Course Details
Your Growth, Our Mission
Course Description
The Training Course Will Highlight ?
Training Objective
In the petroleum, natural gas, and petrochemical industries, great attention is being paid to the safety, reliability, and maintainability of equipment. Data collection is an investment. Data standardization, when combined with enhanced data management systems that allow the electronic collection and transfer of data, can result in improved quality of data for reliability and maintenance.
While ISO 14224 was developed for the Petroleum, Natural Gas, and Petrochemical industries, the same process can and should be applied in any organization. When implemented, the right data can be gathered not only to eliminate defects from current assets but also to design more efficient and reliable equipment. Remember, the equipment will only operate at the inherent level of reliability, which is established in the design phase. So, by learning from the existing equipment and its performance, the designs can be improved to increase the level of inherent reliability.
All of these improvements in design and changes to existing assets need to be validated with the proper analysis. This analysis can only be done when the data is accurate, complete, and provided in the right context. The right data with the right context should include;
-
Asset’s technical characteristics
-
Operating conditions of the asset
-
Environmental conditions in which the asset is operated in
-
Potential failures
-
Maintenance activities
-
Failures
Utilizing a standard such as this in a single plant will provide some value, but when utilizing the ISO 14224 approach across multiple sites, or organizations is when the benefits are truly realized. This realization occurs because the amount of data captured grows at a much quicker pace, allowing the analysis to become more meaningful and accurate. With all of this in mind, how can any industry apply ISO 14224 to their industry? First, it is important to understand the ISO standard and this is the target of the course which will also include a lot of examples and case studies.
Target Audience
Maintenance, reliability, and planning managers, engineers, maintenance technicians, operations team, and other practitioners concerned with reliability and maintenance management
Training Methods
Daily Agenda
Day 1: ISO 14224 Overview
-
Introduction to ISO 14224 and its Scope
-
Terms, definitions, and abbreviations.
-
Exchange of Reliability & Maintenance (RM) data
-
Benefits of RM data collection and exchange
-
Obtaining quality data
-
Data Collection Process
-
Taxonomy and Equipment Boundaries
-
Equipment Data
-
Representing Timeline
-
Recommended data for equipment, failures, and maintenance
-
Data structure for CMMS / EAMS
-
Equipment data
-
Failure data
-
Maintenance categories & data
-
Video – Case Study
-
Group discussion
Equipment-Class Attributes
-
Equipment boundary
-
Common equipment data
-
Equipment classification and application
-
Equipment-specific data
-
Rotating equipment data
-
Mechanical equipment data
-
Electrical equipment data
-
Safety and control data
-
Subsea equipment data
-
Drilling equipment data
-
Well intervention equipment data
-
Marine equipment data
-
Case study
-
Group discussion
Day 2: Failure and Maintenance Parameters
-
Failure interpretation
-
Failure and maintenance data notations
-
Failure mechanism
-
Failure cause
-
Common cause failures
-
Detection method
-
Failure modes
-
Rotating equipment failure modes
-
Mechanical equipment failure modes
-
Electrical equipment failure modes
-
Safety and control equipment failure modes
-
Subsea equipment failure modes
-
Well completion equipment failure modes
-
Drilling equipment failure modes
-
Well intervention failure modes
-
Marine equipment failure modes
Reliability & Maintenance Parameters – Failure & Failure Analysis
-
Introduction to maintenance & reliability
-
commonly used failure and maintenance parameters
-
Passive & Active Redundancy
-
Independent failures
-
Trips
-
Failure occurrence classification
-
Failure consequence classification
-
Failure analysis
-
Methodology for Failure Analysis
-
Case study
-
Video
-
Group discussion
Day 3: Reliability & Maintenance Parameters – Availability, Maintainability, and Reliability
-
Availability definition
-
Mathematics of availability
-
Measures and estimates of mean availability data records
-
Failure rate and failure frequency estimations
-
Bathtub curve & failure rate
-
Estimation of failure rate
-
Maintainability definition and mathematical meaning
-
Maintainability performance and repair rate
-
Maintainability — Intrinsic and extrinsic factors
-
Procedure for compiling data records for maintainability
-
“Meantime” interpretations
-
Mean downtime (MDT)
-
Mean elapsed time between failures (METBF)
-
Meantime to failure (MTTF)
-
Mean overall repairing time (MRT)
-
Mean up time (MUT)
-
Procedure for compiling data records for the meantime
-
Testing for hidden failures in safety systems
-
Required availability
-
Mathematics of cost-benefit availability
-
Handling of uncertainty
-
Human error as an underlying contributor to equipment performance
-
Case Study
-
Group Discussion
Reliability & Maintenance Parameters – Reliability & Safety
-
Understanding Reliability
-
Terms and definitions
-
Interrelationship of terms
-
Predicting reliability and risk
-
Reliability modeling
-
RAM studies
-
Integrity of Safety-related Systems
-
Safety Integrity Levels (SIL)
-
Cost-effective approach to Quality, Reliability and Safety
-
Case Study
-
Group Discussion
Day 4: Typical requirements for Reliability & Maintenance Data
-
Applications of RM data
-
Areas of application and types of analyses
-
Business value of data collection
-
Data requirements
-
Data analysis
-
Equipment data to be recorded
-
Failure data to be recorded
-
Maintenance data to be recorded
-
Reliability data sources
-
Case Study
-
Group Discussion
Classification and definition of safety-critical failures
-
Reliability modeling and calculation of safety systems
-
Classification of failures of safety instrumented systems
-
SIS failure mode classification in reliability data collection and analysis
-
Downtime issues related to SIS reliability data collection and analysis
-
Definition of failures for safety systems
-
Recommended definitions of failures for some safety systems/components
-
Case Study
-
Group Discussion
Day 5: ISO 14224 and Computerized Maintenance Management Systems
-
CMMS Baseline functionalities
-
How to specify and select CMMS
-
Asset management data requirements
-
CMMs implementation requirements and scope
-
Business requirements
-
Equipment numbering system and Equipment hierarchy
-
Equipment Details
-
Equipment maintenance strategies
-
Functional and exception reporting
-
Reporting and KPI development
-
The implementation templates
-
Why so many CMMS projects fails?
-
Case Study
-
Group Discussion
Key performance indicators (KPIs) and benchmarking
-
Process for using KPIs and benchmarking for improving business performance
-
Alignment to business objectives
-
Differences between benchmarks and KPIs
-
Benchmarking principles
-
Choice of benchmarks
-
Taxonomy level
-
Alignment of benchmark and KPIs across peer groups
-
Benefits of benchmarking
-
Selection of peer groups
-
Leading and lagging KPIs
-
Examples of benchmarks and KPIs using RM data
-
Case Study
-
Group Discussion
Accreditation
BTS attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.
Quick Enquiry
Request Info
Related Courses
Your Growth, Our Mission
Contact Us
Contact us to meet all your inquiries and needs, as our professional team is pleased to provide immediate support and advice to ensure you achieve your goals and facilitate your experience with us in the best possible way.
UAE
Office
Mobile
E-mail
Working
Hours