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Mastering Risk-Based Inspection for Future-Proof Asset Integrity Management

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Mastering Risk-Based Inspection for Future-Proof Asset Integrity Management

You’re under pressure. Assets are aging. Budgets are tightening. And the cost of failure-whether environmental, financial, or reputational-is rising exponentially. You need certainty, not guesswork. You need a system that turns reactive maintenance into proactive, data-driven integrity assurance.

Yet traditional inspection planning leaves too much to chance. Fixed schedules miss emerging threats, waste resources on low-risk equipment, and fail to align with actual operational risk. You’re either over-inspecting or under-protected-and either way, you’re exposed.

Mastering Risk-Based Inspection for Future-Proof Asset Integrity Management is the breakthrough you’ve been waiting for. This is not theory. It’s a field-tested, implementable methodology that enables engineering and operations leaders to transition from calendar-based guesswork to precision-driven risk intelligence.

Through this course, you’ll go from uncertainty to confidence, transforming your inspection strategy into a board-ready, audit-proof framework that reduces downtime by up to 40%, cuts inspection costs by 30%, and dramatically improves safety and compliance outcomes-all within 60 days of implementation.

Raul Mendez, Lead Integrity Engineer at a major LNG facility in Southeast Asia, used this exact method to redesign his site’s inspection program. In less than four months, he reduced unplanned shutdowns by 55% and secured $2.8M in capital approval for digital integrity monitoring-all because he could now prove where risk truly lay.

This is not another generic compliance checklist. It’s your professional edge. A framework trusted by asset managers across oil and gas, power generation, and chemical processing to future-proof their operations against disruption, obsolescence, and regulatory scrutiny.

Here’s how this course is structured to help you get there.



Course Format & Delivery Details

Flexible, Self-Paced Learning Designed for Senior Engineering & Operational Leaders

This course is fully self-paced, with immediate online access upon enrollment. There are no fixed start dates, no mandatory live sessions, and no rigid time commitments. You control your learning journey-study during early mornings, late evenings, or between site visits. Progress at the speed that fits your real-world responsibilities.

Most learners complete the core curriculum in 50 to 60 hours, with many applying critical components-like risk ranking templates and inspection prioritisation matrices-within the first two weeks. Real impact starts early, not after completion.

Lifetime Access, Zero Expiry, Continuous Updates

Your enrolment includes lifetime access to all course materials, including future updates. As standards evolve and new methodologies emerge-API, ASME, ISO, and beyond-the course content evolves with them, at no additional cost. This is a one-time investment in a living, growing asset for your career and organisation.

  • Access your materials anytime, anywhere-24/7 global availability
  • Full mobile compatibility-review frameworks on tablet or smartphone during plant walks
  • Designed for seamless integration into your daily workflow, not disruption

Direct, Actionable Support from Industry-Experienced Instructors

You are not learning in isolation. Throughout the course, you’ll have direct access to instructor guidance through structured review checkpoints and expert feedback on applied exercises. Whether you're applying risk matrices to pipework or validating degradation mechanisms in pressure vessels, you’ll receive targeted, context-specific support that accelerates mastery.

Certificate of Completion Issued by The Art of Service

Upon successful completion, you’ll earn a globally recognised Certificate of Completion issued by The Art of Service, a leading authority in professional engineering education and asset management training. This certificate is shareable on LinkedIn, verifiable by employers, and respected across energy, industrial, and infrastructure sectors worldwide.

No Hidden Fees. No Surprises. Full Transparency.

The price you see is the price you pay-no hidden fees, no upsells, no subscription traps. One straightforward investment. Secure payment processing accepts Visa, Mastercard, and PayPal, ensuring fast, frictionless enrolment.

100% Money-Back Guarantee: Satisfied or Refunded

Your success is our priority. If you complete the first two modules in full and find the course does not deliver immediate, tangible value, simply request a refund within 30 days. No questions asked. We remove the risk so you can focus on the reward.

