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 …

There is a great deal of interest in the oil and gas industry (OGI) in seeking ways to
implement machine learning (ML) to provide valuable insights for increased profitability …

Petroleum reservoirs are often associated with multiple target zones or a single zone
adjacent to nonproductive intervals. Real‐time geosteering therefore becomes important to …

Drilling engineering, as one of the main means and key links of oil and gas exploration and
development, has the characteristics of intensive capital and technology, high investment …

The accurate prediction of the rate of penetration (ROP) is crucial for optimizing drilling
parameters and enhancing drilling efficiency in ultra-deep wells. However, this task is …

Downhole tools are complex electro-mechanical systems that perform critical functions in
drilling operations. The electronics within these systems provide vital support, such as …

Drilling is one of the expensive operations in oil and gas production. The cost of drilling
exponentially increases with an increase in non-productive time (NPT). Extending the drill bit …

Rate of penetration (ROP) is one of the important indicators for evaluating drilling efficiency,
which provides the basis for drilling parameter optimization. ROP prediction methods can be …

In this study, we demonstrate the application of an interpretable (or explainable) machine‐
learning workflow using surface drilling data to identify fracturable, brittle, and productive …

Productivity prediction is an important aspect of oil and gas exploration and development. As
the amount of field data has increased, traditional engineering methods have begun to face …