oracle
Consultant – RAM
Wood
IND
Part-time
Senior · 15+ years experience
Onsite
Discovered 1 weeks ago
Communication
Key Skills for This Role
Communication
Full Job Posting
Qualifications
- What makes you remarkable?
- At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world’s most critical challenges.
- Qualifications: • B.E. or B.Tech specialization in Mechanical / Electrical, relevant Engineering degree preferably with maintenance experience
- Knowledge, skills, and experience: • Minimum 15+ years’ experience in Oil & Gas, Energy, Process or Utility industry, ideally gained in operations or maintenance of process related equipment. • Strong understanding of Reliability, Availability & Maintainability (RAM) principles and asset performance management. • Proven experience in Reliability Block Diagrams (RBD), Monte Carlo Simulation, Fault Tree Analysis (FTA), Event Tree Analysis (ETA), RCA (Root Cause Analysis), FMEA/FMECA, MBTF & MTTR Analysis, Equipment Criticality Analysis, Maintenance Optimization and CMMS. • Practical experience in executing RAM studies during Concept, FEED, Detailed Design and Operational phases. • Develop, review, and optimize maintenance strategies using RCM, CMEA, and Preventive Maintenance methodologies. • Knowledge of risk-based methodologies including RBI, RCM, SIL, HAZOP, HAZID and LOPA. • Understanding of rotating equipment, static equipment, electrical power systems, instrumentation and control systems. • Ability to analyse failure data, maintenance records and operational performance trends. • Perform Root Cause Analysis (RCA) for recurring equipment failures and implement corrective actions. • Analyze Reliability KPIs such as MTBF, MTTR, Availability, and OEE. • Ability to review engineering documents including PFDs, P&IDs, Cause & Effect Diagrams, Equipment List, System Architecture Diagrams and Functional Specifications. • Strong report writing, technical presentation and client communication skills. • Experience supporting multidisciplinary projects and client-facing consultancy assignments. • Familiarity with reliability databases such as OREDA, MIL-HDBK-217, NSWC, Exida or equivalent industry sources. • Experience using RAM analysis software such as Isograph Availability Workbench, ReliaSoft BlockSim, Maros, GRIF, APM tools or equivalent.
- Personal attributes: • Intellectually capable, can apply maintenance theory in a practical context. • Pursues continuous development and progression of own skills and knowledge. • Diligent and dependable in consistent application of established process. • Professional demeanour with appropriate interpersonal skills. • Ability to work on own initiative and provide effective trouble shooting. • Well organized, observant, good communication skills. • Ability to work with timelines/targets. • Good team working skills, with the ability to work in multidiscipline environments with minimal supervision. • Role model Wood’s values & behaviours.
- B.E. or B.Tech specialization in Mechanical / Electrical, relevant Engineering degree preferably with maintenance experience
- Minimum 15+ years’ experience in Oil & Gas, Energy, Process or Utility industry, ideally gained in operations or maintenance of process related equipment.
- Strong understanding of Reliability, Availability & Maintainability (RAM) principles and asset performance management.
- Proven experience in Reliability Block Diagrams (RBD), Monte Carlo Simulation, Fault Tree Analysis (FTA), Event Tree Analysis (ETA), RCA (Root Cause Analysis), FMEA/FMECA, MBTF & MTTR Analysis, Equipment Criticality Analysis, Maintenance Optimization and CMMS.
- Practical experience in executing RAM studies during Concept, FEED, Detailed Design and Operational phases.
- Develop, review, and optimize maintenance strategies using RCM, CMEA, and Preventive Maintenance methodologies.
- Knowledge of risk-based methodologies including RBI, RCM, SIL, HAZOP, HAZID and LOPA.
- Understanding of rotating equipment, static equipment, electrical power systems, instrumentation and control systems.
- Ability to analyse failure data, maintenance records and operational performance trends.
- Perform Root Cause Analysis (RCA) for recurring equipment failures and implement corrective actions.
- Analyze Reliability KPIs such as MTBF, MTTR, Availability, and OEE.
- Ability to review engineering documents including PFDs, P&IDs, Cause & Effect Diagrams, Equipment List, System Architecture Diagrams and Functional Specifications.
- Strong report writing, technical presentation and client communication skills.
- Experience supporting multidisciplinary projects and client-facing consultancy assignments.
