Gas Flow Research Papers - Academia.edu (original) (raw)

Top Papers
Most Cited Papers
Most Downloaded Papers
Newest Papers
People
- by
- •
- Engineering, Algorithms, Technology, Mass Transfer
- by Jason Holt
- •
- Science, Carbon Nanotube, Multidisciplinary, Pore Size
- by K. Seetharamu
- •
- Engineering, Technology, Biomass gasification, Gas Flow
- by Wuled Lenggoro
- •
- Engineering, Materials Science, Physical sciences, Nickel
- by Antonio Lozano
- •
- Mechanical Engineering, Chemical Engineering, Biomass, Optimization
- by Minh-Chau Huynh
- •
- Engineering, Mechanical Engineering, Chemical Engineering, Biomedical Engineering
- by Kentaro Ito
- •
- Multidisciplinary, Thin Films, Copper, Annealing

Different modifications of the Rushton turbine were studied in a dual-impeller agitated tank (T= 0.4 m), to find the effect of blade form on power draw, turbulent dispersion, gas handling capacity, mixing, gas holdup, and mass-transfer... more

- by Sandra Orvalho
- •
- Engineering, Mass Transfer, Energy Conservation, Industrial
- by Emilio Gomez
- •
- Engineering, Algorithms, Technology, Mass Transfer
- by Michael Fraim
- •
- Fluid flow, Time Dependent, Gas Flow, Curve matching
- by Esin Apaydin Varol
- •
- Mechanical Engineering, Chemical Engineering, Fuel, Nitrogen

Understanding soil gas radon spatial variations can allow the constructor of a new house to prevent radon gas flowing from the ground. Indoor radon concentration distribution depends on many parameters and it is difficult to use its spatial variation to assess radon potential. Many scientists use to measure outdoor soil gas radon concentrations to assess the radon potential. Geostatistical methods provide us a valuable tool to study spatial structure of radon concentration and mapping. To explore the structure of soil gas radon concentration within an area in south Italy and choice a kriging algorithm, we compared the prediction performances of four different kriging algorithms: ordinary kriging, lognormal kriging, ordinary multi-Gaussian kriging, and ordinary indicator cokriging. Their results were compared using an independent validation data set. The comparison of predictions was based on three measures of accuracy: (1) the mean absolute error, (2) the mean-squared error of prediction; (3) the mean relative error, and a measure of effectiveness: the goodness-of-prediction estimate. The results obtained in this case study showed that the multi-Gaussian kriging was the most accurate approach among those considered. Comparing radon anomalies with lithology and fault locations, no evidence of a strict correlation between type of outcropping terrain and radon anomalies was found, except in the western sector where there were granitic and gneissic terrain. Moreover, there was a clear correlation between radon anomalies and fault systems.

- by Gabriele Buttafuoco
- •
- Algorithms, Environmental Monitoring, Multidisciplinary, Italy
- by Tariq Mahmud
- •
- Chemical Engineering, Mass Transfer, Swirling Flow, Chemical Engineering Design
- by Ahsan Ali
- •
- Materials Engineering, Mechanical Engineering, Civil Engineering, Power Plant
- by Fabiola Nava
- •
- Chemical Engineering, Thermodynamics, Minerals Engineering, Experimental Design
- by Sivaraman Savithri
- •
- Engineering, Chemical Engineering, Design, Computational Fluid Dynamics
- by Tan Nguyen
- •
- Mechanical Engineering, Applied Mathematics, Modeling, Modeling and Simulation

This paper addresses several issues related to the modeling and experimental design of relative permeabilities used for simulating gas condensate well deliverability. Based on the properties of compositional flow equations, we make use of the fact that relative permeability ratio k rg/k ro is a purely thermodynamic variable, replacing saturation, when flow is steady-state. The key relation defining steady-state flow in gas condensate wells is relative permeability k rg as a function of k rg/k ro. Consequently, determination of saturation and k r as a function of saturation is not important for this specific calculation. Once the k rg=f(k rg/k ro) relationship is experimentally established and correlated with capillary number (N c), accurate modeling of condensate blockage is possible. A generalized model is developed for relative permeability as the function of k rg/k ro and capillary number. This model enables us to link the ‘immiscible’ or ‘rock’ curves with ‘miscible’ or 'straight-line’ curves by a transition function dependent on the capillary number. This model is also extended to the case of high-rate, inertial gas flow within the steady-state condensate blockage regionand locally at the wellbore. We have paid particular attention to the effect of hysteresis on the relation k rg=f(k rg/k ro), based on our observation that many repeated cycles of partial/complete imbibition and drainage occur in the near-well region during the life of a gas condensate well. Finally, the composite effect of condensate blockage is handled using a ‘Muskat’ pseudopressure model, where relative permeabilities are corrected for the positive effect of capillary number dependence and the negative effect of inertial high velocity flow. Special steady-state experimental procedures have been developed to measure k rg as a function of k rg/k ro and N c. Saturations, though they can be measured, are not necessary. An approach for fitting steady-state gas condensate relative permeability data has been developed and used for modeling relative permeability curves.

