Review of machine learning for hydrodynamics, transport, and reactions in multiphase flows and reactors
Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …
promising transformative paradigm. ML, especially deep learning and physics-informed ML …
Thermal performance of annulus with its applications; A review
The topic of heat transfer enhancement has attractive attentions to develop the compact heat
exchanger design in order to obtain a high efficiency, low cost, light weight and size as small …
exchanger design in order to obtain a high efficiency, low cost, light weight and size as small …
Identification and maximum impact force modeling investigation for critical slugging in underwater compressed gas energy storage systems
C Liang, W Xiong, H Wang, R Carriveau… - Journal of Energy …, 2023 - Elsevier
Underwater compressed gas (air, natural gas, hydrogen, etc.) energy storage (UWCGES) is
an emerging technology that is suitable for ocean energy storage. Liquid accumulation in …
an emerging technology that is suitable for ocean energy storage. Liquid accumulation in …
[HTML][HTML] Numerical modeling of laminar and turbulent annular flows of power-law fluids in partially blocked geometries
H Miao, V Dokhani, Y Ma, D Zhang - Results in Engineering, 2023 - Elsevier
The presence of cuttings bed in deviated wellbores has an undesirable effect on wellbore
hydraulics by reducing the open flow area. In addition, pipe eccentricity affects the annular …
hydraulics by reducing the open flow area. In addition, pipe eccentricity affects the annular …
A machine learning approach to filtrate loss determination and test automation for drilling and completion fluids
S Gul, E van Oort - Journal of Petroleum Science and Engineering, 2020 - Elsevier
Drilling fluid property characterization currently involves several manually executed
analytical tests, conducted in accordance with American Petroleum Institute (API) …
analytical tests, conducted in accordance with American Petroleum Institute (API) …
Machine learning based models for pressure drop estimation of two-phase adiabatic air-water flow in micro-finned tubes: Determination of the most promising …
The present study is focused on determining the most promising set of dimensionless
features and the optimal machine learning algorithm that can be employed for data-driven …
features and the optimal machine learning algorithm that can be employed for data-driven …
Machine learning based pressure drop estimation of evaporating R134a flow in micro-fin tubes: Investigation of the optimal dimensionless feature set
The present study is focused on proposing, implementing, and optimizing machine learning
based pipelines for estimating the pressure drop in evaporating R134a flow passing through …
based pipelines for estimating the pressure drop in evaporating R134a flow passing through …
Eulerian–Eulerian modeling of multiphase flow in horizontal annuli: Current limitations and challenges
A Shynybayeva, LR Rojas-Solórzano - Processes, 2020 - mdpi.com
Multiphase flows are present in many natural phenomena, processing technologies, and
industries. In the petroleum industry, the multiphase flow is highly relevant, and special …
industries. In the petroleum industry, the multiphase flow is highly relevant, and special …
Comparison of computational intelligence models for cuttings transport in horizontal and deviated wells
Improper cleaning of the horizontal and deviated wellbores is one of the major problems
encountered during drilling process. Cuttings bed thickness is a key parameter to determine …
encountered during drilling process. Cuttings bed thickness is a key parameter to determine …
Computational intelligence models for PIV based particle (cuttings) direction and velocity estimation in multi-phase flows
In multi-phase flow, the gas phase, the liquid phase and the particles (cuttings) within the
liquid have different flow behaviors. Particle velocity and particle direction are two of the …
liquid have different flow behaviors. Particle velocity and particle direction are two of the …