The gas transport mechanism in shale reservoirs is extremely complex and is a typical
multiscale and multiphysics coupled transport process, considering the complex shale rock …

Mineral classification and segmentation is time-consuming in geological image processing.
The development of machine learning methods shows promise as a technique in replacing …

Rate of penetration (ROP) prediction, can assist precise planning of drilling operations and
can reduce drilling costs. However, easy estimation of this key factor by traditional or …

The high efficiency of hole cleaning is essential and critical for drilling horizontal wells. In
this study, the effects of four-lobed drill pipe on drill cuttings transport behaviors are …

Classical sensitivity analysis of machine learning regression models is a topic sparse in
literature. Most of data-driven models are complex black boxes with limited potential of …

X-ray CT imaging provides a 3D view of a sample and is a powerful tool for investigating the
internal features of porous rock. Reliable phase segmentation in these images is highly …

High water saturation zone, which is also known as lean zone, and shale barrier, are two
common types of heterogeneous features in steam-assisted gravity drainage (SAGD) …

A hybrid learning algorithm consisting of a preprocessor, a k-nearest neighbors regressor, a
noise generator, and a particle–wall collision model is introduced for predicting features of …

In oil and gas drilling, cuttings-transport-related problems are a major contributor to well
downtime and costs. As a result, solutions to these problems have been extensively …

In petroleum industry, fiber containing fluids are widely used as drilling fluids or fracturing
fluids to improve the efficiency of cuttings transport during drilling or proppant transport …