alexa A Detailed View of High Reliability Organization Models
ISSN 2472-0518

Oil & Gas Research
Open Access

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Research Article

A Detailed View of High Reliability Organization Models in the Oil Industry

Abdulaziz Alothman*

M Eng Ernst & Young Institution, Kuwait

*Corresponding Author:
Abdulaziz Alothman
M Eng Ernst & Young Institution, Kuwait
Tel: +44 (0)20 7215 5000
E-mail: [email protected]

Received Date: July 27, 2016; Accepted Date: August 06, 2016; Published Date: August 13, 2016

Citation: Alothman A (2016) A Detailed View of High Reliability Organization Models in the Oil Industry. Oil Gas Res 2:119. doi: 10.4172/2472-0518.1000119

Copyright: © 2016 Alothman A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Safety is considered a vital aspect of all projects and engagements in the oil & gas industry. It consists of operational tools and models that are utilized to mitigate accident occurrence and impacts. Currently, the human, technical and operational factors have well-developed tools and models for preventing and mitigating their occurrence and impact, leaving the organizational factors without a deployable model or tool. One of the models that are used nowadays in the industry is high reliability organization model. It provides the diagnosis of organizational reliability states and improvement opportunities in the complex, high-risk, error-prone upstream sector of the offshore oil & gas industry. This model applies two analytical paradigms; the HRO scales audit and template analysis, which are quantitative and qualitative methods respectively. Both approaches were used to assess the organizational reliability state of a multinational oil and gas High Reliability Organization (HRO) having offshore projects in various regions across the globe. The paper proposes the utilization of this model for meeting the identified safety management use cases in the oil and gas industry which includes the safety first priority, activity-based safety cost reduction and contractor and supply chain safety management.

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