THEME: "Frontiers in Oil, Gas, Petroleum Science and Engineering Research"
National Research University Higher School of Economics, Russia
Title: Improving Data Acquisition Optimization in Oil and Gas Production: A Machine Learning Solution with Orthogonal Decision Trees
Time:
He recently joined the Higher School of Economics as an Associate Professor. He specializes in developing advanced Machine Learning methods to enhance solutions for engineering problems. His research areas encompass a wide range of applications, including hydrocarbon production forecasting, subsurface CO2 storage, and image processing. In addition to his work at HSE, Alexander actively conducts research at Odnoklassniki, a social network, where he contributes to enhancing the existing Machine Learning solutions of the company by integrating cutting-edge research into practical applications. Alexander's research is driven by his industry experience, gained through working in companies like GazpromNeft-STC, Huawei, and Odnoklassniki. This background provides him with valuable insights into industry-related challenges, allowing him to tackle relevant problems and contribute to advancements in the field.