Background: This study explored the impact of occupational stress, personal factors, and physical conditions on work productivity decline (WPD) among workers in the Tunisian onshore oil and gas industry.
Methods: We conducted a cross-sectional survey among 246 onshore oil installation workers of a Tunisian private oil company. 94 employees (48%) participated in this study. We used the Job Content Questionnaire to evaluate occupational stress and the Work Productivity and Activity Impairment Questionnaire to assess the WPD.
Results: Data were analysed using R software. This study exclusively included male workers, with an average age of 41.1 ± 9.5 years. Binary logistic regression analysis identified low social support and job-strain situation as the most associated risk factors (OR >3). The random forest model suggested that professional category, job-strain situation, low social support, and iso-strain situation were the most important variables in predicting WPD.
Conclusion: These data provided evidence that petroleum workers faced a monotonous lifestyle in the workplace, leading to high levels of occupational stress that affected their work productivity. This study is the first in Tunisia in the oil sector.
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http://dx.doi.org/10.4103/ijoem.ijoem_56_22 | DOI Listing |
Sci Rep
January 2025
Geophysics Department, Faculty of Science, Cairo University, Giza, 12613, Egypt.
The Red Sea remains a largely under-explored basin, with the Northern Egyptian Red Sea requiring further investigation due to limited borehole data, sparse case studies, and poor seismic quality. A petroleum system, regional structural cross-section, and geological block diagrams integrating onshore fieldwork from Gebel Duwi and offshore subsurface geology were utilized to assess the hydrocarbon potential of the Northern Egyptian Red Sea (NERS). The findings highlight that pre- and syn-rift organic-rich source units in the NERS could generate oil and gas, similar to the capped reservoirs of the Southern Gulf of Suez.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
December 2024
Harvard-China Project on Energy, Economy and Environment, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.
Microorganisms
November 2024
College of Chemical Engineering and Environment, China University of Petroleum-Beijing, Beijing 102206, China.
This study selected 27 soil samples from four representative horizontally distributed onshore oilfields in China to explore the diversity of soil microbial communities and their carbon fixation capacity, with a focus on the potential interaction between pollution and carbon fixation under oil pollution stress. The analysis of the soil physicochemical properties and microbial community structures from these oilfield samples confirmed a clear biogeographic isolation effect, indicating spatial heterogeneity in the microbial communities. Additionally, the key factors influencing microbial community composition differed across regions.
View Article and Find Full Text PDFSensors (Basel)
October 2024
Postgraduate Program in Sustainable Development (MPDS), SENAI CIMATEC University Center, Orlando Gomes Avenue, 1845, Piatã, Salvador 41650-010, BA, Brazil.
The vast expanses of remote onshore areas in oil-producing countries are home to a network of flow and collection pipelines that are susceptible to leaks. Most of these areas lack the infrastructure to enable the use of remote monitoring systems equipped with sensors and real-time data analysis to provide early detection of anomalies. This paper proposes a proof of concept for a monitoring system based on the Internet of Things (IoT) for real-time detection of pipeline leaks in onshore oil production fields.
View Article and Find Full Text PDFPLoS One
October 2024
Department of Chemistry and Biochemistry and the Global Forensics and Justice Center, Florida International University, Miami, Florida, United States of America.
Canines are used by both government agencies and industries for their keen olfactory capability as well as selectivity, reliability, versatility, and speed. Within the last decade, canines have been used for the detection of on-shore crude oil. They were previously shown to find these deposits with high accuracy, providing increased confidence with little risk to oil spill response survey teams.
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