Advanced Production Logging Diagnostics and Case Studies
| 19 – 23 Jan. 2026, Abu Dhabi | 20 – 24 July 2026, Abu Dhabi |
COURSE OVERVIEW:
Advanced Production Logging (PL) Diagnostics involve the specialized interpretation of downhole sensor data to determine the fluid flow profile within a producing or injecting well. This topic is essential because surface measurements only provide a totalized view; PL tools are the "eyes" of the engineer, revealing which zones are contributing oil, water, or gas. In complex multi-layered reservoirs or horizontal wells, this knowledge is critical for diagnosing water breakthrough, identifying mechanical failures, and optimizing reservoir management strategies.
The scope of this course moves beyond basic spinner interpretation to include advanced array sensors, spectral noise logging, and pulsed neutron technologies. Key themes include the challenges of interpreting multiphase flow in deviated and horizontal wellbores, where phase segregation can lead to misleading data. By combining physics-based interpretation with real-world case studies, participants will learn how to differentiate between true reservoir flow and mechanical integrity issues like leaks or behind-casing flow.
Participants will apply the knowledge gained to plan high-impact logging campaigns, supervise field operations, and perform advanced data processing using industry software. These diagnostics lead to significant risk reduction by identifying the exact source of unwanted water or gas, allowing for precise shut-off interventions. This course drives operational excellence by ensuring that every barrel produced is from the intended zone, thereby maximizing recovery and minimizing the costs associated with handling unwanted fluids.
COURSE OBJECTIVES:
After completion of this course, the participants will be able to:
- Select the appropriate Production Logging tool string for complex well environments.
- Interpret multi-phase flow profiles in vertical, deviated, and horizontal wells.
- Utilize array sensors (MAPS, FSI) to diagnose segregated flow regimes.
- Apply Spectral Noise Logging (SNL) to identify leaks and cross-flow behind casing.
- Integrate Pulsed Neutron logs with PL data for comprehensive reservoir saturation analysis.
- Calculate zone-by-zone contributions of oil, water, and gas using spinner and holdup data.
- Identify mechanical integrity issues such as tubing leaks and packer failures.
- Diagnose water and gas breakthrough mechanisms (coning vs. channeling).
- Perform advanced data quality checks and environmental corrections on raw PL data.
- Supervise PL operations to ensure safety and high-fidelity data acquisition.
- Utilize PL diagnostics to evaluate the effectiveness of stimulation treatments.
- Present actionable intervention recommendations based on diagnostic findings.
- Master the interpretation of Temperature and Pressure profiles for flow identification.
TARGET AUDIENCE:
- Production Engineers
- Reservoir Engineers
- Well Integrity Engineers
- Petrophysicists specializing in Cased Hole
- Field Operations Supervisors
TRAINING COURSE METHODOLOGY:
A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.
The course participants shall be evaluated before, during, and at the end of the course.
COURSE CERTIFICATE:
National Consultant Centre for Training LLC (NCC) will issue an attendance certificate to all participants completing a minimum of 80% of the total attendance time requirement.

