Application of Gaussian Process Regression (GPR) in Gas Hydrate Mitigation
The production of oil and natural gas contributes to a significant amount of revenue generation in Malaysia thereby strengthening the country�s economy. The flow assurance industry is faced with impediments during smooth operation of the transmission pipeline in which gas hydrate formation is the...
Saved in:
Main Authors: | Suresh, S.D., Qasim, A., Lal, B., Imran, S.M., Foo, K.S. |
---|---|
Format: | Article |
Published: |
Penerbit Akademia Baru
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119695627&doi=10.37934%2farfmts.88.2.2737&partnerID=40&md5=3a0ce37f13520bc62417f41c405c74d0 http://eprints.utp.edu.my/29633/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
APPLICATION OF GAUSSIAN PROCESS REGRESSION (GPR) IN GAS HYDRATE MITIGATION
by: SURESH, SACHIN DEV
Published: (2021) -
Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models
by: Elbeltagi A., et al.
Published: (2024) -
Machine Learning Application in Gas Hydrates
by: Qasim, A., et al.
Published: (2023) -
Machine Learning Application in Gas Hydrates
by: Qasim, Ali, et al.
Published: (2023) -
Ionic liquids for the inhibition of gas hydrates. A review
by: Ul Haq, I., et al.
Published: (2022)