scholarly journals Remediation of oil-drilling cuttings by ozonation in semibatch bubble column reactors

2021 ◽  
Vol 899 (1) ◽  
pp. 012066
Author(s):  
K F Christodoulis ◽  
M A Theodoropoulou ◽  
C D Tsakiroglou
Keyword(s):  
Petroleum Hydrocarbons ◽  
Bubble Column ◽  
Sodium Dodecyl ◽  
Complete Removal ◽  
Total Petroleum Hydrocarbons ◽  
Bubble Column Reactor ◽  
Three Solutions ◽  
Oil Drilling ◽  
Bubble Column Reactors ◽  
Broad Variety

Abstract The remediation of oil-drilling cuttings (ODC), containing a high percentage of total organic carbon (TOC), total petroleum hydrocarbons (TPH) and moisture, is a challenge. Ozonation is an advanced oxidation method able to destruct a broad variety of organic substances from water and soil. Oil-drilling cuttings are pre-treated inside a sonication bath with three solutions of artificial seawater containing 0.0, 0.2, and 0.5% w/w sodium dodecyl sulphate (SDS) which acts as surfactant and favours the solubilisation of hydrocarbons from the solid to the liquid phase. Afterwards, each pre-treated ODC is diluted at a ratio 1:5 with the corresponding type of seawater, and ozonation of the suspension occurs in a bubble column reactor made of poly methyl methacrylate (PMMA). The transient changes of the TOC content in ODC during the various stages of its treatment are measured with the Walkley-Black titration method. It seems that a percentage ~12-25% of TOC dissolves and is transferred from ODC to seawater, while the treatment of ODC suspended in seawater with ozone leads to the complete removal of the TOC after 2 hrs.

Effects of Sparger and Internals Designs on the Local Hydrodynamics in Slurry Bubble Column Reactors Operating under Typical Fischer-Tropsch Process Conditions - I

2017 ◽  
Vol 16 (3) ◽  
Author(s):  
Omar M Basha ◽  
Badie I Morsi
Keyword(s):  
Large Scale ◽  
Bubble Column ◽  
Perforated Plate ◽  
Pilot Scale ◽  
Cfd Modeling ◽  
Bubble Column Reactor ◽  
Process Conditions ◽  
Bubble Column Reactors ◽  
Slurry Bubble Column ◽  
Slurry Bubble Column Reactors

AbstractOur rigorously validated Computational Fluid Dynamics (CFD) model (Basha Omar, M., L. Weng, Z. Men, and I. Morsi Badie. 2016. “CFD Modeling with Experimental Validation of the Internal Hydrodynamics in a Pilot-Scale Slurry Bubble Column Reactor.”International Journal of Chemical Reactor Engineering14(2):599–619), was used to predict the effects of spargers design and internals configuration on the local hydrodynamics and flow structure in a pilot-scale (0.3-m ID) and a large-scale (10-m ID) Slurry Bubble Column Reactors (SBCRs), operating under Fisher-Tropsch (F-T) process conditions. In the pilot-scale SBCR without internals, the 6-arms spider created small/fast liquid recirculations in the vicinity of the sparger and slow/large liquid recirculations at about 1.2 times reactor diameter, whereas, the 3-concentric-rings and perforated plate spargers created slow/large recirculations throughout the reactor. In the pilot-scale SBCR with internals, spargers with downward-pointing orifices created larger Sauter mean bubble diameters (ds), leading to more effective solids suspension when compared with those with upward-pointing orifices. Also, 3-concentric-rings spargers resulted in larger Sauter mean bubble diameter values when compared with those of 6-arms spiders. In the large-scale SBCR provided with a large 3-concentric-rings sparger, the effects of vertical parallel and bundled internals on the local hydrodynamics and flow structures were predicted. Bundled internals led to slower and smaller liquid recirculations, smoother radial gas holdup profiles, larger average gas bubbles size, and smaller local gas holdups, when compared those predicted when using parallel internals.

Numerical Simulation of Hydrodynamics in Slurry Bubble Column Reactor

2013 ◽  
Vol 303-306 ◽  
pp. 2679-2682
Author(s):  
Chen Ning ◽  
Fang Bing Wang
Keyword(s):  
Bubble Column ◽  
Fluid Model ◽  
Flow Behavior ◽  
Bubble Columns ◽  
Bubble Column Reactor ◽  
Sodium Dichromate ◽  
Gas Dispersion ◽  
Bubble Column Reactors ◽  
Slurry Bubble Column ◽  
Solid Suspension

Gas dispersion and solid suspension in industrial size slurry bubble column reactors for producing sodium dichromate are simulated numerically by using of computational fluid dynamics (CFD). The Eulerian multi-fluid model and standard k-ε turbulence model are used to describe the flow behavior in bubble columns. The simulated results show that gas is easy to flow toward the centre of the bubble column and in relatively high local gas holdup there. Installing gas-re-distributors in the bubble column is favorable for gas dispersion. Solid suspension in the bubble columns under the operating condition we investigated is relatively uniform.

scholarly journals Prediction of Flow Characteristics in the Bubble Column Reactor by the Artificial Pheromone-Based Communication of Biological Ants

