Framework for the Analysis of Resilient Performance Conditionings in Integrated Operations of the Oil and Gas Industry

Sell, Denilson; Trierveiler, Heron Jader; Schneider, Viviane; Henriqson, Éder; Morales, Aran Bey Tcholakian; Todesco, José Leomar; Selig, Paulo Maurício

doi:10.1007/978-3-030-85954-1_6

Cited by 1 publication

(5 citation statements)

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“…The approach adopted to propose the indicators combining the steps developed by Grecco et al (2014) with conceptual model, as outlined in the framework described in Sell et al (2021), proved to be viable and adherent to the needs of the companies involved in the study. The framework is supporting the analysis of the effectiveness of investments in safety and reveal the potential risks not prioritized by current plans, contributing to the promotion of organizational learning.…”

Section: Discussionmentioning

confidence: 99%

“…The indicators and analytical tools presented in this article were developed as elements of the framework described in Sell et al (2021) applying Design Science Research (DSR) method (Peffers et al, 2006). Needs and objectives of the solution were identified applying organizational context modeling techniques proposed by CommonKADS (Schreiber et al, 1999).…”

Section: Methodology and Research Strategymentioning

confidence: 99%

“…Also, it is critical to establish methods to measure resilience and promote continuous learning to improve the potential for resilience of organizations (Stephenson, 2010). It is also critical to consider how knowledge could be managed to improve potential for resilience (Fraga;Varvakis;Sell, 2018;Sell et. al., 2021).…”

Section: Potential For Resilience Analysismentioning

confidence: 99%

“…The Framework for Analysis of Resilient Responses (Sell et al; gives the basis of this work. Its objective is to support comprehensive analyses by shedding light on several HF from the perspectives of the individual, work and organization, as proposed by Edwards (1988) and Hawkins (2017), but exploring knowledge as a key factor amongst other HF usual in Oil & Gas integrated operations.…”

Section: Potential For Resilience Analysismentioning

confidence: 99%

“…The model of Grecco et al (2014) was selected as the basis for the present work due to its adherence to factors of our framework (Sell et. al., 2021).…”

Section: Selection Of Indicatorsmentioning

confidence: 99%

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Analysis of the Potential for Resilience of Integrated Oil & Gas Operations in Brazil

Sell¹,

Trierveiler²,

Todesco³

et al. 2022

ECKM

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Resilience is presented in literature as the capacity of a system to disarm, adapt and recover from unexpected events. Despite the increase of interest of industries and academia in the subject, there are a lack of models that describes the elements that condition and determines resilient performance. This article presents a knowledge model that characterizes intangibles which determine resilient responses and is a central piece in a data science strategy supporting monitoring and analysis of potential for resilience in high-risk industries. Through an interdisciplinary approach, this model was established using an integrative review of the literature and the contribution of experts from several areas. The potential for resilience is represented by a set of leading indicators that allows continuous monitoring of both static characteristics of complex operations and dynamic resource mobilization in the face of unexpected events. Knowledge engineering and data science techniques are applied to treat data from various sources. The established approach addresses several elements that are not traditionally explored in safety management systems, including those related to knowledge that determine resilient responses, as well as factors related to human, structural and relational capital that condition resilient performance. Results of the application of the model are presented, including how the analytical model supports the definition of knowledge management and safety investment strategies in oil and gas companies in Brazil. The approach supports the prioritization of actions and investments to promote safety and enable strategies to learn from accidents and positive conditions that make operations safer despite unpredictability in daily operational routine.

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Section: Discussionmentioning

confidence: 99%

Section: Methodology and Research Strategymentioning

confidence: 99%

Section: Potential For Resilience Analysismentioning

confidence: 99%

Section: Potential For Resilience Analysismentioning

confidence: 99%

“…The model of Grecco et al (2014) was selected as the basis for the present work due to its adherence to factors of our framework (Sell et. al., 2021).…”

Section: Selection Of Indicatorsmentioning

confidence: 99%

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