The application of specialized machine learning (ML) in petroleum engineering and
geoscience is increasingly gaining attention in the development of rapid and efficient …

During recent years there has been an increased focus on automating drilling operations
and several solutions are in daily use. We describe here results and lessons learned from …

An important benefit of drilling automation is the ability to ensure continuous updating of the
parameters controlling the drilling process according to the current wellbore conditions …

Advancements in digital technology and digitalization of industrial process have opened
new frontiers for the oil and gas industry. The amount of historical data generated from …

The objective of this study is to present a novel rock formation identification model using a
data-driven modeling approach. This study explores the use of real-time drilling data to train …

The transition towards drilling automation put high demands on new software for controlling
or assisting during drilling. Along with the software development, adequate infrastructures …

Drilling and completing an oil/gas well is a time-sensitive and high-value operation, in which
environment/system parameters change in unseen, unpredictable environments. Safety …

In this study, a moving window trend analysis, is implemented to do stream processing on
the realtime data. The benefits of the work will help drillers rapidly detect changes in the …

Abstract The Rate of Penetration (ROP) is one of the key parameters related to the efficiency
of the drilling process. Within the confines of operational limits, the drilling parameters …

Offshore operations occur in highly critical environments where safety and trust in the
systems are highly relevant. These systems are complex, extremely slender, subject to long …