Ergonomic Postural Evaluation System Through Non-invasive Sensors

Mariño, Christian; Vargas, Javier

doi:10.1007/978-3-030-33614-1_19

Cited by 5 publications

(1 citation statement)

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“…Medical data analytics can determine whether the O&G worker has applied the proper gesture and posture when performing a task, especially in the case of repetitive actions. The ergonomic postural evaluation system can help to prevent work-related musculoskeletal disorders [60], [61]. Similarly, in the long term, aggregated biometric data are also useful for predicting the trends of health performance to avoid any potential incident in the future, such as a heart attack.…”

Section: A Personnel Health Safety and Location Trackingmentioning

confidence: 99%

Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas Industry

et al. 2021

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Working at an oil and gas facility, such as a drilling rig, production facility, processing facility, or storage facility, involves various challenges, including health and safety risks. It is possible to leverage emerging digital technologies such as smart sensors, wearable or mobile devices, big data analytics, cloud computing, extended reality technologies, robotic systems, and drones to mitigate the challenges faced by oil and gas workers. While these technologies are not new to the oil and gas industry, most of its existing digital transformation initiatives follow business or process-centric approaches, in which the critical driver of the technology adoption is the enhancement of production, efficiency, and revenue. As a result, they may not address the challenges faced by the workers. As oil and gas workers are among the essential assets in the oil and gas industry, it is vital to address the challenges faced by these workers. This paper proposes a human-centric digital transformational framework for the oil and gas industry to deploy existing digital technologies to enhance their workers' health, safety, and working conditions. The paper outlines the critical challenges faced by oilfield workers, introduces a system architecture to implements a human-centric digital transformation, discusses the opportunities of the proposed framework, and summarizes the key impediment for the proposed framework.

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Section: A Personnel Health Safety and Location Trackingmentioning

confidence: 99%