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System Dynamics Approach to Evaluate the Oil and Gas Supply Chain: A Case Study
The worldwide economic shock caused by the COVID-19 outbreak has widespread and dramatic effects on the energy sector [1]. The World Health Organization (WHO) declared the COVID-19 outbreak as a pandemic by early March 2020, which resulted in the imposition of partial to complete lockdown in almost...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304322/ http://dx.doi.org/10.1016/j.upstre.2023.100090 |
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author | Raj, Ayush Mali, Bhupendra Sunil Kumar, Bhuvnesh Singh, Chandra Sen Nainawat, Gaurav Kumar |
author_facet | Raj, Ayush Mali, Bhupendra Sunil Kumar, Bhuvnesh Singh, Chandra Sen Nainawat, Gaurav Kumar |
author_sort | Raj, Ayush |
collection | PubMed |
description | The worldwide economic shock caused by the COVID-19 outbreak has widespread and dramatic effects on the energy sector [1]. The World Health Organization (WHO) declared the COVID-19 outbreak as a pandemic by early March 2020, which resulted in the imposition of partial to complete lockdown in almost all countries and territories worldwide. This unprecedented shock has led oil and gas markets through a strong supply and trade adjustment, resulting in historically low spot prices and a drastic fall in demand [1]. Since the oil and gas supply chain is very dynamic in nature, the disturbances in maintenance operations and routine work in the oil and gas industry may result in heavy disruptions in the oil and gas industry by affecting the various areas like workforce, production, and storage in the supply chain [1,2]. This study is oriented towards the comprehensive study of the upstream oil and gas supply chain, and briefly discusses the complete oil gas supply chain. We have investigated the disruption in the supply chain based on the comparative study of the pre-pandemic and post-pandemic situations. The most affected areas of the supply chain due to the disruptions are termed as 'Hotspots' and these disruptions are imitated by developing a model in Stella software, implementing the system dynamics approach. Further, the model has worked for one fiscal year by providing data input of oil/gas prices, current and forecasted demand and impact of COVID -19 is analysed. |
format | Online Article Text |
id | pubmed-10304322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103043222023-06-29 System Dynamics Approach to Evaluate the Oil and Gas Supply Chain: A Case Study Raj, Ayush Mali, Bhupendra Sunil Kumar, Bhuvnesh Singh, Chandra Sen Nainawat, Gaurav Kumar Upstream Oil and Gas Technology Article The worldwide economic shock caused by the COVID-19 outbreak has widespread and dramatic effects on the energy sector [1]. The World Health Organization (WHO) declared the COVID-19 outbreak as a pandemic by early March 2020, which resulted in the imposition of partial to complete lockdown in almost all countries and territories worldwide. This unprecedented shock has led oil and gas markets through a strong supply and trade adjustment, resulting in historically low spot prices and a drastic fall in demand [1]. Since the oil and gas supply chain is very dynamic in nature, the disturbances in maintenance operations and routine work in the oil and gas industry may result in heavy disruptions in the oil and gas industry by affecting the various areas like workforce, production, and storage in the supply chain [1,2]. This study is oriented towards the comprehensive study of the upstream oil and gas supply chain, and briefly discusses the complete oil gas supply chain. We have investigated the disruption in the supply chain based on the comparative study of the pre-pandemic and post-pandemic situations. The most affected areas of the supply chain due to the disruptions are termed as 'Hotspots' and these disruptions are imitated by developing a model in Stella software, implementing the system dynamics approach. Further, the model has worked for one fiscal year by providing data input of oil/gas prices, current and forecasted demand and impact of COVID -19 is analysed. Elsevier Ltd. 2023-09 2023-06-28 /pmc/articles/PMC10304322/ http://dx.doi.org/10.1016/j.upstre.2023.100090 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Raj, Ayush Mali, Bhupendra Sunil Kumar, Bhuvnesh Singh, Chandra Sen Nainawat, Gaurav Kumar System Dynamics Approach to Evaluate the Oil and Gas Supply Chain: A Case Study |
title | System Dynamics Approach to Evaluate the Oil and Gas Supply Chain: A Case Study |
title_full | System Dynamics Approach to Evaluate the Oil and Gas Supply Chain: A Case Study |
title_fullStr | System Dynamics Approach to Evaluate the Oil and Gas Supply Chain: A Case Study |
title_full_unstemmed | System Dynamics Approach to Evaluate the Oil and Gas Supply Chain: A Case Study |
title_short | System Dynamics Approach to Evaluate the Oil and Gas Supply Chain: A Case Study |
title_sort | system dynamics approach to evaluate the oil and gas supply chain: a case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304322/ http://dx.doi.org/10.1016/j.upstre.2023.100090 |
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