Course Objective

·         Develop strategic maintenance plans to enhance equipment reliability and availability.

·         Apply reliability engineering principles to optimize maintenance processes.

·         Implement predictive maintenance techniques to prevent unplanned failures.

·         Conduct failure analysis and root cause assessments to improve asset performance.

·         Utilize risk-based maintenance planning to prioritize critical assets and optimize resources.

·         Integrate condition monitoring technologies for early failure detection.

·         Develop and execute shutdown and turnaround maintenance plans effectively.

·         Analyze maintenance performance metrics to drive continuous improvement.

Course Outline

 Day 1:

Fundamentals of Maintenance Planning and Reliability Engineering

 

·         Introduction to Maintenance Strategies in Oil & Gas Operations.

·         Overview of maintenance planning importance.

·         Key challenges in equipment maintenance.

·         Types of Maintenance Approaches.

·         orrective maintenance (CM).

·         Preventive maintenance (PM).

·         Predictive maintenance (PdM).

·         Reliability-centered maintenance (RCM).

·         Risk-based maintenance (RBM).

·         Understanding Mechanical Equipment Failure Mechanisms.

·         Wear and fatigue failure modes.

·         Reliability Engineering Principles for Maintenance Optimization.

·         Asset life cycle and reliability growth.

·         Mean time between failures (MTBF) and mean time to repair (MTTR).

Day 2:

 Advanced Maintenance Planning and Scheduling Techniques

 

·         Maintenance Work Planning Process.

·         Work identification and prioritization.

·         Developing a structured maintenance work plan.

·         Work Order Management and Execution.

·         Workflow optimization for maintenance tasks.

·         Maintenance job planning and resource allocation.

·         Preventive and Predictive Maintenance Implementation.

·         Condition-based maintenance (CBM) strategies.

·         Integrating predictive maintenance with IoT and AI technologies.

·         Shutdown and Turnaround Planning for Mechanical Equipment.

·         Stages of shutdown and turnaround execution.

 

·         Key considerations in major maintenance events.

Day 3:

Failure Analysis and Reliability Engineering Applications

 

·         Failure Modes and Effects Analysis (FMEA) in Maintenance.

·         Identifying potential failure modes.

·         Assessing failure impacts and prioritization.

·         Root Cause Analysis (RCA) and Corrective Actions.

·         Systematic problem-solving approaches.

·         Developing corrective and preventive action plans (CAPA).

·         Risk-Based Maintenance Planning and Criticality Assessment.

·         Equipment criticality ranking methodologies.

·         Risk assessment techniques in maintenance planning.

·         Reliability Data Analysis and Performance Optimization.

·         Maintenance performance indicators (KPIs).

·         Reliability improvement initiatives and cost-benefit analysis.

Day 4:

  Asset Integrity and Digital Maintenance Solutions

 

·         Asset Integrity Management and Mechanical Equipment Reliability.

·         Key principles of asset integrity in oil and gas facilities.

·         Compliance with regulatory and safety standards.

·         Condition Monitoring and Predictive Maintenance Technologies.

·         Vibration analysis, thermography, ultrasonic testing.

·         AI and machine learning applications in reliability engineering.

·         Cost Optimization and Budgeting in Maintenance Planning.

·         Strategies to reduce maintenance costs while improving reliability.

 

·         Lifecycle cost analysis (LCCA) for mechanical assets.

Day 5:

  Continuous Improvement and Performance Enhancement in Maintenance

 

·         Post-Maintenance Review and Performance Evaluation.

·         Assessing maintenance effectiveness.

·         Lessons learned and best practice for future planning.

·         Optimizing Maintenance Strategies for Long-Term Reliability.

·         Implementing continuous improvement initiatives.

·         Maintenance benchmarking and performance tracking.

·         Developing an Effective Maintenance Management Framework.

·         Structuring maintenance processes for sustainability.

 

·         Digital transformation in maintenance planning.