Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

Multiphase flow has many applications, such as oil and gas industries. Flow meter devices
must be calibrated with field or laboratory data. One of the best methods to calibrate the …

Slug flow is a dynamically complex two-phase flow pattern. A wide variety of industrial gas-
liquid systems operate under slug flow conditions for not only flow transportation purposes …

Abstract Machine learning has been widely used in the gas-liquid two-phase flow field.
However, data-driven machine learning methods are often considered black-box methods …

In horizontal configuration, the gas-liquid intermittent flow can be plug flow or slug flow.
Different works have demonstrated that the two flow patterns, despite their similarity, are …

Shear wave time is an important parameter participating in the calculation of rock mechanics
properties. Many evaluation processes including wellbore stability analysis and sand …

The slug frequency (SF), which refers to the number of liquid slugs passing through a pipe
during a specific time, is an important parameter for characterizing the multiphase …

Accurate predictions of flow pattern, liquid holdup, and pressure drop are essential factors
for oil and gas wells analysis and production optimization. In the literature, there are several …

Dynamic and simultaneous prediction of gas flow rate and concentration is crucial in the
fields of industrial gas delivery, environmental monitoring, and energy. The micro …

Data science and machine learning have revolutionised various industries, and the
subsurface engineering industry is no exception. Subsurface engineering involves the …