Effective Maintenance Management Framework Through a Health Index: A Case Study in the Oil and Gas Industry

The oil and gas sector is transforming rapidly, driven by global energy demand and the need to address climate change. Effective maintenance management is critical for ensuring asset reliability and operational safety in this sector, where predictive and proactive strategies replace traditional reactive maintenance practices. This paper introduces a comprehensive health maintenance management framework designed to enhance oil and gas industry maintenance practices. The proposed framework includes six essential stages: asset registration, maintenance strategy selection, capability promotion, maintenance implementation, reporting, and continuous improvement. A key innovation of the framework is using a Health Index (HI), which provides a quantitative and scalable assessment of maintenance management health. This index and its subindices are a benchmarking tool, enabling organisations to compare their performance with their historical or industry standards, proactively prevent equipment failures, and minimise downtime. The framework also supports modern techniques such as condition monitoring, artificial intelligence, and digital twins to optimise maintenance efficiency and sustainability. A case study conducted in a gas processing plant demonstrates the practical application of the HI, revealing trends in maintenance management health over time and highlighting areas for improvement. The findings underscore the value of the HI in guiding decision-making, improving asset management, and supporting predictive maintenance practices. Furthermore, the study outlines how to integrate predictive methods, optimising scheduling and planning for maintenance activities, ultimately boosting asset performance and reducing operational disruptions. This framework offers a structured and dynamic approach to maintenance management, promoting continuous improvement and operational excellence in the oil and gas sector.

Authors

Publication Details

Journal
The Journal of Engineering Research [TJER]
Published
2025-09-22
DOI
https://doi.org/10.53540/1726-6742.1307
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effective Maintenance Management Framework Through a Health Index: A Case Study in the Oil and Gas Industry

Emad Summad, Hakan Gültekin, Khalid Al Fahdi
The Journal of Engineering Research [TJER]
Risk and Safety Analysis
article

Effective Maintenance Management Framework Through a Health Index: A Case Study in the Oil and Gas Industry

Emad Summad, Hakan Gültekin, Khalid Al Fahdi
article en

Abstract

The oil and gas sector is transforming rapidly, driven by global energy demand and the need to address climate change. Effective maintenance management is critical for ensuring asset reliability and operational safety in this sector, where predictive and proactive strategies replace traditional reactive maintenance practices. This paper introduces a comprehensive health maintenance management framework designed to enhance oil and gas industry maintenance practices. The proposed framework includes six essential stages: asset registration, maintenance strategy selection, capability promotion, maintenance implementation, reporting, and continuous improvement. A key innovation of the framework is using a Health Index (HI), which provides a quantitative and scalable assessment of maintenance management health. This index and its subindices are a benchmarking tool, enabling organisations to compare their performance with their historical or industry standards, proactively prevent equipment failures, and minimise downtime. The framework also supports modern techniques such as condition monitoring, artificial intelligence, and digital twins to optimise maintenance efficiency and sustainability. A case study conducted in a gas processing plant demonstrates the practical application of the HI, revealing trends in maintenance management health over time and highlighting areas for improvement. The findings underscore the value of the HI in guiding decision-making, improving asset management, and supporting predictive maintenance practices. Furthermore, the study outlines how to integrate predictive methods, optimising scheduling and planning for maintenance activities, ultimately boosting asset performance and reducing operational disruptions. This framework offers a structured and dynamic approach to maintenance management, promoting continuous improvement and operational excellence in the oil and gas sector.

The Journal of Engineering Research [TJER]Vol. 22(1)
Openalex Percentile: Top 73%
Risk and Safety Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.