Prediction of Corrosion in Pipeline by using Deep Learning
The inspection of corrosion in the pipeline need to be implemented and maintained by the oil and gas company in order to transport various type of crude oil or natural gas over short and long distance. This is because, the corrosion rate could give significant impact on inside and outside of t...
Saved in:
| Main Author: | BAHARUDIN, NUR FARAHIN |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.21765 / |
| Published: |
IRC
2020
|
| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/21765/1/23227_Nur%20Farahin%20Baharudin.pdf http://utpedia.utp.edu.my/21765/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Prediction Model for Corrosion Damage Due to Naphthenic Acid on Oil and Gas Pipelines Using Linear Regression
by: Saharum, Muhammad Syafiq
Published: (2020) -
Prediction of Remaining Useful Life (RUL) in Refinery using
Deep Learning
by: Baharadin, Hazirah
Published: (2019) -
DEEP LEARNING-BASED TRAFFIC LIGHT DETECTOR
by: ISMAIL, NUR HIDAYAH
Published: (2020) -
Prediction of Machine Failure by Using Machine Learning Algorithm
by: Fakhrurazi, Nur Amalina
Published: (2019) -
Pipeline Corrosion Prediction Due To Naphthenic Acid Using Auto Regressive Integrated Moving Average Method (Arima)
by: ALI, NURUL FATIHAH AZWANI
Published: (2019)