Publications
Book chapter · Springer eBooks · January 1, 2018
Optimization of Mud Injection Pressure in Oil Drilling Using Duelist Algorithm
Totok R. Biyanto, Kukuh Gharyta, Gabriella P. Dienanta, Nanda E. Tama, Arfiq I. Abdillah, Matradji
Drilling and Well EngineeringMetaheuristic Optimization Algorithms ResearchAdvanced machining processes and optimizationdrilling fluidspressure drop minimizationBingham model
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
