Drilling is one of the most challenging and expensive processes in hydrocarbon extraction
and geothermal well development. Dysfunctions faced during drilling can increase the non …

In the drilling process, the rate of penetration (ROP) is an essential indicator of drilling
efficiency. Accurate prediction of the rate of penetration (ROP) is crucial for improving drilling …

Lithology identification is a crucial task for reservoir characterization and evaluation. There
exists an intricate non-linear response between formation lithology and logging data …

Drilling vibrations significantly impact drilling operations with high costs due to early
downhole equipment failure and loss of productive time. Stick-slip vibrations, a severe form …

Different clusters of abnormal activities often arise within same temporal domain of drilling
operations. This contrasts with employing simplified scenarios, such as anomaly detection …

This research aims to classify rock types based on the vibration signal propagated from the
experimental rotary drilling process, where the generated vibration signal is a source of …

Predicting blasting quality during tunnel construction holds practical significance. In this
study, a new semi-supervised learning method using convolutional variational autoencoder …

Efficient and safe drilling operations require real-time identification and mitigation of
downhole vibrations like stick-slip, which can significantly diminish performance, reliability …

Severe drill-string vibration is a significant source of drilling problems. Most existing methods
for vibration recognition rely on downhole data, facing great limitations in practice. In …

In drilling operations, measuring vibration parameters is crucial for enhancing drilling
efficiency and ensuring safety. Nevertheless, the conventional vibration measurement …