Drilling wells in challenging oil/gas environments implies in large capital expenditure on
wellbore's construction. In order to optimize the drilling related operation, real-time decisions …

The application of artificial intelligence (AI) has become inevitable in the petroleum industry.
In drilling and completion engineering, AI is regarded as a transformative technology that …

Predicting the drilling rate of penetration (ROP) is one approach to optimizing drilling
performance. However, as ROP behavior is unique to specific geological conditions its …

The widespread use of fossil fuels drives greenhouse gas emissions, prompting the need for
cleaner energy alternatives like hydrogen. Underground hydrogen storage (UHS) is a …

Numerical simulation of oil reservoirs is one of the most commonly used methods for
reservoir production prediction, but its accuracy is based on accurate geological modeling …

Rate of penetration (ROP) management is a matter of importance in drilling operations and it
has been considered in different studies. Different machine learning methods such as …

Rate of penetration (ROP) means how fast the drilling bit is drilling through the formations. It
is known that in the petroleum industry, most of the well cost is taken by the drilling …

In recent years, there were multiple papers published related to rate of penetration
prediction using machine learning vastly outperforming analytical methods. There are …

In tunnel construction projects, delays entail high costs. Thus, tunnel boring machine (TBM)
operators aim for high advance rates without compromising safety, a difficult mission in …

Rate of penetration and mechanical specific energy are two widely used objectives when
optimizing the drilling process, yet a simultaneous optimization of both is still a challenge …