Automation and worker safety: Balancing risks and benefits in oil, gas, and renewable energy industries
Abstrak
The integration of automation in the oil, gas, and renewable energy industries has revolutionized operational efficiency and worker safety. This paper examines the dual role of automation in mitigating workplace hazards while addressing the associated risks and challenges. The objectives include evaluating how automated systems reduce human exposure to high-risk tasks, identifying potential risks introduced by automation, and proposing strategies to balance safety with technological advancement. Key findings highlight that automation significantly reduces accidents in high-hazard environments, such as offshore rigs and wind turbine maintenance, by replacing manual tasks with remote-controlled or autonomous systems. However, the increased reliance on automated technologies presents new challenges, including cybersecurity vulnerabilities, system failures, and the need for specialized training. Furthermore, the shift toward renewable energy introduces unique safety considerations, such as managing risks in battery storage and photovoltaic system maintenance. The paper concludes that while automation offers substantial benefits in enhancing worker safety, a holistic approach is essential to address its challenges. Strategies such as robust risk assessments, adaptive safety protocols, and comprehensive worker training programs are crucial to mitigate the unintended consequences of automation. By fostering collaboration between industry stakeholders and regulatory bodies, the oil, gas, and renewable energy sectors can achieve a sustainable balance between leveraging automation and safeguarding worker well-being. This research underscores the need for ongoing innovation and vigilance to ensure that automation remains a tool for enhancing, rather than compromising, workplace safety.
Penulis (5)
Peter Ifechukwude Egbumokei
Ikiomoworio Nicholas Dienagha
Wags Numoipiri Digitemie
Ekene Cynthia Onukwulu
Olusola Temidayo Oladipo
Akses Cepat
PDF tidak tersedia langsung
Cek di sumber asli →- Tahun Terbit
- 2024
- Bahasa
- en
- Total Sitasi
- 11×
- Sumber Database
- Semantic Scholar
- DOI
- 10.54660/.ijmrge.2024.5.4.1273-1283
- Akses
- Open Access ✓