Unlocking the benefits of AI Driven Predictive Maintenance in Oil and Gas
15 December 2020

Part One of this webinar series explores the business case for AI Predictive Maintenance in Oil and Gas

Wipro logo and VROC logo

This two part series, hosted by Wipro will lift-the-lid on AI Predictive Maintenance, how it’s transforming industrial operations, reliability and maintenance. Learn how to implement, what results to expect from this innovative technology, and prepare to take the next step in your digital transformation.  

 

Unlocking the benefits of AI driven Predictive Maintenance in Oil and Gas. 

Part One. The business case for adopting AI driven predictive maintenance

This event has now passed - watch the replay below 

In this first event we’ll introduce AI Predictive Maintenance, showcasing VROC’s Predictive Analytics solution. A self-service AI and auto-machine learning platform which monitors the live condition of your plant and predicts equipment failure in advance.  Discover how you can optimise your existing operations and implement predictive maintenance (PdM) without a huge investment in hardware and with your existing personnel.

Hear from VROC’s CEO and Founder, Trevor Bloch and WIPRO’s Practice Partner, Digital & Domain for Energy in the Middle East, Syed Jamal Shaharyar - watch the replay below

 

Watch Part Two here


What to expect:

  1. Learn about Wipro’s experience in deploying predictive maintenance in industrial environments 

  2. Learn the difference between AI Predictive Maintenance and manual non-automated methods

  3. Discover the benefits that can be achieved in only four weeks and what ROI to expect

  4. Discover how to implement AI Predictive Analytics without installing sensors

  5. Learn how Predictive Maintenance can be applied to new and legacy plants

  6. Discover how one platform saved $21.7M USD in only 4 months and the reliability of one piece of critical equipment was transformed after years of reoccurring problems

  7. Learn how this technology can assist with COVID-19 remote working and travel restrictions

  8. Discover how AI and Auto Machine Learning can drastically improve your plants safety, sustainability and productivity.
  9. ​Participants can bring in the specific maintenance issues (and or use cases) and we will do a deep dive on these topics in Part two.

 

Meet our speakers:

Syed ShaharyarSyed Jamal Shaharyar

Practice Partner, Digital & Domain - Energy, Middle East, Wipro

Syed has 23 years of experience in the IT consulting and business development across US, Europe and Middle East . He is responsible as a Domain & Digital Lead for Energy Vertical for Middle East based in Dubai.  Syed has led Offshoring and Outsourcing initiatives across Europe in the Energy & manufacturing domain across IT and Engineering Services. He has performed Performance Improvement projects, IT Strategy and IT Management across for multiple customers. Syed has also managed delivery teams engaged with customers in application development, ERP implementation as well as Application Support.



 

Trevor Bloch

CEO and Founder, VROC

Trevor Bloch is able to combine his extensive experience working in traditional consulting engineering and tech start-ups to provide the company with the vision it needs to succeed in this new field of industrial information technology.  Skilled in Artificial Intelligence and Machine Learning, Big Data, Distributed Processing, Industrial Process Control, and Control Systems Engineering. A determined leader, Trevor is always looking for ways in which VROC can push the envelope and deliver their clients results that far exceed their expectations.



 

Razik AznamRazik Aznam

Head Offshore Operations, PETRONAS

Razik has successfully led a team of Operation Engineers to change normal way working by implementing big data analytics in one of PETRONAS Carigali offshore platforms. He has been sharing on the journey and benefits of the application with various establishments, which includes other companies and internal PETRONAS. The biggest satisfaction achievement is to prolong the reliability of one of the offshore plafform's gas compressor from maximum running withouts trips of 2 weeks to 4 months without trips. He believes that the technology can help all operators predict the exact cause of equipment failure and better, faster and precise intervention from the frontliners. He is currently leading Turkmenistan Offshore Operations which has a very limited communication infra and is planning on how to implement the same technology here.




 

Social MediaShare this article