Sign In
Ask UTP

UTP Ignite


Capture.PNG 

Project Leader: Assoc. Prof. Ts. Dr. Izzatdin Abdul Aziz
Co-PI: 
  • Dr. Shakirah M Taib
  • AP. Ts. Dr Hilmi Hasan
  • Prof. Dr. Jafreezal Jaafar
  • Madam Nazleeni Samiha Haron
Team Members:
  • Hajar binti Mohamad Razip
  • Mohamad Kamal
  • Nur Syakirah binti Mohd Jaafar
  • Marym binti Mohamad Razip
  • Kamariah Abu Saed
Department: Computer & Information Science Department (CISD)
Expertise: Big Data Analytics, AI, Machine Learning

Smart Corrosion Rate Predictive Analytics (SMART)

​


TECHNOLOGY READINESS LEVEL: 8
​BRIEF TECHNOLOGY
The ability to accurately predict corrosion build-up in complex piping systems, and pinpoint where exactly to perform the inspection activity in an extremely large refinery complex, provides ahead start solution to avoid hazards and disasters from occurring.
​
i-CORPA1.jpg

PROBLEM STATEMENT & CURRENT ISSUES
  • The ability to accurately predict corrosion build-up in complex piping systems, wall thinning effect, and pinpoint where exactly to perform the inspection activity in an extremely large refinery complex
  • To provide ahead start solution to avoid hazards and disasters from occurring.
  • Ultimately to achieve self-regulation goal leading towards cost reduction and preventive maintenance.

USEFULNESS & APPLICATION​
iCORPA 4.PNG

IMPACT OF THE PRODUCT
iCORPA 2.PNG

MARKET POTENTIAL
  • Oil & Gas Industry 

INDUSTRY COLLABORATION
​petronas.PNG 
 

Universiti Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, Malaysia

Tel: 1-300-22-8887 | Enquiries: UCS Portal

Approval by Registrar of MOHE: KP(JPS)5195/US/7(9)

MOHE Registration Certification No: DU003(A)

Copyright © Universiti Teknologi PETRONAS

Disclaimer: Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site. Privacy Notice Best Viewed using Google Chrome 46.0 and Above. All Rights Reserved.