Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents

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.

Forecasting the abnormal events at well drilling with machine learning

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.

BIG-bench Machine Learning Time Series +1

Application of Machine Learning to accidents detection at directional drilling

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.

BIG-bench Machine Learning General Classification +2

Real-time data-driven detection of the rock type alteration during a 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.

Change Detection Vocal Bursts Type Prediction

Data-driven model for the identification of the rock type at a drilling bit

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.

BIG-bench Machine Learning General Classification