Asep Kurnia Permadi, Prof. Ir., M.Sc., Ph.D., IPU
Professor | Reservoir Engineering
Scopus | ResearchGate | Google Scholar | Science and Technology Index
Education
Ph.D. – Petroleum Engineering, Texas A&M University, 1997
M.Sc. – Petroleum Engineering, Texas A&M University, 1994
B.Sc. – Petroleum Engineering, Institut Teknologi Bandung, Indonesia, 1987
Research Interests
- Reservoir engineering and reservoir performance simulation
- Enhanced Oil Recovery (EOR) methods and optimization
- Carbon Capture, Utilization & Storage (CCUS) for subsurface formations
- Shale gas and unconventional hydrocarbon recovery
- Numerical simulation and computational methods for reservoir modeling
Courses Taught
- TM3102 – Reservoir Engineering I
- TM3201 – Reservoir Engineering II
Selected Publications
- Fitriyati, N., Darwis, S., Gunawan, A.Y., & Permadi, A.K., “Exploring EnKF Convergence for Linear Dynamical System”, Advances and Application in Statistics, Vol. 28 (1): 45–54 (2013).
- Huy, N.X., Bae, W.S., Tran, X.V., Permadi, A.K., & Chung, T.M., “Response Surface Design for Estimating the Optimal Operating Conditions in Polymer Flooding Process”, Energy Sources, Part A, 2011.
- Wijaya, P.H., Noeradi, D., Permadi, A.K., Usman, E., & Rusli, S., “Sand Distribution Modeling of Middle Miocene Reservoir of ‘East Tarakan A Field’ in Eastern Part of Tarakan Island, East Kalimantan”, Bulletin of Recreational Marine Geology, Vol. 26 (2011).
- Permadi, A.K., et al., “Formation Damage and Permeability Impairment Associated with Chemical and Thermal Treatments”, in The Contribution of Geosciences to Human Security, Logos Verlag Berlin GmbH, 2011.
- Permadi, P., Wibowo, W., & Permadi, A.K., “Inflow Performance of a Stacked Multilateral Well”, SPE Journal of Petroleum Technology, 1998.
Professional Activities & Projects
- Evaluation of Mixed Anionic–Zwitterionic Surfactants for EOR (2025)
- Textbook Publication: Reservoir Engineering (2023)
- Development of Genetic Algorithm for Anisotropic Semivariogram Modeling (2023)
- Technical Evaluation of CCUS Implementation on Subsurface Formations in Indonesia (2023)
- Applications of Artificial Intelligence (AI) in Developing Enhanced Oil Recovery Methods (2021–2022)