<div class="csl-bib-body">
<div class="csl-entry">Arnold, T., De Biasio, M., Bereczki, T., Oliveira, B., Frank, F., Freitag, S., & Lendl, B. (2023). Development of a particle analysis system for the process water of the petrochemical industry using hyperspectral imaging, white-light imaging, and fluorescence imaging. In M. Velez-Reyes & D. W. Messinger (Eds.), <i>Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX</i>. SPIE. https://doi.org/10.1117/12.2663912</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/192536
-
dc.description.abstract
The process water of the petrochemical industry contains particles and oil droplets which need to be removed by the water treatment process before the water can safely be reinjected into the well. For the detection and analysis of the particles and oil droplets a particle analysis system based on hyperspectral imaging, fluorescence imaging and white-light imaging has been developed. The particle and droplet size range for this application varies from 5 μm to 150 μm. Currently used particle analyzers use monochrome cameras with backlight illumination. The thereby obtained monochromatic image is used to derive shape and size of the particles and droplets, but no chemical information. The shape information is used to differentiate between solid particles and oil droplets. The solid particles appear black in the images and therefore a more detailed analysis of their material is not possible. The combination of different imaging systems presented in this work allow for a more detailed and robust analysis of the particles and oil droplets in the process water. The fluorescence imaging system is used for a reliable detection of the oil droplets. The white-light imaging system and hyperspectral imaging system acquire high quality color information of particles and oil droplets. This information is vital for the process water treatment during oil production. An ultrasound particle manipulation system is used to guide the particles and oil droplets into the focal plane of the imaging systems. The alpha version of the particle analysis system and the initial results of measurements on solid particles and oil droplets in aqueous suspension are presented.
en
dc.description.sponsorship
European Commission
-
dc.language.iso
en
-
dc.subject
hyperspectral imaging
en
dc.subject
oil droplets
en
dc.subject
Particle analysis
en
dc.subject
petrochemical industry
en
dc.subject
uorescence imaging
en
dc.title
Development of a particle analysis system for the process water of the petrochemical industry using hyperspectral imaging, white-light imaging, and fluorescence imaging
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.publication
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX
-
dc.contributor.affiliation
Silicon Austria Labs, Austria
-
dc.contributor.affiliation
Silicon Austria Labs
-
dc.contributor.affiliation
Silicon Austria Labs
-
dc.contributor.affiliation
Silicon Austria Labs
-
dc.contributor.editoraffiliation
The University of Texas at El Paso, United States of America (the)
-
dc.contributor.editoraffiliation
Rochester Institute of Technology, United States
-
dc.relation.isbn
9781510661523
-
dc.relation.issn
0277-786X
-
dc.relation.grantno
871529
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imaging XXIX
-
tuw.container.volume
12519
-
tuw.relation.publisher
SPIE
-
tuw.book.chapter
125190
-
tuw.project.title
Photonics sensing platform for process optimisation in the oil industry
-
tuw.researchTopic.id
E4
-
tuw.researchTopic.name
Environmental Monitoring and Climate Adaptation
-
tuw.researchTopic.value
100
-
tuw.publication.orgunit
E164-02-1 - Forschungsgruppe Prozessanalytik
-
tuw.publisher.doi
10.1117/12.2663912
-
tuw.author.orcid
0000-0002-3656-1737
-
tuw.author.orcid
0000-0003-0179-2217
-
tuw.author.orcid
0000-0003-3838-5842
-
tuw.editor.orcid
0000-0002-6983-7250
-
tuw.event.name
SPIE Defense + Commercial Sensing (2023)
en
tuw.event.startdate
30-04-2023
-
tuw.event.enddate
05-05-2023
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
Orlando, Florida
-
tuw.event.country
US
-
tuw.event.institution
SPIE
-
tuw.event.presenter
Arnold, Thomas
-
wb.sciencebranch
Chemie
-
wb.sciencebranch.oefos
1040
-
wb.sciencebranch.value
100
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.fulltext
no Fulltext
-
item.cerifentitytype
Publications
-
item.grantfulltext
none
-
item.openairetype
conference paper
-
item.languageiso639-1
en
-
crisitem.author.dept
Silicon Austria Labs, Austria
-
crisitem.author.dept
Silicon Austria Labs
-
crisitem.author.dept
Silicon Austria Labs
-
crisitem.author.dept
Silicon Austria Labs
-
crisitem.author.dept
E164-02-1 - Forschungsgruppe Prozessanalytik
-
crisitem.author.dept
E164-02-1 - Forschungsgruppe Prozessanalytik
-
crisitem.author.dept
E164-02 - Forschungsbereich Umwelt-, Prozessanalytik und Sensoren
-
crisitem.author.orcid
0000-0002-3656-1737
-
crisitem.author.orcid
0000-0002-7584-5812
-
crisitem.author.orcid
0000-0003-0179-2217
-
crisitem.author.orcid
0000-0003-3838-5842
-
crisitem.author.parentorg
E164-02 - Forschungsbereich Umwelt-, Prozessanalytik und Sensoren
-
crisitem.author.parentorg
E164-02 - Forschungsbereich Umwelt-, Prozessanalytik und Sensoren
-
crisitem.author.parentorg
E164 - Institut für Chemische Technologien und Analytik