Instant Confidence, Delivered Securely

After enrolling, you’ll receive a confirmation email. Your access credentials and course entry details will be delivered separately once your enrolment is fully processed. This ensures secure, accurate provisioning of your learning environment.

This Works Even If…

You’ve tried risk-based methodologies before and found them too complex or poorly implemented. This course cuts through the noise. It’s not a one-size-fits-all academic treatment. It’s a step-by-step, role-specific blueprint that works even if:

  • You lead a team with mixed experience levels in RBI
  • Your assets span multiple classes-from rotating equipment to storage tanks and piping systems
  • You operate under tight compliance scrutiny (API 580/581, ISO 55000, PSM, or Seveso frameworks)
  • You’ve struggled to gain leadership buy-in for inspection optimisation projects
Like Sarah Lin, a Reliability Manager in the North Sea offshore sector, who used the risk communication templates from this course to win executive support for a site-wide RBI rollout-reducing non-essential inspections by 37% while improving coverage of high-risk zones.

This is your risk-reversal promise: you stand to gain strategic clarity, career advancement, and organisational credibility-without downside.



Module 1: Foundations of Risk-Based Inspection and Asset Integrity

  • Understanding the limitations of time-based inspection systems
  • Defining asset integrity in high-consequence industrial environments
  • The business case for transitioning to risk-based methodologies
  • Key regulatory drivers: API 580, API 581, ISO 55000, ASME PCC-3
  • Core principles of risk: probability of failure and consequence of failure
  • Identifying critical equipment using consequence categorisation
  • The role of RBI in digital transformation and predictive maintenance strategies
  • Differentiating between qualitative, semi-quantitative, and quantitative RBI
  • Aligning RBI with organisational risk appetite and safety culture
  • Understanding loss of containment scenarios and domino effects
  • Calculating financial, environmental, and safety consequences
  • The influence of facility location on consequence modelling
  • Balancing inspection costs against potential failure impact
  • Integrating RBI with existing maintenance management systems (CMMS/EAM)
  • Case study: Comparing time-based vs. risk-based inspection on a refinery distillation unit


Module 2: Risk Assessment Framework and Methodology

  • Establishing a consistent risk assessment framework
  • Defining risk tolerance criteria aligned with company policy
  • Constructing risk matrices for asset prioritisation
  • Setting risk targets for low, medium, high, and extreme categories
  • Understanding acceptable risk levels in different sectors (upstream, downstream, midstream)
  • Mapping assets to process units and criticality tiers
  • Assigning initial risk scores using historical failure data
  • Adjusting risk based on site-specific operating conditions
  • Handling uncertainty in risk judgments with sensitivity analysis
  • Using risk heat maps for visualisation and stakeholder communication
  • Validating risk assumptions with operational leads and process safety teams
  • Incorporating bow-tie diagrams into risk assessment
  • Linking risk outcomes to inspection intervals and resource planning
  • Documenting risk decisions for audit readiness
  • Case study: Risk ranking of a gas processing plant’s pressure vessels


Module 3: Degradation Mechanisms and Failure Modelling

  • Overview of common degradation mechanisms in pressure equipment
  • Corrosion under insulation (CUI): detection, prevention, and inspection strategies
  • Erosion-corrosion in high-velocity fluid systems
  • High temperature hydrogen attack (HTHA) in refinery units
  • Wet H2S cracking and stress corrosion cracking (SCC)
  • Thermal fatigue and thermal aging in cyclic operations
  • Fretting, cavitation, and impingement damage
  • Creep and reheat cracking in high-temperature components
  • Brittle fracture risks in low-temperature applications
  • Galvanic corrosion in dissimilar metal joints
  • Selecting materials resistant to dominant degradation modes
  • Failure mode and effects analysis (FMEA) for inspection planning
  • Modelling time-to-failure using degradation rates
  • Using historical inspection data to refine failure probability estimates
  • Case study: Degradation assessment of a sour water stripper column


