Leveraging AI, Machine Learning, and Twins in the Oil and Gas Digital Transformation
Monday, 2 May
Technical / Poster Session
So what is the digital transformation? Are you tired of hearing “digitalization” buzz words but not understanding how the application of data analysis and modeling techniques can provide actual, real-life benefits? This session aims to help by spotlighting the commonalities among industries in regard to digital transformation, and how the underlying technical expertise is being shared inside and outside of the oil and gas industry. The selected papers have a particular focus on artificial intelligence, machine learning, and digital twins. Learn how these techniques can be used to predict pump failures, classify complex downhole and surface physical processes, and improve safety and profitability of operations—and perhaps they may apply to your current role!
- Institute of Electrical and Electronics Engineers, Oceanic and Engineering Society (IEEE-OES)
- Society of Petroleum Engineers (SPE)
0930-0952 31892Classification Of Wireline Formation Testing Responses Using Unsupervised Machine Learning Methods.
0952-1014 31852Case Study: Predicting Electrical Submersible Pump Failures Using Artificial Intelligence
1014-1036 32018Artificial Intelligence For Automating And Monitoring Safety, Efficiency And Productivity In Industrial Facilities
1036-1058 32123Rapid Decarbonization Through Maximizing Gains From Process Improvements
1058-1120 31773Combining The Process And Maintenance Digital Twin To Create An Autonomous Production Platform
1120-1142 31874A Data Centric Digital Platform For Rigid Pipeline Engineering
1142-1204 31975Digital Requirement Development: Three Years Of Using Digital Methods To Improve Standardization Of Procurement Specifications