Home  »  Learning  »  Webinars  »  Webinar | Data-Driven Modeling – Digital Twin for Corrosion Flow Assurance

THREE REASONS TO ATTEND:

  • Learn how data-driven corrosion modeling ensures that your functional and performance requirements are met
  • Understand how a corrosion flow assurance approach rapidly models and validates mission objectives and goals through “what-if” scenario analysis
  • See how a data-driven modeling approach provides greater insight that leads to more intelligent decisions ​

TARGET AUDIENCE:

  • Asset managers
  • Engineering managers
  • Modeling and simulation engineers
  • Production supervisor and engineers
  • Commercial and sales managers

Abstract:

The prediction of corrosion rate and its migration is of paramount importance to the oil and gas industry. In fact, according to the National Association of Corrosion Engineers (NACE) International, the total annual cost of corrosion industry-wide is estimated to be over USD 1.3 billion, which includes surface pipelines/facilities, downhole tubing and capital expenditures related to corrosion.

This webinar will showcase how open literature corrosion data can be translated into knowledge via data-driven modeling techniques. The results can lead to a digital twin for descriptive, predictive, diagnostic and prescriptive purposes, thus helping to mitigate pipeline and flowline corrosion issues. The Voice of the Oilfield™ approach and Well Construction 4.0 initiatives are examples of comprehensive solutions that incorporate the digital twin approach. This webinar will also highlight how a digital “systems of systems” strategy enables the investigation of the effects that multiple subsystems might have on the overall mission of the system and, potentially, the impact that interactions will have between the subsystems.





Speaker | Dr. Egidio “Ed” Marotta, Ph.D., Chief Advisor – Digital Twin & Optimization

Dr. Egidio “Ed” Marotta is Chief Advisor, Digital Twin and Optimization, for Halliburton Landmark. He has over 25 years of academic and industry experience in the development of physics-based models and data-driven models. He applies a unique systems engineering philosophy to reach his goals when analyzing systems. Dr. Marotta is also experienced in helping customers realize value from modeling and simulation, analysis-led design, and the incorporation of digital twins for asset health monitoring and prognostication. Presently, he holds the rank of American Society of Mechanical Engineers (ASME) Fellow and American Institute of Aeronautics and Astronautics (AIAA) Associate Fellow, and is active in AIAA and ASME technical committees, including the ASME Offshore Technology Conference (OTC). He has served on several ASME committees (ASME South Texas and Northwest Texas sections) and as Associate Editor for the ASME Journal of Energy Resources Technology. Additionally, Dr. Marotta has recently organized and moderated panel sessions on the application of big data and digital twin modeling for subsea applications at OTC 2017 and 2018.

Speaker | Dr. Matthew Franchek, Ph.D, Professor, Mechanical Engineering Department, University of Houston

Dr. Matthew “Matt” Franchek is a Professor in the Mechanical Engineering Department at the University of Houston (UH) and is the founding director of the UH Subsea Engineering Program. He received his PhD in mechanical engineering from Texas A&M University in 1991, and started his career at Purdue University as an assistant professor in mechanical engineering. He was promoted to an associate professor with tenure in 1997, and then to full professor in 2001. From 2002 to 2009, he served as chair of mechanical engineering at UH, while simultaneously initiating the UH Biomedical Engineering undergraduate program. His current research program focuses on multiphase pipeline flow, artificial lift, blowout preventers and electrical power distribution. He has authored more than 80 archival publications, and over 100 conference publications.

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