Publications
Article · Journal of Petroleum Science and Engineering · May 24, 2021
Development of a modified Bourgoyne and Young model for predicting drilling rate
Arina Sauki, Putri Faizura Megat Khamaruddin, Sonny Irawan, Imros B. Kinif, Syahrir Ridha, Sherif Abdulbari Ali
Drilling and Well EngineeringTunneling and Rock MechanicsAdvanced machining processes and optimizationrate of penetration predictioncarbonate formationmud loss
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