Module 4: Data Collection and Equipment Information Requirements

  • Essential data for accurate risk assessment: P&IDs, material specs, design codes
  • Extracting operational history from process data logs
  • Collecting inspection history: UT readings, NDE reports, findings logs
  • Compiling maintenance work orders and repair records
  • Verifying construction and fabrication documentation
  • Assessing coating and insulation condition for external threats
  • Using asset registers to populate RBI inputs
  • Integrating process chemistry data (pH, H2S content, chlorides)
  • Obtaining fluid phase information: gas, liquid, slurry
  • Identifying operational upsets and transient conditions
  • Mapping operating temperature and pressure ranges over time
  • Assessing potential for under-deposit corrosion
  • Documenting previous failures and near misses
  • Handling missing or incomplete data: assumptions and uncertainty factors
  • Case study: Data reconciliation for a brownfield petrochemical revamp


Module 5: Probability of Failure Analysis and Modelling

  • Understanding PoF as a time-dependent variable
  • Baseline PoF calculation using industry default values
  • Adjusting PoF for inspection effectiveness and quality
  • Modelling PoF with and without prior inspections
  • The impact of inspection interval on risk reduction
  • Differentiating between inherent and effective PoF
  • Using Bayesian inference to update PoF after inspections
  • Accounting for NDE method reliability (RT, UT, MPI, etc.)
  • Assigning inspection confidence factors based on technique and personnel
  • Modelling PoF for multiple damage mechanisms acting simultaneously
  • Using FIT (failures in time) data for rotating equipment
  • Handling uncertainty bands in PoF estimates
  • Validating PoF models with failure databases (OREDA, PRIS, etc.)
  • Building PoF sensitivity to operating conditions
  • Case study: PoF assessment of a high-pressure hydrocracker reactor


Module 6: Consequence of Failure Analysis and Quantification

  • Types of consequence: safety, environmental, business interruption, repair cost
  • Estimating release rates using API 581 methodology
  • Determining flammable, toxic, and overpressure release scenarios
  • Calculating pool fire, jet fire, and flash fire extents
  • Modelling toxic gas dispersion using Gaussian plume models
  • Estimating evacuation zones and impact on personnel
  • Assessing environmental damage: soil, groundwater, marine impact
  • Calculating business interruption costs per hour of downtime
  • Estimating repair time and material replacement costs
  • Using consequence worksheets for standardised documentation
  • Incorporating escalation factors for major incident scenarios
  • Handling multi-equipment and domino effect consequences
  • Valuation of brand reputation and regulatory penalties
  • Presenting consequence outcomes to non-technical stakeholders
  • Case study: Consequence analysis of a large crude oil storage tank


Module 7: Risk Integration, Ranking, and Visualisation

  • Combining PoF and CoF into risk rankings
  • Using multiplicative vs. lookup table methods for risk calculation
  • Creating risk matrices tailored to facility-specific thresholds
  • Generating risk heat maps for asset portfolios
  • Identifying high-risk outliers requiring immediate attention
  • Prioritising inspection efforts based on risk tiers
  • Differentiating between total risk and incremental risk reduction
  • Tracking risk movement over time (risk trending)
  • Reporting risk results to management and boards
  • Using dashboards for real-time risk monitoring
  • Translating risk scores into inspection intervals
  • Setting triggers for re-assessment after process or equipment changes
  • Integrating risk rankings with work order systems
  • Case study: Risk ranking of a combined cycle power plant’s HRSG units
  • Benchmarking risk profiles against industry peers


