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Demystifying Hybrid AI in Oil & Gas and Process Manufacturing

Explore the potential of hybrid AI in oil and gas and other process industries, and learn how combining physics with machine learning delivers working AI for industry.

In this webinar

July 2nd, 2020
4pm - 5pm (CEST)

Both physics-based models and machine learning can be used to make predictions -- so which approach should be used for what purpose, and when is a combination of the two the best solution?

Join us to learn from Gunnar Staff, Senior Principal Data Scientist at Cognite, how physics is being fused with ML to bring out the best of both worlds, unlocking both financial and sustainable value from advanced analytics in processing industries.

In this webinar, we will present two use cases for what’s known as physics-guided ML or hybrid AI:

  1. An oil-in-water prediction, root cause analysis, and preventive action system
  2. Transferring lessons from oil and gas to industries that produce goods such as cement, paint, and fish oil

In addition to these use cases, you will learn how hybrid AI can be applied to address your organization’s production optimization challenges. Key takeaways include:

  • Combining physics-based modeling and machine learning
  • Fit for industrial systems analysts across a range of scenarios
  • Subject-matter and data science requirements
  • Why semi-interpretable prediction logic is preferred
  • Cost efficiency compared to pure physics-modeling in production and at scale across fleets of assets
  • Machine learning training with synthetic data

 

Who you will meet

GUNNAR STAFF, SENIOR PRINCIPAL DATA SCIENTIST: 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.

PETTERI VAINIKKA, VICE PRESIDENT OF PRODUCT MARKETING: Petteri’s professional career spans across enterprise SaaS technologies, where he has found himself at the intersection of emerging transformational technology development and its commercial applications for customers. Prior to Cognite, Petteri worked in senior product management, marketing, sales, and general management positions for companies such as at Sumea, Rovio, Ardoq and Cxense. Petteri has a master’s degree in technology from Aalto University in Helsinki.

Demistifying AI Portraits
July 2, 2020
4pm - 5pm (CEST)

Demystifying Hybrid AI in Oil & Gas and Process Manufacturing

Both physics-based models and machine learning can be used to make predictions -- so which approach should be used for what purpose, and when is a combination of the two the best solution

In this webinar, we will present two use cases for what’s known as physics-guided ML or hybrid AI:

  • An oil-in-water prediction, root cause analysis, and preventive action system
  • Transferring lessons from oil and gas to industries that produce goods such as cement, paint, and fish oil

Oil Platform Workers 2-1

 

Explore the potential of hybrid AI in oil and gas and other process industries, and learn how combining physics with machine learning delivers working AI for industry.

Learn from Gunnar Staff, Senior Principal Data Scientist at Cognite, how physics is being fused with ML to bring out the best of both worlds, unlocking both financial and sustainable value from advanced analytics in processing industries.

In addition to these use cases, you will learn how hybrid AI can be applied to address your organization’s production optimization challenges. Key takeaways include:

  • Combining physics-based modeling and machine learning

  • Fit for industrial systems analysts across a range of scenarios

  • Subject-matter and data science requirements

  • Why semi-interpretable prediction logic is preferred

  • Cost efficiency compared to pure physics-modeling in production and at scale across fleets of assets

  • Machine learning training with synthetic data

Oil&Gas

GUNNAR STAFF

Gunnar Staff

Senior Principal Data Scientist

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.

Petteri Vainikka

Petteri Vainikka

Vice President of Product Marketing

Petteri’s professional career spans across enterprise SaaS technologies, where he has found himself at the intersection of emerging transformational technology development and its commercial applications for customers. Prior to Cognite, Petteri worked in senior product management, marketing, sales, and general management positions for companies such as at Sumea, Rovio, Ardoq and Cxense. Petteri has a master’s degree in technology from Aalto University in Helsinki.