Webinar: Scaling APM for Production Optimization: How to get there faster with Digital Twins and Industrial DataOps
Hear from SLB and Cognite industry leads about what it takes to scale digital asset performance management efforts in days/weeks, not months. Hint: It starts with a smarter industrial data foundation and ends with a 400% ROI.
O&G operators continue to face challenges when implementing data-driven Asset Performance Management programs due to data roadblocks and the “patchwork quilt” problem. So what technologies and practices are needed to improve adoption and scaling rates of these digital programs and unlock maximum returns?
In this webinar, SLB and Cognite will look at how these issues can be addressed to deliver even more value and efficiency from APM through a renewed focus on data and scalability at both a facility and business level. From joint experience, APM success depends on having digital twins based on a strong data foundation to improve asset longevity and reliability, streamline maintenance, and optimize execution activities at scale.
Join us on June 15th and discover:
- How to overcome the “industrial data problem” that stems from cross-department data silos, inconsistent workflows, and lack of simple access to complex industrial data from IT, OT, and ET systems
- How to better navigate and balance digital breadth vs. depth by having integrated data flows for operators to have holistic views on their production, maintenance and other day-to-day operational activities
- How to unlock scale with open industrial digital twins that enable digital use case repeatability from asset-to-asset or use case-to-use case with data in context and reusable application frameworks
Register to join us live on June 15th.
Speakers
Mahyar Mohajer
Digital Program Manager, Production Systems
SLB
Mahyar (Matt) Mohajer is the digital program manager for SLB Production Systems Division, a position he assumed in July 2020. Since joining SLB in 2006 Matt has held several technical, sales, marketing, and management positions in Canada, UK, Norway, and USA. Currently, he is responsible for defining and executing Production Systems digital strategy. He holds a B.Sc. degree in Chemical Engineering from Sharif University of Technology in Tehran, Iran (2003), a M.Sc. degree in Chemical Engineering from the University of Calgary in Canada (2006), and an Executive MBA from SDA Bocconi in Italy (2015).
Gunnar Staff
Senior Principal Data Scientist
Cognite
Gunnar joined Cognite in 2018 and leads the company’s Production Optimization team. Prior to that, Gunnar spent 12 years in the SPT Group and Schlumberger working on the multiphase flow simulator OLGA doing model development, validation, and optimization. Gunnar has a Ph.D. in numerical methods from the Simula Research Laboratory in Oslo, Norway.
Prabu Parthasarathy
Global VP - Partner Success
Cognite
Prabu is Global VP of Partner Success at Cognite. A technology enthusiast, he has over 20 years of experience in solving complex problems leveraging physics and data in many industries. His driving purpose is to help clients improve their performance and create sustainable value for their stakeholders by leveraging advanced technology. Prabu has a PhD in Mechanical Engineering from the University of Houston.
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