The integration of Physics principles with Artificial Intelligence (AI) and Machine Learning (ML) techniques has emerged as a transformative approach to enhance efficiency and innovation in engineering workflows. The foundation of this integration lies in leveraging robust models and simulations (CFD, FEA etc) that accurately represent real-world phenomena. These models serve as the basis for training AI and ML algorithms, enabling predictive analytics, optimization, and automation within engineering workflows. By harnessing AI/ML, engineers can efficiently analyze vast datasets, discover patterns, and make data-driven decisions that optimize designs, improve performance, and reduce development cycles. This talk will cover different ways of using AI &ML techniques to use simulation together with field data through some relevant use cases.
Dr. Anchal Jatale manages the team of application engineers working in Energy, Chemical and Process industry. He is championing the efforts in developing cutting-edge simulation solutions for new clean energy including wind, hydrogen and carbon capture. He has 15 years' experience in CFD modeling and simulations. For the past few years, he is spearheading Ansys Digital twin engagements in O&G and the energy industry. His expertise is in reduced order modeling, system modeling, reacting flow, combustion, multi-phase flow. Prior to joining Ansys, he received his doctorate in Chemical Engineering from the University of Utah and bachelors in chemical Engineering from Indian Institute of Technology (IIT), Kanpur.
2. Bronson Ekre, Director of Sales - Pason Systems
Presenting - "Drilling Fluid Automation - Benefits, Applications, and What's Next"
Drilling fluid properties are integral to the overall design and completion of unconventional oil & gas wells, yet the amount of data we capture from drilling fluids is relatively small. While there have been numerous attempts throughout the industry over the past 20+ years, automation of drilling fluid properties has remained difficult to obtain. Site conditions, environmental factors, sensor technology and reliability are a few of the obstacles that have prevented the collection of fluids data. Fortunately, with the advent of machine learning and advanced engineering designs, it is now possible to monitor and optimize drilling fluids in real-time.
The digital revolution has proven over and over that new technology and increased data can simplify and improve operations in the oil & gas industry. Drilling fluid automation is the next step to increasing efficiency and productivity in the unconventional space.
Bronson Ekre started his career 13 years ago, actively learning about the upstream oil & gas space while working in the Bakken field for Pason Systems. His career naturally progressed from operations and into business development where he currently serves as Pason’s Director of Sales. Bronson serves as the Scholarship Chair on the Houston IADC Board of Directors where he’s able share his passion for continuous education through the IADC mentorship program. He is an avid outdoorsman and loves sharing experiences in the wilderness with his two children. Bronson completed his bachelor’s degree at the University of North Dakota and currently resides in Houston, TX.