Reservoir Management

Module 1: Introduction to Reservoir Management

Definition and objectives

Historical perspective and evolution

Key disciplines involved (Geoscience, Engineering, Economics, etc.)

Integrated reservoir management approach

Module 2: Reservoir Characterization

Data acquisition: seismic, well logs, core data

Geological modeling and interpretation

Petrophysical analysis

Static reservoir models

Module 3: Reservoir Fluid Properties

PVT analysis

Phase behavior of reservoir fluids

Fluid sampling and laboratory measurements

EOS models and black oil models

Module 4: Reservoir Drive Mechanisms

Solution gas drive

Gas cap drive

Water drive

Combination drives

Impact on recovery and management strategies

Module 5: Reservoir Engineering Fundamentals

Material balance equations

Reservoir volumetrics

Decline curve analysis

Well testing and pressure transient analysis

Module 6: Dynamic Reservoir Modeling

History matching

Simulation model construction

Predictive simulations

Uncertainty and sensitivity analysis

Module 7: Enhanced Oil Recovery (EOR)

Primary, secondary, and tertiary recovery methods

Waterflooding and gas injection

Chemical, thermal, and microbial methods

EOR screening criteria and implementation

Module 8: Field Development Planning

Well placement and drilling strategies

Surface facility planning

Economic evaluation and risk analysis

Production forecasting and optimization

Module 9: Reservoir Monitoring and Surveillance

Production data analysis

Infill drilling and well interventions

4D seismic and time-lapse analysis

Intelligent well systems

Module 10: Reservoir Management Strategy and Decision Making

Production optimization techniques

Integrated asset modeling

Portfolio management

Sustainability and environmental considerations

Module 11: Case Studies and Field Applications

Integrated reservoir management case studies

Lessons learned from mature fields

Digital oilfield technologies in reservoir management

Module 12: Emerging Trends and Technologies

Machine learning and data analytics

Carbon capture and storage (CCS)

Unconventional reservoir management

ESG and digital transformation in reservoir management