My research group is currently working on oil and gas reservoir simulation and experimental studies. We have developed machine learning based algorithms which can predict oil and gas well rates quickly and efficiently. These algorithms include predictions being made by purely field data as well as by physics-based machine learning. We are also investigating efficient workflows to test reservoir rock samples through experimental and simulation methods to determine suitability of an Enhanced Oil Recovery (EOR) technique for the corresponding reservoir. This includes conducting reservoir core testing and developing software tools to select most efficient Enhanced Oil Recovery (EOR) methodologies for a given reservoir. We are also doing research in petroleum reservoir production history matching to determine reservoir properties through inverse modelling.
Co-Principal Investigator
- Evaluation of the Carbon Sequestration Potential of the Indian Basalt rocks via Mienralization (Koyna Warna region): Providing Field Recommendations for conducting a CO2 Geo-storage Pilot. Ministry of Earth Sciences
Ph. D. Students
Abhinav Kumar Singh
Area of Research: Reservoir Characterization and Carbon Storage
Ahmad Raza
Area of Research: Reservoir Characterization and CCUS
Akshay Chandan Dey
Area of Research: Reservoir Engineering
Atman Madhumaya
Area of Research: Reservoir Engineering
Ihtasamul Hasan Jahan
Area of Research: Reservoir Engineering and Carbon Storage
Nabin Dalua
Area of Research: Carbon Capture and Storage
Nitesh
Area of Research: Enhanced Oil Recovery
Rajanikant Rout
Area of Research: Reservoir Engineering
Saswati Paul
Area of Research: Hydrocarbon Reservoir Simulation
Shweta Rai
Area of Research: Reservoir Characterization
Soumyaranjan Jena
Area of Research: Reservoir Engineering
Subrata Parida
Area of Research: Reservoir Characterization and Carbon Sequestration
