Artificial intelligence (AI) and machine learning (ML) are transforming industries, where low-
cost, big data can utilize computing power to optimize system performance. Oil and gas …

Permeability is a crucial analytical variable in petrophysical parameters of reservoir rocks,
which is highly related to geo-energy exploration and evaluation. Conventional physics …

Deep learning technology can fit the nonlinear relations between different logging
sequences. It solves the prediction problems that cannot be effectively disposed by …

Gas kick occurs frequently during deep-water drilling operations caused by the lack of safe
margin between pore pressure and leakage pressure. The existing research is limited to gas …

The geological conditions of deep water in the South China Sea are complex. Shallow gas
is often encountered during deep-water drilling, which is likely to cause serious accidents …

Rate of penetration (ROP) is an essential factor in drilling optimization and reducing the
drilling cycle. Most of the traditional ROP prediction methods are based on building physical …

During the drilling operations and because of the harsh downhole drilling environment, the
drill string suffered from downhole vibrations that affect the drilling operation and equipment …

Mineral quantification is essential to evaluate gas hydrate (GH) resources because the
mineral composition is closely related to the origin of sediment, the reservoir properties, and …

The accurate and real-time prediction of the mechanical property response for the safety
assessment of the marine riser is necessary during offshore oil and gas production …

Seismic horizon picking via deep learning models have been advanced rapidly and proven
popular. However, the prediction result is highly depended on the quality of the train set and …