Application of machine learning modeling for the upstream oil and gas industry injury rate prediction

Application of machine learning modeling for the upstream oil and gas industry injury rate prediction

ANN, HSE, Multivariate Regression, Occupational injury, Random Forest, Safety Management

Yearly, the International Labor Organizationreport indicates many workplace accident occurrences. The degree of the happenings depends on the workplace environment setting and the incident regulatory measures implemented. By the nature of its work environment, the oil and gas upstream sector is susceptible to high incident rates. In the current fierce business competition and practices, improving productivity, quality, and other processes, such as Safety, is vital. Implementing well-designed safety procedures is the key to managing and reducing therisk level of workplace incidents

Desalegn Y1, Daniel K1, Mesfin B2

https://www.nepjol.info/index.php/IJOSH/article/view/52668/48498

School of Mechanical and Industrial Engineering,Addis AbabaInstitute of Technology,Addis Ababa University,Addis Ababa,Ethiopia.2University of Stavanger, Department of Energy and Petroleum Engineering, Stavanger, Norway

01.04.2024

Fajar Bagus Wijanarko

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