Using Big Data to manage safety-related risk in the upstream oil and gas industry: A research agenda

Tan, Kim H., Ortiz-Gallardo, Victor G., & Perrons, Robert K. (2016) Using Big Data to manage safety-related risk in the upstream oil and gas industry: A research agenda. Energy Exploration & Exploitation, 34(2), pp. 282-289.

View at publisher

Abstract

Despite considerable effort and a broad range of new approaches to safety management over the years, the upstream oil & gas industry has been frustrated by the sector’s stubbornly high rate of injuries and fatalities. This short communication points out, however, that the industry may be in a position to make considerable progress by applying “Big Data” analytical tools to the large volumes of safety-related data that have been collected by these organizations. Toward making this case, we examine existing safety-related information management practices in the upstream oil & gas industry, and specifically note that data in this sector often tends to be highly customized, difficult to analyze using conventional quantitative tools, and frequently ignored. We then contend that the application of new Big Data kinds of analytical techniques could potentially reveal patterns and trends that have been hidden or unknown thus far, and argue that these tools could help the upstream oil & gas sector to improve its injury and fatality statistics. Finally, we offer a research agenda toward accelerating the rate at which Big Data and new analytical capabilities could play a material role in helping the industry to improve its health and safety performance.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 93078
Item Type: Journal Article
Refereed: Yes
Keywords: Oil & Gas, Safety, Big Data, Health, Environment
DOI: 10.1177/0144598716630165
ISSN: 2048-4054
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > RESOURCES ENGINEERING AND EXTRACTIVE METALLURGY (091400)
Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > BUSINESS AND MANAGEMENT (150300) > Organisational Planning and Management (150312)
Divisions: Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Management
Deposited On: 19 Feb 2016 03:50
Last Modified: 14 Jun 2016 03:14

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page