Underwater Imaging for Corrosion Inspection 

LEVEL : INTERMEDIATE    HRDF : CLAIMABLE

TRAINER: ASSOC. PROF. DR. SYED SAAD AZHAR ALI

WHEN

28 - 29 SEPTEMBER 2021

WHERE

MS TEAMS

TIME

9.00AM - 5.00PM

RM 1,230 FOR PROFESSIONALS

10% Discount for Early Bird (Until 28 August 2021) / Group / Students

COURSE SUMMARY

INTRODUCTION

The aim of this course is to provide in depth knowledge of the underwater imaging for subsea corrosion inspection. The subsea pipeline corrosion in offshore oil and gas industry is considered as an important problem that further leads to cracks and leakages. Often, the human divers are involved to perform the visual inspection tasks for pipeline integrity management on regular basis. However, the offshore setups are moving from shallow water to deep water due to exhaustion of oil and gas reservoirs. In deep water, the inspection by human divers is inviable due to inhospitable environmental conditions. Due to the reliability of visual inspection method, image based-solutions are found to be effective for deep water inspection activities. However, the underwater image is degraded by low contrast, color attenuation and blurring issues by suspended particles in water. Hence the underwater image enhancement and dehazing operations are required prior to establishing image based-inspection. This course is focused on visual inspection for corrosion estimation using image data. The approach is based on underwater image restoration, with contributions in color and contrast enhancement as well as dehazing for a final application that targets the estimation of the corroded surface of the pipeline.

COURSE CONTENT
Introduction to Underwater Imaging 
  • Challenges and problems in underwater environment.
  • Application of Image Processing for underwater image enhancement.

Corrosion and corrosion inspection

  • Types of corrosion and characteristics.
  • Features for corrosion inspection.

Hands-on experience

  • Classification using Machine learning algorithm.


OBJECTIVES

Upon completion of this course, participants will be able to:

  • Implement the various Neurofeedback protocols in brain training.
  • Acquire EEG and perform the qEEG analysis for optimized Neurofeedback protocol.


WHO SHOULD JOIN US TO :

  • Oil & Gas Industry.
  • Researchers and Students in imaging, offshore infrastructures.
  • Researchers in Corrosion.





OUR TRAINERS



1. Assoc. Prof. Dr Syed Saad Azhar Ali

Dr Syed Saad Azhar Ali (M’07–SM’17) received the B.E. degree in electrical engineering from NED University, Karachi, Pakistan, and the master’s and doctoral degrees in nonlinear control from the King Fahd University of Petroleum & Minerals. He was with Air University and Iqra University prior to being engaged as Associate Professor with the Center of Intelligent Signal and Imaging Research, Universiti Teknologi PETRONAS. Recently, he has been involved in neurosignal processing. He has authored over 80 peer- reviewed publications, including four books/chapters. His research focus has been on intelligent control, signal processing, underwater robotics with the emphasis on image enhancement and 3-D scene reconstruction. He is the PI for several funded research projects.

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REGISTRATION FEES

      Professional       

myr1,230

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)

Early bird/ group/ student

myr1,107

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558 /

+605 - 368 8485

DROP US AN EMAIL

cape@utp.edu.my