Machine Learning in Oil and Gas Demystified

DURATION:

30 min

FORMAT:

Presentation

Led by SoftServe Data Science Practice Leader Iurii Milovanov, Machine Learning Demystified took place at the 2021 Machine Learning in Oil and Gas Conference. This digital session features best practices and the process of ML project implementation and productization, from idea and proof of concept to scalable products.

Watch this replay to learn more about:

Recent machine learning techniques in oil and gas
How machine learning can impact intelligent exploration, autonomous control, production optimization, AI-empowered HSE, and more
Our featured case study: AI-enabled corrosion detection – from proof of concept to real-time remote inspection.

Our speaker:

Iurii Milovanov, Director, AI/Data Science

Iurii Milovanov is a Data Science Practice Leader with more than 10 years of experience in building enterprise-level AI, big data and advanced analytics solutions.

Iurii is a computer science expert with strong emphasis on cutting-edge technologies. His research interests include various aspects of modern, progressive IT, and state-of-the-art artificial intelligence, such as distributed and parallel computing, large-scale machine learning, natural language processing, computer vision, and speech recognition.

Iurii is actively contributing to various research and scientific communities, including his participation in the KarooGP project, a genetic programming suite used at LIGO Lab for detecting gravitational-waves; SIMOC, an interactive model of a scalable, human community located on a remote planet; and DRLearner project, the first open source implementation of Google’s Deep Reinforcement Learning (DQN) algorithm for playing ATARI games.