TDI

Reservoir Surveillance Fundamentals

Duration

5 Days

Start Date

27-Apr-2026

End Date

1-May-2026

Venue

ISTANBUL – TURKEY

price

1475 KD

20% discount for group above 5 attendees

 

Course Overview:

This course introduces the essential concepts and techniques of reservoir surveillance to monitor reservoir performance, optimize production, and support reservoir management decisions. Participants will learn about data acquisition, analysis methods, and interpretation tools used to track reservoir behavior over time.

Course Objectives:

By the end of this course, participants will be able to:

  • Understand the purpose and importance of reservoir surveillance
  • Identify key reservoir surveillance parameters and data sources
  • Apply methods to monitor pressure, production, and fluid characteristics
  • Use surveillance data to detect reservoir changes and issues
  • Support decision-making for reservoir management and optimization

Who Should Attend:

  • Reservoir Engineers
  • Production Engineers and Technicians
  • Geoscientists
  • Field Operations Personnel
  • Asset and Reservoir Managers

Introduction to Reservoir Surveillance

  • Definition and Objectives of Reservoir Surveillance
  • Importance for Reservoir Management and Production Optimization
  • Overview of Surveillance Technologies and Tools

Data Acquisition and Monitoring

  • Well Testing and Pressure Monitoring Techniques
  • Production Data Collection and Analysis
  • Fluid Sampling and PVT Analysis
  • Use of Downhole Sensors and Surface Monitoring Equipment

Data Analysis and Interpretation

  • Material Balance and Pressure Transient Analysis
  • Production Logging and Flow Profiling
  • Decline Curve Analysis
  • Integration of Geologic and Engineering Data

Detecting Reservoir Changes and Problems

  • Identifying Water or Gas Breakthrough
  • Detecting Formation Damage or Wellbore Issues
  • Monitoring Reservoir Compartmentalization and Communication
  • Surveillance for Enhanced Oil Recovery (EOR) Performance

Applications in Reservoir Management

  • Making Informed Decisions Based on Surveillance Data
  • Surveillance-Driven Reservoir Modeling and Simulation
  • Planning Workovers, Stimulation, and Field Development
  • Case Studies Demonstrating Effective Surveillance Programs