Course Overview

Day-by-Day Outline

Day 1 – Fundamentals of Reservoir Surveillance

•  Objectives of reservoir surveillance
•  Key surveillance data types: production, pressure, saturation
•  Surveillance planning during field development
•  Monitoring strategies for primary, secondary, and tertiary recovery
•  Exercise: Develop a basic surveillance plan for a greenfield asset

Day 2 – Production Data Surveillance

•  Production allocation and measurement techniques
•  Decline curve analysis for performance monitoring
•  Identifying production anomalies (water/gas breakthrough, sanding)
• - Integrating production trends with reservoir models
•  Workshop: Analyze historical production data for early warning signs

Day 3 – Pressure and Saturation Surveillance

•  Pressure monitoring methods: static surveys, permanent gauges
•  Saturation monitoring: pulsed neutron logs, saturation logs, 4D seismic basics
•  Analyzing pressure and saturation trends for reservoir management
•  Diagnosing reservoir compartmentalization and connectivity
•  Exercise: Interpret pressure build-up data for reservoir continuity assessment

Day 4 – Advanced Surveillance Tools and Techniques

•  Smart wells and permanent downhole monitoring systems (PDMS)
•  Fiber optic technologies (DTS/DAS) for reservoir monitoring
•  Integrated surveillance dashboards and digital solutions
•  Case studies of advanced surveillance systems in mature fields
•  Workshop: Design a modern surveillance solution using smart technologies

Day 5 – Data Integration, Optimization, and Reporting

•  Integrating surveillance data with geological and simulation models
•  Using surveillance data to optimize well performance and reservoir management
•  Communicating surveillance findings through reports and presentations
•  Case studies of surveillance-driven production optimization
•  Capstone Project: Build a comprehensive surveillance and optimization plan for a hypothetical field

Expected Learning Outcomes

•  Design and implement effective reservoir surveillance programs
•  Interpret production, pressure, and saturation data for reservoir performance
•  Utilize advanced surveillance tools and smart technologies
•  Integrate surveillance findings into reservoir models for optimization
•  Communicate surveillance results to support field management decisions