Deep learning algorithms provide plausible benefits for efficient prediction and analysis of
nuclear reactor safety phenomena. However, research works that discuss the critical …

Pipeline leakage detection is a crucial part of pipeline integrity management. Acoustic
emission (AE) based leakage detection is widely used in this field. The latest detection …

This review discusses three types of soft matter and liquid molecular materials, namely
hydrogels, liquid crystals and gas bubbles in liquids, which are explored with an emergent …

Gas pipe leakage is a common and significant problem around the word. To detect the
leakages, an in-pipe detector mounted on an acoustic inspection module is a direct and …

The entrained droplet fraction (e) is an important quantity in annuar gas-liquid two-phase
flows as it allows more precise calculation of the gas core density. This results in more …

Parameter inversions in oil/gas reservoirs based on well test interpretations are of great
significance in oil/gas industry. Automatic well test interpretations based on artificial …

Accurate prediction of the frictional pressure drop is important for the design and operation
of subsea oil and gas transporting system considering the length of the pipeline. The …

Surfactant-based foam drainage technology is a favored method of liquid accumulation
removal, and it has been demonstrated as an efficient way to improve gas production …

Motion state monitoring and recognition are the important issues to be dealt to improve the
reliability of Autonomous Underwater Vehicle (AUV). In this work, we transform the motion …

Heterogeneity plays a vital role in the micro-flow through porous media, but experimentally
observing the flow details is time-consuming. This study provides a fast method for …