- by Øivind Fevang
- •
- Chemical Engineering, Civil Engineering, Applied Mathematics, Thermodynamics
- by Tan Nguyen
- •
- Mechanical Engineering, Applied Mathematics, System Dynamics, Modeling and Simulation

- by Øivind Fevang
- •
- Chemical Engineering, Civil Engineering, Applied Mathematics, Thermodynamics
- by E. Camargo and +1
- •
- Product Model, Production Control, Pressure Drop, Perforation
- by Carlos Bordons
- •
- Engineering, Modeling, Fluid Dynamics, Optimization
- by Eissa Alsafran
- •
- Pipeline, Standard Deviation, Correlation, Hydrodynamics
- by Elisabetta Brunazzi and +1
- •
- Mechanical Engineering, Chemical Engineering, Computational Fluid Dynamics, Turbulence
- by Mustafa Ezzat
- •
- Engineering, Adsorption, Natural Gas, Molecular Sieve
- by Antonius Indarto
- •
- Carbon Dioxide, Global Warming, Methanol, Dielectrics
- by Philippe Heynderickx
- •
- Environmental Engineering, Chemical Engineering, Kinetics, DNA
- by Antonius Indarto
- •
- Engineering, Water, Carbon Dioxide, Air pollution
- by Alejandro Ortiz
- •
- Mechanical Engineering, Chemical Engineering, Performance, System Analysis
- by Giuseppe Pascazio
- •
- Mechanical Engineering, Applied Mathematics, High Pressure, Numerical Method
- by Nazdaneh Yarahmadi
- •
- Materials Engineering, Chemical Engineering, Comparative Study, POlymer degradation and stability
- by Alberto Guardone
- •
- Chemical Engineering, Thermodynamics, Classical Physics, Gas Dynamics
- by Prayad Pokethitiyook
- •
- Process biochemistry, Hydrogen Sulfide, Dissolved Oxygen, Retention Time
- by Pradeep Bansal
- •
- Mechanical Engineering, Indoor Air Quality, Air flow, Interdisciplinary Engineering
- by Fuat Kaya
- •
- Chemical Engineering, Two Phase Flow, Numerical Simulation, Swirling Flow
- by Ioannis Mikellides
- •
- Oscillations, Contact area, Low Mach Number, Gas Flow
- by Ibrahim S Nashawi
- •
- Time Use, Natural Gas, Petroleum science, Gas Flow
- by Alejandro Lopez
- •
- Mechanical Engineering, Chemical Engineering, Steam Methane Reforming, Methane
- by Nikolaus Supersberger and +2
- •
- Carbon Dioxide, Technology Assessment, Natural Gas, Fossil Fuels

Nebulizers are widely used for the inhalation of drug solutions in a variety of respiratory diseases. The efficacy of nebulizer therapy is influenced by a great number of factors, including the design of the device and the characteristics of the drug solution. Incorrect cleaning, maintenance and disinfection procedures may change the nebulizer performance in time, whereas patient factors can influence the lung deposition of the generated aerosol. In this review the technical aspects of nebulization of drug solutions will be discussed. Two main parameters are generally used to evaluate the performance of nebulizers: the droplet size distribution of the aerosol and the drug output rate. The droplet size distribution and the drug output rate are basically determined by the design and user conditions of the nebulizer. A higher gas flow of the compressor in a jet nebulizer or a higher vibration frequency of the piezo electric crystal in an ultrasonic nebulizer, decreases the droplet size...

- by Harry Heijerman and +1
- •
- Drug delivery, Clinical Practice, Humans, Respiratory Disease
- by Mark Cross
- •
- Chemical Engineering, Heat Transport, Flow Control, Minerals Engineering
- by Jože Kotnik
- •
- Mechanical Engineering, Chemical Engineering, Recycling, Sampling
- by Tsung-Wen Chien
- •
- Algorithms, Kinetics, Environmental Monitoring, Acid Rain

A comprehensive two-dimensional mathematical model was developed for the transport of carbon dioxide through hollow fiber membrane (HFM) contactors in the presence of chemical solvent. The model considered both “partial and complete wetting” conditions where the solvent partially or completely filled the membrane pores. Laminar parabolic velocity profile was used for the solvent flow in the tube side; whereas, the gas flow in the shell side was characterized by Happel's free surface model. Axial and radial diffusion inside the fiber, through the membrane, and within the shell side of the contactor were considered. Experimental data were obtained to validate the model for carbon dioxide removal from CO2/CH4 gas mixture using polypropylene (PP) membrane contactor with monoethanol amine (MEA) and sodium hydroxide (NaOH) solutions as solvents. For CO2–MEA system with “complete wetting” conditions, the modeling predictions were in good agreement with the experimental results for diff...

- by Muftah El-Naas
- •
- Chemical Engineering, Analytical Chemistry, Carbon Dioxide, Separation
- by Gabriel Nunes
- •
- Two Phase Flow, Optimization Problem, Conceptual Design, Case Study
- by Avdhesh Sharma
- •
- Mechanical Engineering, Renewable Energy, Biomass, Performance