09 - 11 October 2017 | Bahrain
Under the Patronage of His Royal Highness Prince Khalifa bin Salman Al Khalifa, Prime Minister, Kingdom of Bahrain

Interview with the Expert

MEPEC Technical Speaker

Dr. Martin Turk

Dr. Martin Turk

Director, Downstream O&G Global Solutions Architect ,
Schneider Electric

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Leverage the IIOT for a Comprehensive Enterprise Asset Performance Management Strategy


Presented by:

Martin A. Turk, Ph.D, Director, Downstream Oil & Gas, Schneider Electric

What can the audience look forward to in your presentation during MEPEC 2017? What are the key take aways?

  • The use of predictive analytics has proven in many industrial applications to provide early warning of impending problems with asset health and reliability for those assets that are subject to random modes of failure.  This early warning enables plant operations and maintenance personnel to avoid potentially catastrophic equipment failures which could result in substantial economic loss and/or harm to personnel and the environment.  Such early warning also allows the scheduling of equipment repairs which is acceptable to both organizations.

  • In addition to the use of predictive analytics, operations and maintenance personnel can take advantage of condition-based monitoring for improving the reliability of assets with known failure modes, as well as online rigorous first principles models to measure equipment economic performance, e.g., compressor efficiency, heat transfer coefficients.

  • The benefits if deploying such advanced automation technologies has been shown to be worth millions of dollars per year in improved plant profitability.

What are the key challenges that the process engineering industry is facing?

  • While the Industrial Internet of Things (IIoT) promises significant rewards to those companies that are effective in deploying it, the risk is not insignificant.  One of the biggest challenges is associated with the integration of IT and OT.  Without this integration it is very difficult to maximize the benefits that such technologies provide.

  • Another significant challenge for companies in the process industry is to be able to measure in near realtime the economic performance of their manufacturing facilities.  Experience has shown that once-a-month production accounting does not enable manufacturing plants to achieve sustained profitability.

  • A third challenge relates to the dramatically changing demographics of the work force.  Millennials want near instant access to the information they need to perform the responsibilities of their jobs without having to spend time and energy to find it.  Also, by and large, they are not interested in “what is under the covers” of the applications they use.  As such, these applications have to be able to provide accurate and timely information, as Millennials will rarely question the validity of the data and information with which they are presented.

  • Another challenge related to the next generation of workers relates to reducing the time it takes to train them to be effective in their jobs and to be able to make correct decisions when abnormal situations arise.  The practices of “on-the-job training” and “apprenticeships” will soon become ways of the past as baby boomers retire and take their years of experience and knowledge with them.

What  are the latest trends and technologies for the industry?

The latest technologies being embraced by the process industries are: (1) the Cloud; (2) IIoT; (3) mobility; (4) big data analytics; (5) procedural automation; (6) explosion in the type of quantity of data available to plant operations personnel. 

Currents industry trends and challenges are: (1) high volatility of the market, particularly in the hydrocarbon processing industry; (2) geopolitical uncertainties; (3) generation shifts; (4) maximizing the value of every molecule of feed-stock processed.

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