Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …

In this paper we present a novel approach for detecting early signs for the stuck events in
drilling using Deep Learning. Specifically, we adapt neural network based unsupervised …

While wide fuzzy classifiers which combine several TSK fuzzy sub-classifiers with some
aggregation strategy like weighting have been widely developed to achieve good …

Reactivation of an old oil well can be explicitly calculated to maximize crude oil production.
The biggest challenge with the activation process is the crude oil content in old wells, which …

The research aims to provide scientific reasons for the improvement of drilling process
effectiveness by employing technical factors of working element lifespan improvement and …

Identification of drilling conditions is paramount for ensuring safety and efficiency in drilling
operations. Traditional methods, often based on manual analysis of drilling parameters and …

随着油气田数字化, 智能化建设的不断推进, 数据量迅速增长, 传统的数据融合方法已无法满足
油气井工程领域对多来源, 多模态数据的利用需求. 为此, 从油气井工程业务的角度出发 …

In the oil and gas sector, precise identification and classification of drilling issues are crucial
for safety and productivity. Analyzing historical drilling data enables insights into potential …

В работе рассмотрены особенности применения полимерных материалов в нефтяной
промышленности. Исследования по синтезу полимеров и их соответствующей …