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[HTML][HTML] High-pressure CO2/CH4 separation of Zr-MOFs based mixed matrix membranes
The gas separation properties of 6FDA-DAM mixed matrix membranes (MMMs) with three
types of zirconium-based metal organic framework nanoparticles (MOF NPs, ca. 40 nm) …
types of zirconium-based metal organic framework nanoparticles (MOF NPs, ca. 40 nm) …
Correlations for prediction of hydrogen gas viscosity and density for production, transportation, storage, and utilization applications
C Wei, SMJ Raad, Y Leonenko… - International Journal of …, 2023 - Elsevier
Accurate determination of hydrogen transport properties is essential for hydrogen
production, transportation, storage, and utilization. Different Equations of State (EoS) are …
production, transportation, storage, and utilization. Different Equations of State (EoS) are …
An intelligent approach to predict gas compressibility factor using neural network model
N Azizi, M Rezakazemi, MM Zarei - Neural Computing and Applications, 2019 - Springer
This research illustrates the utilization of a new model based on artificial neural networks
(ANNs) in prediction of compressibility factor (z-factor) of natural gases using experimental …
(ANNs) in prediction of compressibility factor (z-factor) of natural gases using experimental …
A digital shadow framework using distributed system concepts
A AboElHassan, S Yacout - Journal of Intelligent Manufacturing, 2023 - Springer
Digital twin (DT) is a research topic that gained momentum in the Industry 4.0 era. The goal
of DT is to create a virtual real-time intelligent system that is a typical twin of the physical …
of DT is to create a virtual real-time intelligent system that is a typical twin of the physical …
[ספר][B] Petroleum engineering: principles, calculations, and workflows
M Sanni - 2018 - books.google.com
Ein ausführlicher Praxisleitfaden zu Methoden für die Lösung komplexer Probleme in der
Erdöltechnik. In der Erdöltechnik dominieren übergreifende wissenschaftliche und …
Erdöltechnik. In der Erdöltechnik dominieren übergreifende wissenschaftliche und …
New correlation for the gas deviation factor for high-temperature and high-pressure gas reservoirs using neural networks
The gas deviation factor (Z-factor) is an effective thermodynamic property required to
address the deviation of real gas behavior from that of an ideal gas. Empirical models and …
address the deviation of real gas behavior from that of an ideal gas. Empirical models and …
Simulation of gas mixture dynamics in a pipeline network using explicit staggered-grid discretization
We develop an explicit staggered finite difference discretization scheme for simulating the
transport of highly heterogeneous gas mixtures through pipeline networks. This study is …
transport of highly heterogeneous gas mixtures through pipeline networks. This study is …
[HTML][HTML] An efficient method to predict compressibility factor of natural gas streams
The gas compressibility factor, also known as the deviation or Z-factor, is one of the most
important parameters in the petroleum and chemical industries involving natural gas, as it is …
important parameters in the petroleum and chemical industries involving natural gas, as it is …
Machine learning approaches for compressibility factor prediction at high-and low-pressure ranges
AM Salem, M Attia, A Alsabaa, A Abdelaal… - Arabian Journal for …, 2022 - Springer
An accurate value of compressibility factor, also called Z-factor or deviation factor, is
essential for petroleum engineering, especially for reservoir simulation and material balance …
essential for petroleum engineering, especially for reservoir simulation and material balance …
Modelling of methane-rich gas pipeline networks for simulation and control
AJ Wiid, JD Le Roux, IK Craig - Journal of Process Control, 2020 - Elsevier
A non-linear model is developed to capture the transient flow and pressure behaviour of
methane-rich gas (MRG) in industrial pipelines for the use in simulation and control …
methane-rich gas (MRG) in industrial pipelines for the use in simulation and control …