Even before the outbreak of the COVID-19 pandemic, the oil and gas (O&G) industry had been facing disruptions in terms of an energy transition phase that include the focus on the use of renewable energy equipment, transport electrification, decarbonization, and waste elimination among others. However, the contraction in global travel and remote working habits owing to the pandemic really set off disruptions for the O&G industry. This research intends to identify and analyze the enablers for the O&G industry that can help it handle potential disruptions and hence become resilient. Several significant enablers have been identified through a systematic literature review using the PRISMA approach and Delphi method. The mutual inter-relationships among the enablers have been developed using the modified total interpretive structural modelling approach. Later, the matrice d'impacts crois es multiplication appliques an un classement analysis has been used to identify the enablers' clusters according to their dependence and driving powers. The modelling and analysis results suggest four paths for the O&G industry to handle disruptions effectively. This research aims to help academicians, managers, and researchers understand the essential enablers and paths to adopt on a priority basis so as to handle disruptions and build resilience in the O&G industry.

甚至在 COVID-19 大流行爆发之前，石油和天然气 (O&G) 行业就已经面临能源转型阶段的中断，其中包括关注可再生能源设备的使用、交通电气化、脱碳和消除废物其中。然而，大流行导致全球旅行和远程工作习惯的收缩确实给油气行业带来了干扰。本研究旨在识别和分析油气行业的推动因素，这些因素可以帮助其应对潜在的中断并因此变得有弹性。几个重要的推动因素已经通过一个使用 PRISMA 方法和 Delphi 方法进行系统文献综述。推动因素之间的相互关系是使用改进的总体解释结构建模方法开发的。后来，矩阵 d'impacts crois es multiplication appliques 一种联合国分类分析已被用于根据其依赖性和驱动力来识别推动者的集群。建模和分析结果为油气行业有效处理中断提供了四种途径。本研究旨在帮助院士、管理人员和研究人员了解优先采用的基本推动因素和途径，以应对油气行业的中断并建立弹性。