Alexander Tarakanov

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

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Biography

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.

Abstract

Reservoir Characterization & Engineering