Together with Skoltech academics, specialists at the Gazprom Neft Science and Technology Centre have launched a new phase in their joint project to develop innovative geological—hydrodynamic models based on artificial intelligence (AI) technologies, with specialists planning to use machine-learning technologies in the digital modelling of formation flows. These new solutions are expected to allow decisions on capital-intensive operations, such as hydrocarbon production, to be made faster and more efficiently, going forward.
Specialist research teams at Skoltech, working under Professors Dmitry Koroteev, Evgeny Burnaev and Ivan Oseledets, having undertaken extensive research and development and have, in particular, developed unique meta-modelling algorithms several hundred times faster than classic hydrodynamic models of oil and gas deposits.
Specialists at Gazprom Neft’s Science and Technology Centre have taken a positive view of the outlook for implementing these new Skoltech innovations. Oil professionals and academics will now spend a year working on developing an end-product for use at the company’s fields.
Mars Khasanov, CEO of the Gazprom Neft Science and Technology Centre, stressed: “Skoltech has been one of the Science and Technology Centre’s leading R&D partners for several years. Together we have been successfully implementing complex projects in geology, designing new super-hard materials, machine learning technologies, and digital modelling. And every time our partner has confirmed its status as an innovative forum, able to cope with any technological challenge. We expect the implementation of this new initiative to significantly improve information quality in modelling reservoir-flow stimulation. Thanks to which, decision-making will improve, and the use of machine-learning methodologies will cut the time spent on analysing the data obtained.”Mars Khasanov CEO of the Gazprom Neft Science and Technology Centre
Skoltech professor Dmitry Korteev added: “The reservoir flow meta-modelling project is an excellent example of how machine-learning technologies are being used to significantly speed-up forecasting in hydrocarbon-deposit dynamics. It is also an important example of how the key problems in oil and gas engineering are being addressed through the latest developments in AI.”Dmitry Korteev Skoltech professor
The Gazprom Neft Science and Technology Centre brings together scientific research, the development of oil-production technologies and the remote control of high-tech production processes. Its activities are directed at increasing oil production and efficiency by introducing new technologies and new engineering solutions throughout the company’s fields.
The Skolkovo Institute of Science and Technology (Skoltech) is a private graduate research university. Established in 2011 in collaboration with the Massachusetts Institute of Technology (MIT), Skoltech is training a new generation of researchers and entrepreneurs, promotes advanced scientific knowledge and fosters innovative technology to address critical issues facing Russia and the world in the third millennium. Skoltech applies the best Russian and international research and educational practices, with particular emphasis on entrepreneurship and innovation.