Module 8: Inspection Planning and Strategy Optimisation

  • Transitioning from risk ranking to inspection plans
  • Determining optimal inspection intervals using risk targets
  • Using risk-based inspection intervals vs. code-based minimums
  • Calculating inspection effectiveness for different NDE methods
  • Selecting inspection techniques based on degradation mechanisms
  • Specifying inspection coverage (spot, line, area, volumetric)
  • Planning partial vs. full vessel inspections
  • Using phased array, TOFD, and guided wave for critical zones
  • Incorporating robotic and drone-based inspections
  • Planning for inspection access and scaffolding requirements
  • Scheduling inspections around turnarounds and outages
  • Aligning inspection plans with management of change (MOC)
  • Developing risk-based thickness measurement plans
  • Using fitness-for-service (FFS) assessments to extend run times
  • Case study: Outage planning for an ethylene cracker using RBI


Module 9: Advanced RBI Techniques and Digital Integration

  • Integrating RBI with digital twins and asset performance models
  • Using machine learning to predict degradation rates
  • Linking RBI data to IIoT sensors and real-time monitoring
  • Automated risk recalculation using live process data
  • Dynamic RBI for continuously updated risk profiles
  • Incorporating remaining life assessment (RLA) into RBI
  • Using Monte Carlo simulation for probabilistic risk analysis
  • Advanced uncertainty quantification in RBI models
  • Integrating with PHA, LOPA, and SIL assessment data
  • Applying RBI to rotating equipment (pumps, compressors, turbines)
  • Case study: Dynamic RBI implementation in a smart refinery
  • Handling RBI for non-metallic and composite equipment
  • Extending RBI to piping networks and flare systems
  • Using API 581 Part 3 for probabilistic methodology
  • RBI for offshore and subsea infrastructure


Module 10: Implementation Roadmap and Organisational Change

  • Developing a phased RBI rollout plan
  • Gaining buy-in from operations, safety, and finance teams
  • Building a cross-functional RBI implementation team
  • Defining roles and responsibilities for data collection and analysis
  • Training inspection and engineering staff on RBI principles
  • Creating standard operating procedures (SOPs) for RBI execution
  • Establishing data quality control processes
  • Conducting pilot projects to demonstrate value
  • Measuring ROI: cost savings, risk reduction, downtime avoidance
  • Integrating RBI into management review and audit cycles
  • Scaling RBI from single units to enterprise-wide programs
  • Handling resistance to change in conservative engineering cultures
  • Communicating RBI results to executives and boards
  • Using templates for presentation to regulators
  • Case study: Enterprise RBI deployment across a global refining network


Module 11: Audit Readiness, Compliance, and Documentation

  • Preparing for API 580 and API 581 compliance audits
  • Documenting every step of the RBI process
  • Creating traceable records for assumptions and adjustments
  • Validating RBI models with third-party review
  • Meeting requirements for PSM, COMAH, and other regulatory regimes
  • Integrating RBI into process safety management systems
  • Preparing RBI technical basis documents
  • Handling auditor questions about model accuracy
  • Using RBI to support life extension projects
  • Documenting risk acceptance decisions
  • Archiving and versioning RBI assessments
  • Ensuring data security and confidentiality
  • Aligning with ISO 55001 asset management standards
  • Supporting due diligence in M&A activities
  • Case study: API 580 audit preparation for a major chemical plant


Module 12: Certification, Continuous Improvement & Next Steps

  • Reviewing key learning outcomes and practical applications
  • Synthesising your RBI implementation plan
  • Completing the final assessment for Certificate of Completion
  • Earning your verified Certificate of Completion issued by The Art of Service
  • Adding your certification to LinkedIn and professional profiles
  • Accessing post-course templates and job aids
  • Joining the global alumni network of asset integrity professionals
  • Receiving updates on new methodologies and industry shifts
  • Progress tracking and gamified learning achievements
  • Setting personal and team milestones for RBI adoption
  • Exploring advanced pathways: API 580 certification, digital FFS, AI in asset health
  • Participating in exclusive practitioner forums
  • Accessing model RBI reports and redline examples
  • Using pre-built Excel and software-agnostic tools
  • Planning your next inspection optimisation initiative with confidence