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 …

Extraction of time-domain characteristics and selection of effective features using correlation analysis to increase the accuracy of petroleum fluid monitoring systems

AM Mayet, SM Alizadeh, KS Nurgalieva, R Hanus… - Energies, 2022 - mdpi.com
In the current paper, a novel technique is represented to control the liquid petrochemical and
petroleum products passing through a transmitting pipe. A simulation setup, including an X …

Improved artificial neural network with high precision for predicting burnout among managers and employees of start-ups during COVID-19 pandemic

S Sutrisno, N Khairina, RBY Syah, E Eftekhari-Zadeh… - Electronics, 2023 - mdpi.com
Notwithstanding the impact that the Coronavirus pandemic has had on the physical and
psychological wellness of people, it has also caused a change in the psychological …

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 …

Applications of discrete wavelet transform for feature extraction to increase the accuracy of monitoring systems of liquid petroleum products

M Balubaid, MA Sattari, O Taylan, AA Bakhsh… - Mathematics, 2021 - mdpi.com
This paper presents a methodology to monitor the liquid petroleum products which pass
through transmission pipes. A simulation setup consisting of an X-ray tube, a detector, and a …

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 …

Applying data mining and artificial intelligence techniques for high precision measuring of the two-phase flow's characteristics independent of the pipe's scale layer

AM Mayet, AS Salama, SM Alizadeh, S Nesic… - Electronics, 2022 - mdpi.com
Scale formation inside oil and gas pipelines is always one of the main threats to the
efficiency of equipment and their depreciation. In this study, an artificial intelligence method …

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 …

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 …