Evidence map›Paper›PMID 41436565›Full record

ArticleScientific reports2025

A novel global health index framework for asset prognostics and health management in the oil and gas industry.

Khalid Alfahdi, Hakan Gultekin, Emad Summad

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Khalid AlfahdiDepartment of Mechanical and Industrial Engineering, Sultan Qaboos University, Al Seeb, Al Khoudh 123, Muscat, Sultanate of Oman. s48505@student.squ.edu.om.
Hakan GultekinDepartment of Mechanical and Industrial Engineering, Sultan Qaboos University, Al Seeb, Al Khoudh 123, Muscat, Sultanate of Oman.
Emad SummadDepartment of Mechanical and Industrial Engineering, Sultan Qaboos University, Al Seeb, Al Khoudh 123, Muscat, Sultanate of Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The oil and gas industry must remain efficient and flexible to navigate shifting market uncertainties in an era of increasing global energy demand. Ensuring the reliability and availability of oil and gas production systems is vital for meeting supply requirements at optimal cost and sustainability. Comprehensive engineering Prognostics and Health Management (PHM) approaches can significantly support these objectives. This paper introduces a novel Global Health Index (GHI) for monitoring and benchmarking production system health, serving as a foundation for big data to advance artificial intelligence and machine learning applications. The proposed GHI captures system-wide health requirements by integrating descriptive, diagnostic, predictive, and prescriptive analytics within the PHM framework. A hierarchical structure organizes sub-indices into units, systems, pillars, elements, and parameters, enabling an explicit decomposition of complex production systems. Six adaptable indicators quantify health and guide proactive management strategies at the parameter level. This comprehensive yet practical benchmark indicator provides real-time health monitoring and data-driven decision-making, enhancing system availability and efficiency. By identifying emerging issues and guiding timely interventions, the GHI improves reliability and supports sustainable growth in the oil and gas sector.

Indexed as

Global HealthOil and Gas IndustryHumansHealth indexOil and gasProduction systemPrognostics and health managementReliability

Identifiers

PMID41436565
PMCPMC12835120

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.