Drilling problems forecast system based on neural network

S Borozdin, A Dmitrievsky, N Eremin… - SPE annual Caspian …, 2020 - onepetro.org
Optimization, digitalization and robotization of oil and gas technological processes based on
the use of artificial intelligence methods are among the prevailing trends of the 21st century …

Forecasting the abnormal events at well drilling with machine learning

E Gurina, N Klyuchnikov, K Antipova, D Koroteev - Applied Intelligence, 2022 - Springer
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 representing …

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

E Gurina, N Klyuchnikov, K Antipova… - Journal of Petroleum …, 2022 - Elsevier
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 …

Quantitative Evaluation of Pre-Drilling Safety by Combining Analytic Hierarchy Process with Alternating Condition Expectation

K Fan, S Sun, H Yu, W Sun, H Lin, C Wang, S Hou… - Processes, 2024 - mdpi.com
In order to avoid potential personnel and financial losses, the evaluation of pre-drilling safety
is of great importance in oil and gas exploration and development. This paper presents a …

Разработка рекомендаций по предупреждению осложнений при бурении скважин в различных геолого-технических условиях

ВО Айдушев - 2021 - earchive.tpu.ru
Объектом исследования являются методы предупреждения осложнений при бурении
скважин в различных горно-геологических условиях. Цель работы разработка …