Machine Learning in Asphaltenes Mitigation
The issue of Asphaltenes formation inside the pipeline is a major concern in flow assurance industry. These are complex polar molecules with high molecÂular weights. Asphaltenes mitigation is required as they disrupt the normal operÂation of the pipeline. Industry employs mechanical, ultrasonic, t...
Saved in:
Main Authors: | Qasim, A., Lal, B. |
---|---|
Format: | Book |
Published: |
Springer Nature
2023
|
Online Access: | http://scholars.utp.edu.my/id/eprint/38046/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174771837&doi=10.1007%2f978-3-031-24231-1_5&partnerID=40&md5=e838d18c33e97deb738b9f509b8bd38e |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning in Asphaltenes Mitigation
by: Qasim, Ali, et al.
Published: (2023) -
Application of Ionic Liquids in Wax, Scale and Asphaltene Deposition Control
by: Lal, Bhajan, et al.
Published: (2021) -
Machine Learning Application in Gas Hydrates
by: Qasim, A., et al.
Published: (2023) -
Asphaltene Removal – The Effect of Ionic Liquid to Asphaltene Characteristics
by: Siti Sarah binti Marjunit, Siti Sarah
Published: (2009) -
Quantification of asphaltene precipitation by scaling equation
by: Janier, J.B., et al.
Published: (2015)