Digital Twin (DT) is an emerging technology surrounded by many promises, and potentials
to reshape the future of industries and society overall. A DT is a system-of-systems which …

Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …

Drilling mud is a mixture of base fluid and other materials combined in specified amounts for
the purpose of cleaning a drilled well. Some of its functions during drilling include but are not …

Accurately modeling and constructing a geologically realistic subsurface model remains an
outstanding problem as the morphology controls the flow behaviors. Particularly, one of the …

Future smart cities are expected to provide intelligent services such as predictions,
detections, and automation through digital twins. However, the creation of digital twins …

Successful drilling operations require optimum well planning to overcome the challenges
associated with geological and environmental constraints. One of the main well design …

In this paper, we present an accurate semiempirical rate of penetration (ROP) predictive
model for polycrystalline diamond compact (PDC) bits. Our model is inspired by the model of …

In this work, we develop and apply an offset well data analysis framework to generate a
digital twin that is representative of bit state. We also strive to produce performance maps for …

Drilling fluid (mud) serves various purposes in drilling operations, the most important being
the primary well control barrier to prevent kicks and blowouts. Other duties include, but not …