of a …

Experimental study of void fraction measurement using a capacitance-based sensor and ANN in two-phase annular regimes for different fluids

A Veisi, MH Shahsavari, GH Roshani… - Axioms, 2023 - mdpi.com
One of the most severe problems in power plants, petroleum and petrochemical industries is
the accurate determination of phase fractions in two-phase flows. In this paper, we carried …

Introducing a precise system for determining volume percentages independent of scale thickness and type of flow regime

AM Mayet, SM Alizadeh, ZA Kakarash, AA Al-Qahtani… - Mathematics, 2022 - mdpi.com
When fluids flow into the pipes, the materials in them cause deposits to form inside the pipes
over time, which is a threat to the efficiency of the equipment and their depreciation. In the …

Proposing an intelligent technique based on radial basis function neural network to forecast the energy spectrum of diagnostic X-ray imaging systems

C Zhanjian, J Zheng, L Shan, W Wei, W Zhu… - Applied Radiation and …, 2023 - Elsevier
In digital subtraction angiography (digital subtraction total cerebral angiography), cardiac
and macrovascular cardiography, anorectal radiology, fluoroscopy, and computed …

Employing GMDH-type neural network and signal frequency feature extraction approaches for detection of scale thickness inside oil pipelines

AM Iliyasu, AM Mayet, R Hanus, AAA El-Latif… - Energies, 2022 - mdpi.com
In this paper, gamma attenuation has been utilised as a veritable tool for non-invasive
estimation of the thickness of scale deposits. By simulating flow regimes at six volume …

CAD system for intelligent grading of COVID-19 severity with green computing and low carbon footprint analysis

IS Farahat, W Aladrousy, M Elhoseny, AE Tolba… - Expert Systems with …, 2023 - Elsevier
Abstract The Coronavirus Disease (COVID-19) caused a lot of mortality. The high mortality
rate occurred because of the physicians' wrong or late identification of COVID-19 severity …

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 …

Using particle swarm optimization and artificial intelligence to select the appropriate characteristics to determine volume fraction in two-phase flows

AM Iliyasu, AS Benselama, DK Bagaudinovna… - Fractal and …, 2023 - mdpi.com
Global demand for fossil fuels has increased the importance of flow measurement in the oil
sector. As a result, a new submarket in the flowmeter business has opened up. To improve …

[HTML][HTML] Improvement in measurement of radiation based two-phase flowmeters independent of flow regime and scale thickness using ant colony optimization and …

AM Mayet, EI Gorelkina, J AlShaqsi… - Nuclear Engineering …, 2024 - Elsevier
The formation of scales in pipes is one element that has a major impact on the efficiency of
machinery used in the oil and gas sector. With the help of artificial intelligence, this new, non …

A methodology for analysis and prediction of volume fraction of two-phase flow using particle swarm optimization and group method of data handling neural network

AM Iliyasu, DK Bagaudinovna, AS Salama… - Mathematics, 2023 - mdpi.com
Determining the volume percentages of flows passing through the oil transmission lines is
one of the most essential problems in the oil, gas, and petrochemical industries. This article …