Production Troubleshooting and Root Cause Analysis Training Course

Production Troubleshooting and Root Cause Analysis Training Course

Introduction

Production Troubleshooting and Root Cause Analysis Training Course is designed to equip oil and gas professionals with advanced technical knowledge, analytical skills, and practical methodologies for diagnosing production problems, identifying operational inefficiencies, and restoring optimal performance across petroleum production systems. In an increasingly data-driven energy industry, production engineers and operations teams must be able to detect abnormal operating conditions, investigate recurring failures, and implement effective corrective actions that improve asset reliability and operational efficiency. This comprehensive training course explores root cause analysis (RCA), production diagnostics, well performance optimization, failure mode and effects analysis (FMEA), predictive maintenance, production data analytics, and systematic troubleshooting techniques. Participants will learn how to investigate production decline, diagnose artificial lift failures, identify flow assurance challenges, analyze pressure and temperature anomalies, and resolve equipment-related production interruptions using structured problem-solving frameworks and industry best practices.

The course emphasizes practical applications of oil and gas production optimization, reliability engineering, digital oilfield technologies, condition monitoring, process performance analysis, and continuous improvement. Participants will develop the ability to distinguish symptoms from underlying causes, evaluate competing failure hypotheses, interpret production surveillance data, and prioritize corrective actions based on operational risk, production impact, cost, and safety considerations. Through real-world scenarios, interactive exercises, technical case studies, and simulated troubleshooting investigations, learners will explore how to minimize unplanned shutdowns, reduce non-productive time, prevent recurring equipment failures, and maximize production availability. The training also introduces data-driven diagnostic techniques, failure trend analysis, and performance monitoring tools that support proactive maintenance and evidence-based decision-making. By the end of the course, participants will be better prepared to lead structured troubleshooting investigations, implement sustainable corrective and preventive actions, and strengthen asset integrity, production reliability, operational excellence, and long-term petroleum asset value.

Course Duration

5 days

Course Objectives

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

1. Apply systematic root cause analysis (RCA) methodologies to identify the underlying causes of production problems and operational failures.
2. Diagnose common oil and gas production challenges using structured troubleshooting frameworks and engineering principles.
3. Interpret production surveillance data, well test results, pressure trends, temperature profiles, and flow-rate variations to detect abnormal operating conditions.
4. Utilize failure mode and effects analysis (FMEA) to evaluate equipment vulnerabilities and prioritize production risks.
5. Apply the 5 Whys, Fishbone Diagram, Fault Tree Analysis, and Pareto Analysis to investigate recurring production failures.
6. Identify causes of declining well productivity, reduced reservoir deliverability, and abnormal production behavior.
7. Troubleshoot artificial lift systems, including electric submersible pumps, gas lift, rod pumps, and associated surface equipment.
8. Evaluate flow assurance challenges, including scale deposition, wax accumulation, hydrate formation, corrosion, and solids production.
9. Integrate predictive maintenance, condition monitoring, and equipment reliability analytics into production troubleshooting activities.
10. Use production data analytics and digital monitoring tools to detect anomalies, identify failure patterns, and support operational decisions.
11. Develop effective corrective and preventive action plans to eliminate recurring problems and improve production performance.
12. Assess troubleshooting priorities using risk-based maintenance, cost-benefit analysis, process safety, and production-loss evaluation.
13. Establish continuous improvement procedures and performance indicators to measure the effectiveness of root cause investigations and corrective interventions.

Target Audience

1. Production engineers and petroleum engineers.
2. Well operations and well intervention engineers.
3. Oil and gas production supervisors and operations managers.
4. Maintenance engineers and reliability specialists.
5. Artificial lift engineers and specialists.
6. Process engineers and facilities engineers.
7. Asset integrity, inspection, and condition monitoring professionals.
8. Technical consultants, field operators, and oil and gas performance analysts.

Course Modules

Module 1: Fundamentals of Production Troubleshooting

• Principles of systematic troubleshooting in oil and gas production systems.
• Understanding production symptoms, failure mechanisms, and underlying causes.
• Establishing baseline production performance and normal operating conditions.
• Identifying abnormal pressure, temperature, flow-rate, and equipment performance.
• Developing structured troubleshooting workflows and investigation checklists.
• Case Study: Investigating a sudden decline in production from a mature oil well by comparing historical production rates, flowing pressure, water cut, and recent operating changes to identify likely causes.

