Course Details

Your Growth, Our Mission

RCFA (Root Cause Failure Analysis) for Oil & Gas
Course Description

Root Cause Failure Analysis (RCFA) is a systematic, disciplined approach to identifying why equipment, systems, and processes fail, then developing corrective actions to prevent recurrence. This course builds practical, job-ready capability to investigate equipment failures and operational upsets in oil & gas—moving beyond “what happened” to why it happened, how to prove the cause(s) with evidence, and how to implement corrective actions that prevent recurrence. Trainees practice a consistent investigation workflow (problem definition → evidence & timeline → causal analysis → verified root causes → actions & follow-up), using tools that align with widely used dependability and incident-investigation guidance. 

The course is designed for: 

  • Maintenance Planners and Engineers seeking to eliminate recurring failures 

  • Operations and Production Supervisors managing equipment reliability and costs 

  • Quality Professionals and Equipment Engineers involved in failure investigations 

  • Foremen, Team Leaders, and Plant Engineers focused on operational excellence 

  • Section Engineers and System Professionals driving continuous improvement 

  • Participants require basic maintenance background but no prior RCFA   

Day 1 — Problem definition + investigation framing 

  • What RCFA is / isn’t; when to launch an RCFA (repeat failures, high riskhigh cost) 

  • Define the problem: boundaries, “what is happening” vs “why it’s happening” 

  • Levels of causes: direct / contributing / root causes (avoid blame labels) 

  • RCFA workflow: scope → evidence → analysis → causes → actions → verification 

  • Build the “problem understanding pack”: timeline + flowchart of the system/process 

  • Workshop: create a clear problem statement + initial timeline (oil & gas case) 

 

Day 2 — Cause hypothesis generation (structured brainstorming) 

  • Brainstorming vs brainwriting (how to capture better causes, reduce bias) 

  • Is–Is Not matrix (tighten the problem and eliminate weak hypotheses) 

  • Nominal Group Technique (NGT) for prioritizing likely causes 

  • Paired comparisons to rank competing cause theories 

  • Draft a “cause list” grouped by: people / process / equipment / materials / environment / management system 

  • Workshop: team session to produce a ranked shortlist of causes + evidence gaps 

 

Day 3 — Evidence collection + data analysis (prove/disprove causes) 

  • Evidence planning: what data is needed for each hypothesis (and where it lives: CMMS, historian, inspection, OEM, interviews) 

  • Sampling basics + check sheets for repeatable field data capture 

  • Surveys/interviews (structured questions; facts vs opinions) 

  • Data analysis tools: histogram, Pareto, scatter (patterns, correlations, “vital few”) 

  • Visual tools: problem concentration diagram (where), relations/affinity diagrams (how causes link) 

  • Workshop: build a Pareto + scatter from a provided dataset; update the timeline with confirmed facts 

 

Day 4 — Root cause identification (logic tools) 

  • Cause-and-effect chart (Fishbone) with evidence tags (confirmed vs assumed) 

  • Matrix diagrams (link causes ↔ evidence ↔ controls ↔ consequences) 

  • Five Whys (done with evidence checks, not “why-spirals”) 

  • Fault Tree Analysis (FTA): top event → logic gates → minimal cause paths 

  • Workshop: complete an evidence-based causal model (Fishbone + 5 Whys + FTA) for a rotating/process equipment failure scenario 

 

Day 5 — Eliminate causes + implement & sustain 

  • Root cause elimination tools: Six Thinking Hats (decision quality), TRIZ / SIT (break constraints, generate stronger solutions) 

  • Select corrective actions: eliminate vs mitigate; engineering vs procedural; prevent recurrence 

  • Build implementation plan (owners, dates, resources) + tree diagram for rollout steps 

  • Force-field analysis: resistance vs enablers; change acceptance plan 

  • Verification plan: effectiveness review, monitoring window, KPIs, closure criteria 

  • Capstone: teams present the full RCFA (problem → evidence → logic → root causes → actions → verification) 

BTS attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.

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Course Rounds

5 Days
Code Date Venue Fees Action
MI274-01
2026-05-03
Manama
USD 5450
Register
MI274-02
2026-08-10
Istanbul
USD 5950
Register
MI274-03
2026-11-15
Dubai
USD 5450
Register

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