In the past several decades, machine learning has gained increasing interest in the oil and
gas industry. This paper presents a comprehensive review of machine learning studies for …

The earlier a stuck pipe incident is predicted and mitigated, the higher the chance of success
in freeing the pipe or avoiding severe sticking in the first place. Time is crucial in such cases …

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 …

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 …

Drill pipe vibration is a common mechanical phenomenon in drilling process affecting
drilling efficiency and safety. Drill pipe vibration is one of critical factors the analysis, control …

This study investigates stuck pipe mechanisms that pertain to rock cuttings under various
operations. First, a transient two-layer model considering cuttings sliding down is …

The age of easy oil is ending, and the industry started drilling in remote unconventional
conditions. To help produce safer, faster, and most effective operations, the utilization of …

Drill pipe sticking has a major effect on drilling efficiency and well costs. This problem is
affected by many parameters, such as geological parameters, technical and technological …

This study investigates the cuttings transport while tripping with a connector. First, a transient
two-layer model is enhanced to simulate the cutting transport while tripping with a connector …

The objective of this paper is to develop predictive models to optimize the (1)
characterization of the stimulated reservoir volume (SRV),(2) discretization of the fracture …