2019 ◽  
Author(s):  
Shahab Shamshirband ◽  
Meisam Babanezhad ◽  
Amir Mosavi
Keyword(s):  
Bubble Column ◽  
Three Dimensional ◽  
Flow Characteristics ◽  
Ant Colony ◽  
Bubble Column Reactor ◽  
Ant Colony Optimization Algorithm ◽  
Column Reactor ◽  
Bubble Column Reactors ◽  
Ant Behavior ◽  
Probabilistic Technique

In order to perceive the behavior presented by the multiphase chemical reactors,  ant colony optimization algorithm was combined with CFD data. This intelligent algorithm creates a probabilistic technique for computing flow and it can predict various levels of three-dimensional bubble column reactor. This artificial ant algorithms is mimicking the real ant behavior. We found that this method can anticipate the flow characteristics in the reactor using almost 30 % of whole data in the domain. Following discovering the suitable parameters, the method is used for predicting the points not being simulated with CFD, which represent mesh refinement of Ant colony method. In addition, it is possible to anticipate the bubble-column reactors in the absence of numerical results or training of exact values of evaluated data. The major benefits include reduced computational costs and time savings.

Bubble Trajectory in a Bubble Column Reactor using Combined Image Processing and Artificial Neural Network

2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Balachandar Chidambaram ◽  
Arunkumar Seshadri ◽  
Venkatesan Muniyandi
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Artificial Neural Network ◽  
Bubble Column ◽  
Numerical Results ◽  
Newtonian Fluids ◽  
Bubble Column Reactor ◽  
Column Reactor ◽  
Bubble Column Reactors ◽  
Artificial Neural

Abstract The applications of Bubble column reactors in gas-liquid multiphase reactions are widely observed in process industries. Biochemical reactions such as wet oxidation and algae bio-reactions are carried out in bubble column reactors. In this article, an image processing based comprehensive algorithm is developed to identify the trajectory of bubbles in a bubble column reactor. Photographs of bubbles moving up in a bubble column reactor are recorded for different velocities using a high speed camera. An algorithm is developed to plot the trajectory of the bubble. The developed algorithm can be used with experimental and numerical results to trace the trajectory of bubbles. The algorithm is applied to the results of volume of fluids (VOF) simulation to identify the bubble path in Newtonian and non-Newtonian fluids. Based on the algorithm, numerical results obtained on Newtonian fluids are used to train an Artificial Neural Network (ANN) to find the temporal position of the bubble. Superficial fluid velocities, nozzle diameter and time are the input parameters. The trained Levenberg-Marquardt based neural network can find the position of the bubble at any instant of time. The designed algorithm can study the dynamics and position of a bubble in process applications carried out in a bubble column reactor.

Efficiency and Kinetics of Total Petroleum Hydrocarbons (TPHs) Removal from Crude Oil Polluted Arable Soil using Palm Bunch Ash and Tween 80

2021 ◽  
Author(s):  
Godwin James Udo ◽  
Nnanake-Abasi O. Offiong ◽  
Alfreda Nwadinigwe ◽  
Clement O. Obadimu ◽  
Aniedi E. Nyong ◽  
...  
Keyword(s):  
Crude Oil ◽  
Petroleum Hydrocarbons ◽  
Tween 80 ◽  
Arable Soil ◽  
Total Petroleum Hydrocarbons ◽  
Kinetics Of ◽  
Palm Bunch

scholarly journals Concentrating Model Solutions and Fruit Juices Using CO2 Hydrate Technology and Its Quantitative Effect on Phenols, Carotenoids, Vitamin C and Betanin

Foods ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 626
Author(s):  
Alexander Rudolph ◽  
Amna El-Mohamad ◽  
Christopher McHardy ◽  
Cornelia Rauh
Keyword(s):  
Vitamin C ◽  
Food Production ◽  
Bubble Column ◽  
Hydrate Formation ◽  
Fruit Juices ◽  
Bubble Column Reactor ◽  
High Concentration ◽  
Model Solutions ◽  
Concentration Potential ◽  
Concentration Methods

Fruits have an important economic impact in the context of plant-based food production. The consumption of fruit juices, mostly produced from concentrates, is particularly noteworthy. Conventional concentration methods do not always enable a sustainable and gentle concentration. The innovative gas hydrate technology addresses this point with its energy-saving, gentle character, and high concentration potential. In this study, the concentration of fruit juices and model solutions using CO2 hydrate technology was investigated. To find a suitable operating point for hydrate formation in the used bubble column, the hydrate formation in a water–sucrose model solution was evaluated at different pressure and temperature combinations (1, 3, 5 °C and 32.5, 37.5, 40 bar). The degrees of concentration indicate that the bubble column reactor operates best at 37.5 bar and 3 °C. To investigate the gentle processing character of the hydrate technology, its quantitative effects on vitamin C, betanin, polyphenols, and carotenoids were analyzed in the produced concentrates and hydrates via HPLC and UV/VIS spectrophotometry. The results for fruit juices and model solutions imply that all examined substances are accumulated in the concentrate, while only small amounts remain in the hydrate. These amounts can be related to an inefficient separation process.

Sign in / Sign up

Export Citation Format

Share Document