Module 2: Root Cause Analysis Methodologies and Tools

• Principles and stages of root cause analysis in petroleum operations.
• Application of the 5 Whys technique to recurring operational problems.
• Developing Fishbone Diagrams to categorize technical, human, and process-related causes.
• Using Fault Tree Analysis and event analysis to investigate complex failures.
• Applying Pareto Analysis to prioritize the most significant production-loss contributors.
• Case Study: Investigating repeated shutdowns at a production facility using a Fishbone Diagram, maintenance records, and the 5 Whys technique to distinguish the initiating fault from contributing factors.

Module 3: Well Performance Diagnostics and Production Decline

• Analysis of well production history, decline trends, and performance deviations.
• Interpretation of pressure-transient data and well test results.
• Identifying reservoir, completion, and near-wellbore production constraints.
• Diagnosing water breakthrough, gas coning, sand production, and changing fluid properties.
• Evaluating production allocation data and well surveillance indicators.
• Case Study: Diagnosing declining output from a producing well by analyzing pressure data, water-cut trends, well test results, and historical interventions to determine whether the problem is reservoir-related or operational.

Module 4: Artificial Lift and Production Equipment Troubleshooting

• Troubleshooting electric submersible pumps, gas lift systems, and rod pump installations.
• Identifying pump inefficiency, gas interference, cavitation, and mechanical wear.
• Analyzing motor current, vibration, discharge pressure, and equipment operating trends.
• Investigating compressor, separator, valve, and surface pipeline performance issues.
• Developing corrective maintenance and equipment restoration strategies.
• Case Study: Investigating repeated electric submersible pump trips using motor current, intake pressure, temperature, and operating history to determine the likely failure mechanism and establish corrective actions.

Module 5: Flow Assurance and Process-Related Production Problems

• Identifying scale, wax, asphaltene, and hydrate-related production restrictions.
• Diagnosing corrosion, erosion, solids deposition, and pipeline pressure losses.
• Evaluating multiphase flow behavior and production system operating constraints.
• Investigating separator instability, slugging, and process equipment upsets.
• Selecting appropriate remediation strategies while considering safety and environmental risks.
• Case Study: Analyzing a production-rate reduction caused by suspected scale deposition in a flowline using pressure-drop trends, fluid sampling, inspection findings, and operating history to develop a suitable remediation plan.

Module 6: Data Analytics, Digital Monitoring, and Predictive Diagnostics

• Integrating production historian data, SCADA systems, and real-time monitoring platforms.
• Establishing operational baselines and detecting abnormal production patterns.
• Applying trend analysis, statistical process monitoring, and anomaly detection.
• Using predictive maintenance indicators to identify emerging equipment failures.
• Developing dashboards and key performance indicators for troubleshooting effectiveness.
• Case Study: Using real-time pressure, temperature, vibration, and flow-rate data to detect early signs of compressor degradation and recommend an intervention before a major production interruption.

Module 7: Failure Risk Assessment and Corrective Action Planning

• Conducting FMEA and risk-based prioritization of production failures.
• Evaluating production losses, repair costs, safety implications, and equipment criticality.
• Developing immediate containment measures and long-term corrective actions.
• Establishing preventive maintenance strategies and failure-prevention controls.
• Verifying corrective actions through follow-up testing and performance monitoring.
• Case Study: Prioritizing several simultaneous production issues across a field using risk rankings, deferred production estimates, equipment criticality, and repair costs to determine the optimal intervention sequence.

Module 8: Integrated Troubleshooting, Reporting, and Continuous Improvement

• Conducting end-to-end production troubleshooting investigations.
• Preparing evidence-based root cause analysis reports and technical recommendations.
• Defining corrective and preventive action ownership, deadlines, and verification criteria.
• Tracking recurring failures, downtime, mean time between failures, and production recovery.
• Establishing lessons-learned systems and continuous improvement practices.
• Case Study: Leading a multidisciplinary investigation into recurring production facility shutdowns, documenting verified root causes, assigning corrective actions, and evaluating improvements in equipment availability and production uptime.

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.