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Data-Driven Hydrocarbon Production Optimization: Opportunities and Challenges

 

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Webinar: Hydrocarbon production in wells, optimizing with digital technologies

 

Hydrocarbon production is renowned for being challenging due to the reservoir conditions, the changing flow and the capacity of the surface facilities.

With regards to tracking hydrocarbon flow, some of the main challenges are:

  1. Lack of visibility of well operations when multiphase flow meter is not in place
  2. High capex and maintenance costs of traditional multiphase flow metering
  3. Lack of structured information for production optimisation

Register for this webinar and find out how you can accelerate implementation, enhance decision-making, and reduce cost around hydrocarbon flow tracking. We achieve this by looking at:

  1. What are the limitations of physical and statistical models
  2. How hybrid physical and statistical models can work to offer improved insights to upstream oil and gas production
  3. How integrating information flow from all producing wells can help to optimise decision making across all assets.
  4. How improved calibration and tuning of models reduce the requirement for manual intervention.

Format: Presentation of the current optimisation challenges, merit of traditional approaches as well as promise of modern data-enabled approaches. Use cases, Q&A.

This webinar aired Tuesday, 25th of June 2019. Fill out the form and we will send you the recorded webinar.

 

Partner of the webinar:

 

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Register here

Webinar Presenters

 

 

Mogens-Mathiesen

 

 

Mogens Mathiesen

Arundo Analytics: Co-Founder
Aker Solutions: Advisor SLS University: NTNU, Berkeley

 

 

Magnus-Dagestad

 

 

Magnus Dagestad

ABB: Principal Technical Consultant Nord University: MBA Technology Management
NTNU: Engineering Cybernetics