Training complex machine learning and deep learning models has become straightforward
with the advent of highly efficient, open-source machine learning libraries. Supervised …

Based on the measurement indexes monitored by the roof bolter while drilling, the rock
properties, fractures and other rock stratum characteristics can be obtained, which provide …

Due to the nonlinear bit-rock and drill–string–borehole interactions, the modeling and
analysis of drill string dynamics are a challenging work. These slender structures are …

Drilling vibrations significantly impact drilling operations with high costs due to early
downhole equipment failure and loss of productive time. Stick-slip vibrations, a severe form …

Nowadays, drill string technologies are among the leading fields in the industries of oil and
gas extraction and are widely used in the construction of subway tunnels. Due to their …

Drilling is essential to extract subsurface hydrocarbons and geothermal energy, or store
waste fluids/gases underground. Drilling efficiency directly affects the economics of well …

Drilling is an essential operation for subsurface hydrocarbon/geothermal energy extraction
or underground waste fluid/gas storage. Efficient drilling is the key to an economically viable …

In this paper, a new whirling finite element model of the bottom hole assembly with static
push-the-bit rotary steerable system (RSBHA) is established. Initial imperfection, kinematic …

This work compares the efficacy of lumped and continuous models in simulating drill-string
dynamics. We aim to critically explore the inadequacy of lumped models and challenge their …

In response to the failure problem of axial-torsional coupling vibration of drill string in oil &
gas wells, an axial-torsional coupling nonlinear vibration model of drill string is established …