Code Date Venue Early Bird Fee Fee
PD438 25 - 25 Oct 2019 Kuala Lumpur, Malaysia SGD 1,799 SGD 1,999
PD438 25 - 25 Oct 2019 Kuala Lumpur, Malaysia RM 5,397 RM 5,997

Code

PD438

Date

25 - 25 Oct 2019

Venue

Kuala Lumpur, Malaysia

Early Bird Fee

SGD 1,799

Fee

SGD 1,999

Code

PD438

Date

25 - 25 Oct 2019

Venue

Kuala Lumpur, Malaysia

Early Bird Fee

RM 5,397

Fee

RM 5,997

About this Training Course 

Artificial Intelligence (AI) is penetrating and reshaping many areas of our lives as well as boosting the efficiency of our industries. Wherever extensive data or past records of activities exist, AI can be applied to generate models and trends that are beyond our current comprehension of our business. There is no limit to the potential use of AI. It only requires our imagination and ingenuity to find new ways of leveraging this fascinating technology to our advantage.

The application of AI in downstream oil & gas is still in its infancy but the progress is rapid in this area. It is only a matter of time before AI becomes an omnipresent factor in refinery operations, optimisation, profitability and safety. The younger generation of plant operators will face the challenges that come with embracing this new technology.

This course will equip participants with up-to-date information on AI and prepare them for its almost unlimited use in the downstream oil industry. To our knowledge, this is the first course of its kind worldwide.

By attending this training course, you will be able to:

  • Gain an understanding of the current state of AI
  • Be conversant about Machine Learning
  • Acquire basic knowledge of potential uses of AI in downstream oil & gas
  • Understand how AI affects, replaces and creates new job opportunities
  • Be prepared for the future “partnering with tools”

As almost all areas in downstream oil & gas oil will be impacted by a widespread use of “intelligent” machines. This short course will be beneficial to both technical and non-technical staff, in particular:

  • Plant managers and supervisors
  • Process and instrumentation engineers
  • Plant operations and planning engineers
  • Data administrators
  • Maintenance and safety engineers
  • Logistics support