Dmitry Koroteev leads “Petroleum Data Science” research team.
Dmitry graduated from the Lomonosov Moscow State University (MSU) with a Master’s degree in Molecular Physics in 2006 and continued his studies there as a Ph.D. student, obtaining his Ph.D. degree in Chemical Physics in 2008. In 2015 Dmitry took two continuing education units on Big Data Challenges from MIT. While still an MS student, he joined Schlumberger, where he successfully built his career from Research Associate through Research Program Manager for Digital Rock & Fluid theme to Project Manager and Acting Research Director of Production Intelligence Department over the course of nine years. His research focused on the following areas: enhanced oil recovery, 3D imaging and image processing, reservoir characterization and stimulation, fluid and rock physics, complex flow modeling, and, most recently, predictive Big Data analytics.
In 2014 – 2015 Dmitry worked as Head of Department of New Technologies at Gazprom Neft (before returning to Schlumberger). Here, he significantly enhanced his managerial experience, managing a portfolio of 50+ projects related to development and implementation of new technologies, as well as participating in the development of a long-term technology strategy of the corporation.
Dmitry’s teaching and mentoring experience includes a lecturing on “Geostatistics and Reservoir Simulation” at Skoltech, practical course on experiments in classical mechanics for first year students of MSU, supervision of several MS students from Skoltech and MIPT, mentoring of multiple research interns at Schlumberger (MS and PhD students from MSU and MIPT).
Best Exploration Technology by World Oil. October 2014. Schlumberger’s CoreFlow digital rock and fluid analytics services is recognized as Best Exploration Technology in 2014
Young Professional Best Paper SPWLA/SCA. September 2013. Paper “Direct hydrodynamic simulation of multiphase flow in porous rock” was recognized as Young Professional Best Paper prsented at International Symposium of the Society of Core Analysts, Napa Valley, California, 16-19 September. The paper is authored by Koroteev, D., Dinariev, O., Evseev, N., Klemin, D., Nadeev, A., Safonov, S., Gurpinar, O., Berg, S., van Kruisdijk, C., Armstrong, T. R., Meyers, M., Hathon, L., and H. de Jong.
ФИО: Коротеев Дмитрий Анатольевич
Занимаемая должность (должности): Старший преподаватель
Преподаваемые дисциплины: Geostatistics and Reservoir Modelling
Ученая степень: кандидат физико-математических наук, 2008, Московский государственный университет
Ученое звание: нет
Наименование направления подготовки и/или специальности: Физика
Данные о повышении квалификации и/или профессиональной переподготовке: Big Data, 2 continuing education units @ MIT
Общий стаж работы: Более 10 лет
Стаж работы по специальности: 10 лет