27 citations · 42 across the 3 of their papers we have counts for
3 papers
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents
Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova +1
We present an approach for interpreting a black-box alarming system for forecasting accidents and anomalies during the drilling of oil and gas wells. The interpretation methodology…
Forecasting the abnormal events at well drilling with machine learning
Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova +1
We present a data-driven and physics-informed algorithm for drilling accident forecasting. The core machine-learning algorithm uses the data from the drilling telemetry representin…
Application of Machine Learning to accidents detection at directional drilling
Ekaterina Gurina, Nikita Klyuchnikov, Alexey Zaytsev +5
We present a data-driven algorithm and mathematical model for anomaly alarming at directional drilling. The algorithm is based on machine learning. It compares the real-time drilli…