Production Logging and Well Performance Diagnostics Training Course

Oil and Gas

Production Logging and Well Performance Diagnostics Training Course is designed to equip oil and gas professionals with advanced technical knowledge and practical skills for evaluating well performance, diagnosing production challenges, and optimizing hydrocarbon recovery.

Course Overview

Production Logging and Well Performance Diagnostics Training Course

Introduction

Production Logging and Well Performance Diagnostics Training Course is designed to equip oil and gas professionals with advanced technical knowledge and practical skills for evaluating well performance, diagnosing production challenges, and optimizing hydrocarbon recovery. The course explores the principles of production logging, well integrity assessment, production profiling, downhole measurement technologies, reservoir inflow analysis, and well performance optimization. Participants will learn how to interpret production logging tool data, evaluate multiphase flow behavior, identify water and gas entry points, detect behind-casing flow, and assess the contribution of individual reservoir intervals to total well production. Through modern diagnostic techniques and data-driven interpretation, the program supports improved production efficiency, reduced intervention costs, enhanced reservoir management, and more reliable decision-making throughout the well lifecycle.

As the oil and gas industry increasingly adopts digital oilfield technologies, real-time production surveillance, advanced well diagnostics, and predictive analytics, the ability to identify and resolve well performance problems has become essential for maximizing asset value. This course examines practical approaches to diagnosing declining production rates, excessive water production, gas breakthrough, artificial lift inefficiencies, formation damage, and mechanical well integrity issues. Participants will develop competencies in integrating production logs with pressure-transient analysis, well testing, completion data, reservoir simulation, and historical production trends to establish reliable root-cause diagnoses. Industry-based case studies, technical exercises, and scenario-driven learning will demonstrate how production logging results can guide workover planning, water shutoff, zonal isolation, completion optimization, and production enhancement strategies. By completing this training, participants will be better prepared to implement evidence-based well interventions, improve production uptime, optimize recovery factors, reduce non-productive expenditure, and strengthen overall oil and gas asset performance.

Course Duration

5 days

Course Objectives

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

  1. Explain the fundamental principles of production logging and advanced well performance diagnostics in oil and gas operations.
  2. Identify appropriate production logging tools and downhole measurement technologies for different well conditions.
  3. Interpret production logging data to evaluate inflow profiles, fluid movement, and zonal contribution.
  4. Diagnose abnormal well performance, including declining productivity, excessive water cut, and gas breakthrough.
  5. Apply multiphase flow analysis to identify oil, gas, and water entry points within producing wells.
  6. Evaluate well integrity problems, including behind-casing flow, channeling, and unwanted fluid communication.
  7. Integrate production logs with well testing, pressure data, and reservoir simulation for comprehensive diagnostics.
  8. Assess formation damage, skin effects, and completion-related restrictions affecting well productivity.
  9. Use data analytics and digital oilfield workflows to improve production surveillance and identify performance anomalies.
  10. Evaluate artificial lift performance and diagnose production constraints in lift-assisted wells.
  11. Develop effective well intervention strategies based on production logging evidence and root-cause analysis.
  12. Optimize water shutoff, zonal isolation, and completion remediation decisions to improve hydrocarbon recovery.
  13. Prepare technically sound diagnostic reports and recommendations that support production optimization, cost reduction, and asset value enhancement.

Target Audience

  1. Petroleum engineers and production engineers.
  2. Reservoir engineers and reservoir management specialists.
  3. Well intervention and well services engineers.
  4. Production logging and wireline specialists.
  5. Well integrity and completion engineers.
  6. Artificial lift and production optimization professionals.
  7. Field production supervisors and operations managers.
  8. Oil and gas asset managers, technical consultants, and well performance analysts.

Course Modules

Module 1: Fundamentals of Production Logging and Well Diagnostics

  • Principles and objectives of production logging in oil and gas wells.
  • Relationship between reservoir deliverability, well productivity, and production performance.
  • Types of production logging tools and their operational applications.
  • Overview of downhole measurements, including pressure, temperature, flow, and fluid identification.
  • Case Study: Establishing the cause of declining production in a mature oil well using historical production data and initial logging results.

