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nn-PINNs: Non-Newtonian physics-informed neural networks for complex fluid modeling
Time-and rate-dependent material functions in non-Newtonian fluids in response to different
deformation fields pose a challenge in integrating different constitutive models into …
deformation fields pose a challenge in integrating different constitutive models into …
[HTML][HTML] Heat transport and nonlinear mixed convective nanomaterial slip flow of Walter-B fluid containing gyrotactic microorganisms
MI Khan, F Alzahrani, A Hobiny - Alexandria Engineering Journal, 2020 - Elsevier
Here nonlinear mixed convective nanoliquid slip flow of Walter-B fluid is addressed subject
to stretched surface with gyrotactic microorganisms. The flow is generated via nonlinear …
to stretched surface with gyrotactic microorganisms. The flow is generated via nonlinear …
On the evaluation of thermal conductivity of nanofluids using advanced intelligent models
Accurate knowledge of thermal conductivity (TC) of nanofluids is emphasized in studies
related to the thermophysical aspects of nanofluids. In this work, a comprehensive review of …
related to the thermophysical aspects of nanofluids. In this work, a comprehensive review of …
CO2 geological sequestration in heterogeneous binary media: Effects of geological and operational conditions
Realistic representation of subsurface heterogeneity is essential to better understand and
effectively predict the migration and trap** patterns of carbon dioxide (CO2) during …
effectively predict the migration and trap** patterns of carbon dioxide (CO2) during …
Modeling of methane adsorption capacity in shale gas formations using white-box supervised machine learning techniques
MN Amar, A Larestani, Q Lv, T Zhou… - Journal of Petroleum …, 2022 - Elsevier
Energy demand is increasing worldwide and shale gas formations have gained increasing
attention and have become crucial energy sources. Therefore, accurate determination of …
attention and have become crucial energy sources. Therefore, accurate determination of …
Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back …
A Larestani, SP Mousavi, F Hadavimoghaddam… - Journal of Petroleum …, 2022 - Elsevier
Water-flooding is one of the main options employed by the oil industry to meet the world's
ever-increasing demand for oil, as the primary source of energy. This approach is highly …
ever-increasing demand for oil, as the primary source of energy. This approach is highly …
Application of advanced correlative approaches to modeling hydrogen solubility in hydrocarbon fuels
In petroleum and petrochemical refineries, having precise knowledge regarding H 2
solubility in hydrocarbon fuels and feedstocks is critical. In this study, the hydrogen solubility …
solubility in hydrocarbon fuels and feedstocks is critical. In this study, the hydrogen solubility …
Prediction of pressure in different two-phase flow conditions: machine learning applications
The accurate prediction of pressure has extensive applications in the petroleum industry,
especially in the optimization of continuous field production, quantifying reservoir …
especially in the optimization of continuous field production, quantifying reservoir …
Modeling interfacial tension of methane-brine systems at high pressure and high salinity conditions
Natural gas which consists mainly of methane (usually more than 90% in volume), is
becoming increasingly an important and efficient source of energy because of the lower …
becoming increasingly an important and efficient source of energy because of the lower …
Experimental measurement and compositional modeling of crude oil viscosity at reservoir conditions
In the present study, experimental and modeling investigations were performed and
combined to implement trustworthy paradigms to predict the viscosity value under different …
combined to implement trustworthy paradigms to predict the viscosity value under different …