Microfluidic testing of flocculants for produced water treatment: Comparison with other methodologies

Dudek, Marcin; Ullaland, Hanne Skudal; Wehrle, Amandine; Øye, Gisle

doi:10.1016/j.wroa.2020.100073

Cited by 16 publications

(10 citation statements)

References 25 publications

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“…85−87 However, in PW systems, polymeric flocculants are more popular. 88 It has also been widely reported that the electrolyte concentration affects bubble sizes. 50,89−92 Furthermore, it has been demonstrated that the gas bubbles become much smaller above a certain critical salinity concentration, leading to more efficient gas dispersion.…”

Section: Water Composition 3221 Dissolved Organics In Pwmentioning

confidence: 98%

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Gas Flotation of Petroleum Produced Water: A Review on Status, Fundamental Aspects, and Perspectives

et al. 2020

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Produced water is a major byproduct in oil production and the largest waste stream generated in the petroleum industry. At the Norwegian Continental Shelf, produced water is still mostly discharged to the sea, but some installations re-inject produced water into the reservoir for pressure support or disposal. Gas flotation is a separation technology widely used both onshore and offshore that generally reduces the oil concentration to <25 ppmv. It is also a promising technology for subsea water treatment. The aim of this review is to give an overview and provide a link between the industrial use and the fundamental aspects of gas flotation. The industrial analysis examines the development and design of gas flotation technologies: induced, dissolved, and compact flotation units. Several aspects of subsea water separation are also discussed. The fundamental aspects are dedicated to the fluid dynamics of bubble−droplet collisions and the phenomena involved after their encounter, i.e., film drainage, forces involved in this process, and spreading of oil on the surface of gas bubbles. Moreover, a detailed analysis of parameters that can affect gas flotation, like gas bubble and oil droplet sizes, droplet−bubble attachment mechanisms, interfacial properties, water composition, oil and gas properties, pressure, and temperature, is provided.

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Section: Water Composition 3221 Dissolved Organics In Pwmentioning

confidence: 98%

“…To promote droplet–droplet coalescence, coagulants containing the trivalent ions Al 3+ and Fe 3+ can be added to the system. − However, in PW systems, polymeric flocculants are more popular …”

Section: Microscopic Aspects Of Gas Flotationmentioning

confidence: 99%

Gas Flotation of Petroleum Produced Water: A Review on Status, Fundamental Aspects, and Perspectives

et al. 2020

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“…Similarly, Allison and Mandler [4] stated that on the average, 10 barrels of wastewater is generated for each barrel of crude oil processed. These large volumes of wastewater produced during petroleum production is either discharged into the sea or re-injected into production or disposal reservoirs [15] or for reuse purposes. The contaminants in the produced water are harmful to human, plants, animals [16] as well as public health and the environment are threatened by its presence [17].…”

Section: Significant Of Crude Oil Processed Water On the Environmentmentioning

confidence: 99%

Green Technology for Crude Oil Processed Water Treatment: A Practical Approach for Nigeria Petroleum Industry

Mustapha¹

2022

Crude Oil - New Technologies and Recent Approaches

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Cleaner production is the key to environmental sustainability. Conversion of crude oil to various beneficial products is responsible for the contamination of air, water, and soil which are harmful to human, plants, animals, public health and the environment. Adequately treating produced water is beneficial for irrigation, wildlife consumption, industrial water and for domestic purposes. Therefore, green technology for treatment of crude oil processed water would provide the environmental friendliness needed for prolong utilization of our natural resources. Hence, the aim of this book chapter is to investigate the potentials of constructed wetland as a promising, effective and environmentally friendly alternative for secondary petroleum refinery wastewater treatment. Planted and unplanted mesocosm scale experiment with real secondary refinery wastewater was used for the purpose of the study. The parameters investigated were temperature, pH, dissolved oxygen, electrical conductivity, total suspended solids, carbon oxygen demand, total petroleum hydrocarbon and oil and grease. The results revealed that Typha latifolia planted VSSF CWs effectively treated organic contaminants in secondary refinery wastewater with a better performance than the unplanted control VSSF CWs. The chromatographs for wastewater and T. latifolia samples showed a hydrocarbon distribution between n-C9 to n-C24 indicating abundance of lower weight hydrocarbon contamination.

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“…Subsequent to droplet generation in microfluidics, the various types of downstream droplet interaction are numerous and often the end goal of a microfluidic experiment, depending on the application. In most of our previous reports [51,65], we focused on their coalescence or generally the interactions with other droplets. Here, we will showcase the analysis capabilities and symmetry to prior techniques using various CNNs on systems of freely flowing droplets, where the average diameter is smaller than the relatively large width (approximately 500 µm) of non-constrained flow cells.…”

Section: Flow Cellsmentioning

confidence: 99%

Microfluidic Droplet Detection via Region-Based and Single-Pass Convolutional Neural Networks with Comparison to Conventional Image Analysis Methodologies

Rutkowski¹,

Azizov²,

Unmann³

et al. 2021

Preprint

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As the complexity of microfluidic experiments and the associated image data volumes scale, traditional feature extraction approaches begin to struggle at both detection and analysis pipeline throughput. Deep-neural networks trained to detect certain objects are rapidly emerging as data gathering tools that can either match or outperform the analysis capabilities of the conventional methods used in microfluidic emulsion science. We demonstrate that various convolutional neural networks can be trained and used as droplet detectors in a wide variety of microfluidic systems. A generalized microfluidic droplet training and validation dataset was developed and used to tune two versions of the You Only Look Once (YOLOv3/YOLOv5) model as well as Faster R-CNN. Each model was used to detect droplets in mono- and polydisperse flow cell systems. The detection accuracy of each model shows excellent statistical symmetry with an implementation of the Hough transform as well as relevant ImageJ plugins. The models were successfully used as droplet detectors in non-microfluidic micrograph observations, where these data were not included in the training set. The models outperformed the traditional methods in more complex, porous-media simulating chip architectures with a significant speedup to per-frame analysis times. Implementing these neural networks as the primary detectors in these microfluidic systems not only makes the data pipelining more efficient, but opens the door for live detection and development of autonomous microfluidic experimental platforms. <br>

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Microfluidic testing of flocculants for produced water treatment: Comparison with other methodologies

Cited by 16 publications

References 25 publications

Gas Flotation of Petroleum Produced Water: A Review on Status, Fundamental Aspects, and Perspectives

Gas Flotation of Petroleum Produced Water: A Review on Status, Fundamental Aspects, and Perspectives

Green Technology for Crude Oil Processed Water Treatment: A Practical Approach for Nigeria Petroleum Industry

Microfluidic Droplet Detection via Region-Based and Single-Pass Convolutional Neural Networks with Comparison to Conventional Image Analysis Methodologies

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