Publications
Preprint · SSRN Electronic Journal · January 1, 2021
Quantification of Resistivity to Determine Foam Propagation in Sandstone Reservoir
Javed Akbar Khan, Karina Aryanti Permatasar, Sonny Irawan, Patrick G. Verdin
Enhanced Oil Recovery TechniquesGeophysical and Geoelectrical MethodsReservoir Engineering and Simulation Methodsfoam floodingfoam propagationresistivity measurement
More by Sonny Irawan
- An explainable physics-informed neural network prototype for synthetic proppant transport in a two-dimensional fracture domainPhysics of Fluids · 2026
- Physics‐Guided Neural Regression Modeling of Energy‐Balance Proxies for Hydraulic Fracture Propagation in 1D–3DInternational Journal for Numerical and Analytical Methods in Geomechanics · 2026
- Modeling and Prediction of Kappaphycus alvarezii Viscosity Using Artificial Neural Network and Adaptive Neuro-Fuzzy Inference SystemJournal of Earth Energy Science Engineering and Technology · 2025 · Citations: 1
- Physics-Informed Machine Learning for Predicting Drilling Fluid Losses in Naturally Fractured Caspian FormationsSPE Annual Caspian Technical Conference and Exhibition · 2025 · Citations: 4