ISO 14224-2016 PDF

Full title and description

ISO 14224:2016 — Petroleum, petrochemical and natural gas industries — Collection and exchange of reliability and maintenance data for equipment. This International Standard defines a common "reliability language", minimum data requirements and a standardized data format to support collection, quality assurance, exchange and merging of reliability and maintenance (RM) data for equipment across facilities, owners, manufacturers and contractors in the petroleum, petrochemical and natural gas industries.

Abstract

ISO 14224:2016 provides a comprehensive basis for collecting RM data in a standard format for equipment across the operational life cycle. It describes data-collection principles, terms and definitions, a normative failure‑mode thesaurus, data‑quality control and assurance practices, and minimum data sets for equipment, failure and maintenance records. The standard facilitates data exchange between parties and supports analysis for reliability, availability, maintenance, safety and environmental performance.

General information

• Status: Published (3rd edition).
• Publication date: September 2016 (corrected version October 2016).
• Publisher: International Organization for Standardization (ISO).
• ICS / categories: 75.200; 75.180.01 (petroleum, petrochemical and natural gas equipment).
• Edition / version: Edition 3 (2016).
• Number of pages: 272 (third edition).

(General information above based on ISO bibliographic data and edition history.)

Scope

ISO 14224:2016 applies to the collection and exchange of reliability and maintenance data for equipment used in petroleum, petrochemical and natural gas industries during the operational life cycle. It specifies the types and minimum content of equipment, failure and maintenance data to be collected, the data‑quality controls and recommended formats to enable reliable analysis and sharing of RM data. The standard excludes direct cost data, laboratory/manufacturing test data (e.g., accelerated life tests), full equipment data sheets beyond reliability‑relevant attributes and methods for RM data analysis (while giving principles for basic parameters).

Key topics and requirements

• Definition of terms and a standardized "reliability language" to ensure consistent reporting and interpretation of RM data.
• Normative failure‑mode taxonomy (a reliability thesaurus) to classify causes, consequences and mechanisms of failures.
• Minimum data sets and categories: equipment data (taxonomy, attributes), failure data (cause, consequence), and maintenance data (actions taken, resources used, downtime, maintenance consequences).
• Data quality control, assurance practices and guidance for validating and merging datasets from multiple sources.
• Requirements for RM data systems intended for data exchange (data format principles and interoperability considerations).
• Guidance and examples for exchanging and merging RM data and for establishing performance objectives for reliability and availability.
• Explicit exclusions and limitations (cost data, laboratory test data, full equipment datasheets, and detailed analysis methods are outside scope).

Typical use and users

Primary users are asset owners/operators, reliability and maintenance engineers, production assurance teams, integrity managers, equipment manufacturers/OEMs, contractors and RM software vendors who require a consistent basis for recording, analysing and exchanging equipment reliability and maintenance data. The standard is used to build RM databases, support failure‑mode analysis, assess availability and to benchmark equipment performance across units and organizations.

Related standards

ISO 14224 is developed under ISO/TC 67 and is commonly used alongside other TC 67 documents covering production assurance, reliability management and lifecycle cost and terminology — for example ISO 20815 (production assurance and reliability management) and several WG4 publications (ISO/TR 12489, ISO 19008, ISO 15663, ISO/TS 3250) that address related reliability, cost coding and reporting topics. Implementers often align ISO 14224 data with asset‑management standards such as ISO 55000 for broader lifecycle/asset governance.

Keywords

reliability data; maintenance data; failure modes; data exchange; petroleum; petrochemical; natural gas; equipment taxonomy; data quality; RM database; production assurance.

FAQ

Q: What is this standard?

A: ISO 14224:2016 is the third edition of an ISO International Standard that specifies how to collect, structure and exchange reliability and maintenance data for equipment in the petroleum, petrochemical and natural gas industries.

Q: What does it cover?

A: It covers data categories and minimum data items for equipment, failures and maintenance actions, a failure‑mode taxonomy, data quality and exchange principles, and requirements for RM data systems intended to support data exchange and merging. It does not prescribe detailed analysis methods or include direct cost accounting or laboratory accelerated test data.

Q: Who typically uses it?

A: Asset owners and operators, reliability/maintenance engineers, production assurance and integrity teams, equipment manufacturers, contractors and RM/CMMS software vendors use it to create interoperable RM datasets and to enable consistent analysis and benchmarking.

Q: Is it current or superseded?

A: The 2016 edition (3rd edition) is the current published edition and supersedes previous editions (for example the 2006 edition). ISO standards are subject to periodic review (typically every five years) and users should confirm whether a newer revision has been published.

Q: Is it part of a series?

A: ISO 14224 is part of the ISO/TC 67 body of standards addressing oil & gas industry reliability, production assurance and related topics; it is frequently used together with companion standards such as ISO 20815 and other WG4 documents addressing reliability terminology, modelling and lifecycle cost/reporting.

Q: What are the key keywords?

A: Reliability, maintenance, failure modes, data exchange, equipment taxonomy, data quality, petroleum, petrochemical, natural gas, RM database.