M.Tech in Petroleum Engineering
Semester-wise syllabus for an M.Tech in Petroleum Engineering
Semester 1: Core Foundations
Courses:
1. Advanced Reservoir Engineering
- Reservoir rock and fluid properties, Darcy’s law, material balance equations, and reservoir simulation basics.
2. Drilling Engineering
- Well design, drilling fluids, casing design, blowout prevention (BOP), and directional drilling.
3. Formation Evaluation
- Well logging (gamma ray, resistivity, neutron-density), core analysis, and petrophysical interpretation.
4. Petroleum Geology
- Sedimentary basins, hydrocarbon traps, source rock characterization, and seismic interpretation.
5. Research Methodology
- Technical writing, statistical tools (Python/MATLAB), and data analysis for reservoir modeling.
Labs/Workshops:
- Reservoir Simulation Lab (PETREL, Eclipse)
- Drilling Fluids Lab (rheology, mud testing)
Semester 2: Advanced Topics & Electives
Core Courses:
1. Production Engineering
- Nodal analysis, artificial lift systems (ESP, gas lift), and flow assurance (wax, hydrate mitigation).
2. Enhanced Oil Recovery (EOR)
- Thermal, chemical, and gas injection methods, and EOR screening criteria.
Electives (Examples):
- Offshore Drilling and Production (subsea systems, floating platforms)
- Unconventional Resources (shale gas, tight oil, coalbed methane)
- Petroleum Economics and Risk Analysis
- Natural Gas Engineering (LNG, gas processing, pipelines)
- Health, Safety, and Environment (HSE) in Oil & Gas
Labs/Workshops:
- Production Optimization Lab (PROSPER, PIPESIM)
- EOR Simulation Lab (CMG, Eclipse EOR modules)
Semester 3: Specialization & Project Work
Electives (Examples):
- Reservoir Simulation and Modeling (history matching, uncertainty analysis)
- Hydraulic Fracturing Design (frac fluid chemistry, proppant selection)
- Digital Oilfield Technologies (IoT, AI/ML for reservoir management)
- Carbon Capture, Utilization, and Storage (CCUS)
- Petroleum Data Analytics (machine learning for production forecasting)
Project/Dissertation:
- Phase 1: Topic selection (e.g., optimizing hydraulic fracturing in shale, AI-driven reservoir modeling), literature review, and proposal.
- Seminars: Presentations on trends like energy transition, digital twins, or sustainable petroleum practices.
Semester 4: Thesis/Project Completion
Thesis/Project:
- Full-time focus on simulations (reservoir/economic modeling), field studies, or experimental work (e.g., core flooding for EOR).
- Final documentation, viva voce defense, and collaboration with industry (e.g., ONGC, Schlumberger, Halliburton).
Additional Components:
- Industrial Internship (optional, with oil majors, service companies, or consultancies).
- Workshops: Training in PETREL Advanced, WellTest (Kappa), or CCUS technologies.
Elective Tracks (Specializations):
1. Reservoir Engineering
- Dynamic reservoir modeling, EOR strategies, and reserves estimation.
2. Drilling and Well Engineering
- Advanced drilling technologies, well integrity, and managed pressure drilling.
3. Unconventional Resources
- Shale gas/oil, hydraulic fracturing optimization, and geomechanics.
4. Energy Transition and Sustainability
- CCUS, hydrogen energy integration, and ESG compliance.