- Familiarity with reliability databases such as OREDA, MIL-HDBK-217, NSWC, Exida or equivalent industry sources.
- Experience using RAM analysis software such as Isograph Availability Workbench, ReliaSoft BlockSim, Maros, GRIF, APM tools or equivalent.
- Intellectually capable, can apply maintenance theory in a practical context.
- Pursues continuous development and progression of own skills and knowledge.
- Diligent and dependable in consistent application of established process.
- Professional demeanour with appropriate interpersonal skills.
- Ability to work on own initiative and provide effective trouble shooting.
- Well organized, observant, good communication skills.
- Ability to work with timelines/targets.
- Good team working skills, with the ability to work in multidiscipline environments with minimal supervision.
- Role model Wood’s values & behaviours.
Responsibilities
- The key objectives for this role are:
- Develop and maintain RAM models for offshore, onshore, energy and industrial facilities using recognized industry software. • Perform Reliability, Availability & Maintainability (RAM) studies for new and existing facilities. • Execute production assurance and system availability assessments during Concept, FEED and Detailed Design stages. • Perform reliability block diagram (RBD) modelling, fault tree analysis (FTA), event tree analysis (ETA) and Monte Carlo simulations. • Conduct equipment reliability assessments using failure rate databases, vendor data and operational history. • Identify system bottlenecks, single points of failure and availability improvement opportunities. • Analyse maintainability requirements, repair strategies, logistics support and maintenance resource requirements. • Develop equipment criticality rankings and risk-based performance assessments. • Support Reliability-Centered Maintenance (RCM), Risk-Based Inspection (RBI), FMECA and integrity management studies. • Evaluate redundancy philosophies and optimize equipment sparing strategies to meet production targets. • Assess the impact of equipment failures on production loss, downtime and operational risk. • Prepare reliability performance indicators, availability forecasts and lifecycle cost evaluations. • Interface with Process, Mechanical, Electrical, Instrumentation, Operations and Maintenance disciplines to obtain study inputs and validate model assumptions. • Develop reliability and availability improvement recommendations during project reviews and technical assurance activities. • Participate in HAZOP, HAZID, SIL, LOPA and operational risk workshops where RAM inputs are required. • Review vendor documentation and equipment performance data to establish realistic reliability assumptions. • Prepare technical reports, presentations and client deliverables for RAM studies. • Provide technical mentoring and guidance to junior RAM engineers and consultants. • Support business development activities including proposal preparation, study estimation and client presentations. • Assist clients in establishing asset performance, production assurance and operational excellence frameworks.
- Develop and maintain RAM models for offshore, onshore, energy and industrial facilities using recognized industry software.
- Perform Reliability, Availability & Maintainability (RAM) studies for new and existing facilities.
- Execute production assurance and system availability assessments during Concept, FEED and Detailed Design stages.
- Perform reliability block diagram (RBD) modelling, fault tree analysis (FTA), event tree analysis (ETA) and Monte Carlo simulations.
- Conduct equipment reliability assessments using failure rate databases, vendor data and operational history.
- Identify system bottlenecks, single points of failure and availability improvement opportunities.
- Analyse maintainability requirements, repair strategies, logistics support and maintenance resource requirements.
- Develop equipment criticality rankings and risk-based performance assessments.
- Support Reliability-Centered Maintenance (RCM), Risk-Based Inspection (RBI), FMECA and integrity management studies.
- Evaluate redundancy philosophies and optimize equipment sparing strategies to meet production targets.
- Assess the impact of equipment failures on production loss, downtime and operational risk.
- Prepare reliability performance indicators, availability forecasts and lifecycle cost evaluations.
- Interface with Process, Mechanical, Electrical, Instrumentation, Operations and Maintenance disciplines to obtain study inputs and validate model assumptions.
- Develop reliability and availability improvement recommendations during project reviews and technical assurance activities.
- Participate in HAZOP, HAZID, SIL, LOPA and operational risk workshops where RAM inputs are required.
- Review vendor documentation and equipment performance data to establish realistic reliability assumptions.
- Prepare technical reports, presentations and client deliverables for RAM studies.
- Provide technical mentoring and guidance to junior RAM engineers and consultants.
- Support business development activities including proposal preparation, study estimation and client presentations.
- Assist clients in establishing asset performance, production assurance and operational excellence frameworks.
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