Machine Learning for Scale Deposition in Oil and Gas Industry
This chapter briefly discusses the type of machine learning methods used for scales precipitation in flow assurance. It also discussed the scale formation predictive models. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Published: |
Springer Nature
2023
|
| Online Access: | http://scholars.utp.edu.my/id/eprint/38048/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174765628&doi=10.1007%2f978-3-031-24231-1_6&partnerID=40&md5=2b0b0f29014cdf6f4a0e111a350d63e0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
oai:scholars.utp.edu.my:38048 |
|---|---|
| record_format |
eprints |
| spelling |
oai:scholars.utp.edu.my:380482023-12-11T03:03:04Z http://scholars.utp.edu.my/id/eprint/38048/ Machine Learning for Scale Deposition in Oil and Gas Industry Nallakukkala, S. Lal, B. This chapter briefly discusses the type of machine learning methods used for scales precipitation in flow assurance. It also discussed the scale formation predictive models. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. Springer Nature 2023 Book NonPeerReviewed Nallakukkala, S. and Lal, B. (2023) Machine Learning for Scale Deposition in Oil and Gas Industry. Springer Nature, pp. 105-118. ISBN 9783031242311; 9783031242304 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174765628&doi=10.1007%2f978-3-031-24231-1_6&partnerID=40&md5=2b0b0f29014cdf6f4a0e111a350d63e0 10.1007/978-3-031-24231-1₆ 10.1007/978-3-031-24231-1₆ |
| institution |
Universiti Teknologi Petronas |
| building |
UTP Resource Centre |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Teknologi Petronas |
| content_source |
UTP Institutional Repository |
| url_provider |
http://eprints.utp.edu.my/ |
| description |
This chapter briefly discusses the type of machine learning methods used for scales precipitation in flow assurance. It also discussed the scale formation predictive models. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. |
| format |
Book |
| author |
Nallakukkala, S. Lal, B. |
| spellingShingle |
Nallakukkala, S. Lal, B. Machine Learning for Scale Deposition in Oil and Gas Industry |
| author_facet |
Nallakukkala, S. Lal, B. |
| author_sort |
Nallakukkala, S. |
| title |
Machine Learning for Scale Deposition in Oil and Gas Industry |
| title_short |
Machine Learning for Scale Deposition in Oil and Gas Industry |
| title_full |
Machine Learning for Scale Deposition in Oil and Gas Industry |
| title_fullStr |
Machine Learning for Scale Deposition in Oil and Gas Industry |
| title_full_unstemmed |
Machine Learning for Scale Deposition in Oil and Gas Industry |
| title_sort |
machine learning for scale deposition in oil and gas industry |
| publisher |
Springer Nature |
| publishDate |
2023 |
| url |
http://scholars.utp.edu.my/id/eprint/38048/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174765628&doi=10.1007%2f978-3-031-24231-1_6&partnerID=40&md5=2b0b0f29014cdf6f4a0e111a350d63e0 |
| _version_ |
1787138259944472576 |
| score |
13.214268 |