no code implementations • 6 Sep 2022 • Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry Koroteev
We present an approach for interpreting a black-box alarming system for forecasting accidents and anomalies during the drilling of oil and gas wells.
no code implementations • 10 Mar 2022 • Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova, Dmitry Koroteev
We present a data-driven and physics-informed algorithm for drilling accident forecasting.
no code implementations • 7 Oct 2020 • Ivan Makhotin, Denis Orlov, Dmitry Koroteev, Evgeny Burnaev, Aram Karapetyan, Dmitry Antonenko
In this work, we present a data-driven technique for oil recovery factor estimation using reservoir parameters and representative statistics.
no code implementations • 6 Jun 2019 • Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev, Evgenya Romanenkova, Ksenia Antipova, Igor Simon, Victor Makarov, Dmitry Koroteev
We present a data-driven algorithm and mathematical model for anomaly alarming at directional drilling.
no code implementations • 27 Mar 2019 • Evgenya Romanenkova, Alexey Zaytsev, Nikita Klyuchnikov, Arseniy Gruzdev, Ksenia Antipova, Leyla Ismailova, Evgeny Burnaev, Artyom Semenikhin, Vitaliy Koryabkin, Igor Simon, Dmitry Koroteev
During the directional drilling, a bit may sometimes go to a nonproductive rock layer due to the gap about 20m between the bit and high-fidelity rock type sensors.
no code implementations • 18 Feb 2019 • Andrei Erofeev, Denis Orlov, Alexey Ryzhov, Dmitry Koroteev
The objective of this work is to study the applicability of various Machine Learning algorithms for prediction of some rock properties which geoscientists usually define due to special lab analysis.
no code implementations • 5 Feb 2019 • Ivan Makhotin, Dmitry Koroteev, Evgeny Burnaev
We discuss the potential for further development of ML techniques for predicting changes in oil rate after HF.
no code implementations • 29 Jan 2019 • Denis Volkhonskiy, Ekaterina Muravleva, Oleg Sudakov, Denis Orlov, Boris Belozerov, Evgeny Burnaev, Dmitry Koroteev
In many branches of earth sciences, the problem of rock study on the micro-level arises.
no code implementations • 8 Jan 2019 • Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry Koroteev
We present a novel technique for assessing the dynamics of multiphase fluid flow in the oil reservoir.
no code implementations • 8 Jun 2018 • Nikita Klyuchnikov, Alexey Zaytsev, Arseniy Gruzdev, Georgiy Ovchinnikov, Ksenia Antipova, Leyla Ismailova, Ekaterina Muravleva, Evgeny Burnaev, Artyom Semenikhin, Alexey Cherepanov, Vitaliy Koryabkin, Igor Simon, Alexey Tsurgan, Fedor Krasnov, Dmitry Koroteev
Directional oil well drilling requires high precision of the wellbore positioning inside the productive area.
no code implementations • 2 Mar 2018 • Oleg Sudakov, Evgeny Burnaev, Dmitry Koroteev
We present a research study aimed at testing of applicability of machine learning techniques for prediction of permeability of digitized rock samples.