Seamless Synergy: Exploring the Interconnection in Learning from Normal Work Tools
Abstract The oil and gas industries are increasingly embracing Learning from Normal Work, but the synergy among available proactive learning tools remains unclear. This paper addresses this gap by establishing connections between these tools to maximize their collaborative effectiveness. In our research, the organization under study initiated the adoption and implementation of learning from normal work. Along this journey, three key tools—Learning Teams, Walk Through Talk Through, and Finding the Next Incident—were employed to enhance the learning environment. A significant challenge faced by the organization, both operationally and in HSE functions, was understanding the interlinkages between these tools. To gain widespread acceptance and support from various stakeholders, the organization aimed to demonstrate the unity among these seemingly disparate tools. The research reveals how, when utilized in a specific process, these tools not only interact but also synergize to foster a comprehensive learning experience. The study sheds light on the strengths and weaknesses of each tool, emphasizing that leveraging their strengths contributes to a more holistic learning experience from normal work. The organization introduced a Learning from Normal Work framework, illustrating the overarching view of how the three adopted tools can collaboratively work to enhance the organization's learning experience. The framework not only depicts their interactions but also guides where to start and why, emphasizing the value of transitioning from one tool to another. It offers insights into the strengths and weaknesses of each tool, emphasizing that by building on these strengths, a more comprehensive proactive learning experience can be cultivated, thereby accelerating the organization's shift towards a reliable safety-focused learning approach.
Authors
- Abdelsalam Yasseen (ORCID: https://orcid.org/0009-0000-8570-2295)
- Lamberto Nonno
Institutions
- Baker Hughes (United States) (US)
Publication Details
- Published
- 2024-09-10
- DOI
- https://doi.org/10.2118/220366-ms
- Primary Topic
- Online and Blended Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00