Module 2: Production Logging Tools and Measurement Technologies

  • Spinner flowmeters and their application in identifying fluid velocity and flow distribution.
  • Temperature, pressure, and noise logging for diagnosing downhole flow behavior.
  • Capacitance, resistivity, and other fluid identification technologies for multiphase environments.
  • Advanced production logging tool strings, sensors, calibration, and measurement limitations.
  • Case Study: Selecting an appropriate production logging tool combination for a deviated well producing oil, gas, and water.

Module 3: Production Profiling and Multiphase Flow Interpretation

  • Analysis of inflow contribution from individual perforations and reservoir intervals.
  • Interpretation of spinner surveys under single-phase and multiphase flow conditions.
  • Evaluation of phase holdup, flow regimes, and fluid velocity profiles.
  • Identification of crossflow, behind-casing movement, and unexpected fluid entry.
  • Case Study: Diagnosing uneven zonal contribution in a multilayer reservoir and recommending production allocation improvements.

Module 4: Well Performance Analysis and Root-Cause Diagnostics

  • Analysis of production decline, productivity index, and inflow performance relationships.
  • Diagnosis of excessive water production, gas coning, and premature gas breakthrough.
  • Evaluation of formation damage, near-wellbore restrictions, and completion inefficiencies.
  • Integration of production logs with pressure-transient analysis and well test results.
  • Case Study: Investigating a sudden increase in water cut and identifying the likely source of unwanted water entry.

Module 5: Well Integrity, Completion Evaluation, and Flow Assurance

  • Detection of behind-casing flow, casing leaks, and unwanted fluid communication.
  • Assessment of cement isolation effectiveness and potential channeling.
  • Evaluation of tubing, packer, and completion-related performance problems.
  • Identification of scale, wax, sand production, and other restrictions affecting well flow.
  • Case Study: Combining temperature and noise logs with integrity records to investigate suspected behind-casing communication.

Module 6: Artificial Lift Diagnostics and Production Optimization

  • Evaluation of electrical submersible pumps, gas lift systems, and rod pump performance.
  • Diagnosis of artificial lift underperformance using production and pressure data.
  • Identification of gas interference, pump inefficiency, and operating constraints.
  • Optimization of lift parameters using well surveillance and production trends.
  • Case Study: Investigating declining output from an ESP-equipped well and determining whether the primary constraint is reservoir inflow or lift-system performance.

Module 7: Advanced Data Integration, Digital Oilfield, and Predictive Analytics

  • Integration of production logging data with SCADA, well testing, and production databases.
  • Application of trend analysis and anomaly detection to identify emerging well problems.
  • Use of reservoir simulation and nodal analysis to evaluate production constraints.
  • Application of automated workflows and predictive analytics to support well performance monitoring.
  • Case Study: Combining historical production data, pressure trends, and diagnostic logs to prioritize underperforming wells for intervention.

Module 8: Well Intervention Planning and Production Enhancement Strategies

  • Translation of diagnostic findings into practical well intervention recommendations.
  • Selection of remedial options, including water shutoff, reperforation, stimulation, and zonal isolation.
  • Economic evaluation of workover alternatives, intervention risks, and expected production gains.
  • Development of post-intervention monitoring plans and performance verification criteria.
  • Case Study: Preparing an intervention proposal for a mature oil well with high water production, declining oil output, and multiple producing intervals.

Training Methodology

  • Interactive lectures and presentations.
  • Group discussions and brainstorming sessions.
  • Hands-on exercises using real-world datasets.
  • Role-playing and scenario-based simulations.
  • Analysis of case studies to bridge theory and practice.
  • Peer-to-peer learning and networking.
  • Expert-led Q&A sessions.
  • Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.

Frequently Asked Questions

What certificate will I receive upon completing this course?

Participants who successfully complete the Production Logging and Well Performance Diagnostics Training Course course receive an accredited Certificate of Completion issued by Datastat Training Institute, validating practical competencies and skills gained.

Is this course offered online or in-person?

Datastat offers flexible training options including in-person physical classes at our Nairobi training center and live virtual interactive sessions accessible globally.

How long is the training program?

The course is conducted over 5 days of intensive, hands-on professional learning, combining foundational concepts with real-world case studies and practical exercises.

Are group discounts available for corporate teams?

Yes. We offer customized corporate rates and group discounts for organizations and teams registering multiple participants. Contact our training coordinator for a customized quote.

Course Information

Duration: 5 days

Related Courses

HomeCategoriesSkillsLocations