Inspired by the fourth industrial revolution (4IR) and digital transformation (DT), the Internet-
of-Things (IoT) and artificial intelligence (AI) have become valuable tools in the oil/gas …

Optimizing the drilling process for cost and efficiency requires faster drilling with a higher
rate of penetration (ROP). A high ROP usually indicates fast and cost-efficient drilling …

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 …

Drilling operations consist of breaking the rock to deepen a wellbore for oil or gas extraction.
A drilling fluid, circulating from the surface through the drill pipe and from the annulus to the …

A real-time stuck pipe prediction using the deep-learning approach is studied in this paper.
Early signs of stuck pipe, hereinafter called stuck, are assumed to show common patterns in …

Developing a reliable classification model for drilling pipe stuck is crucial for decision-
makers in the petroleum drilling rig. Artificial intelligence (AI) includes several machine …

Artificial intelligence (AI) is revolutionizing several businesses across the world, and its
implementation in drilling engineering has enhanced the performance of oil and gas …

Oil and gas are the major commodities that are fueling the advancement of human
civilization. Drilling oil and gas well is a very challenging task and requires deep knowledge …

As drilling of new oil and gas wells increase to meet energy demands, it is essential to
optimize processes to ensure the health and safety of the crew as well as the protection of …

Stuck pipe incidents are one of the contributors to non-productive time (NPT), where they
can result in a higher well cost. This research investigates the feasibility of applying machine …