Benedicta Loveni Melkisedek
Master’s Student · Postgraduate Physics Programme, Universitas PadjadjaranMaster’s Student · Universitas Padjadjaran
Works onDigital Rock PhysicsMachine Learning
6Published papers+1 under review
3Top tierQ1 / high-impact journals
2First-authorLead publications
1h-indexScopus
About
Compares tortuosity models for carbonate and sandstone reservoirs. Combines lattice Boltzmann with neural network surrogates to predict transport properties in porous rocks. First author of the Editor’s Choice tortuosity paper in Applied Sciences (2025), and co-author of the Top Tier systematic review on lattice Boltzmann and neural networks.
Publications
Peer-reviewed papers and manuscripts written with the DRPRS Lab.
The Lattice Boltzmann Method for Multicomponent Flows with High Viscosity Ratios: A Comprehensive Review
A Dimensionless Morphological Framework for Permeability Prediction in Porous Rocks: Extending Kozeny–Carman with Coordination Number and Throat-Scale Corrections
In review
Explainable Machine Learning for Sandstone Rock Typing: Triple-Anchor Convergence with Closed-Form Permeability Laws
Integrating Lattice Boltzmann and Neural Networks for Modeling Transport Parameters in Porous Rocks: A Systematic Review
A Comparative Study of Three-Dimensional Flow Based, Geometric, and Empirical Tortuosity Models in Carbonate and Sandstone Reservoirs
Residual Attention U-Net for Predicting Fluid Dynamics and Permeability in Two-Dimensional Digital Porous Rocks
Co-authors in the lab
History
2025 – Present
Master of Science in Physics (M.Sc) · Fast Track
Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran
Research: tortuosity models and deep-learning permeability prediction in porous rocks.
2021 – 2025
Bachelor of Science in Geophysics
Department of Geophysics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran