scholarly journals A multi-objective model for an integrated oil and natural gas supply chain under uncertainty

Author(s):  
Ahmed M. Ghaithan ◽  
Ahmed Attia ◽  
Salih O. Duffuaa

The oil and gas networks are overlapped because of the inclusion of associated gas in crude oil. This necessitates the integration and planning of oil and gas supply chain together. In recent years, hydrocarbon market has experienced high fluctuation in demands and prices which leads to considerable economic disruptions. Therefore, planning of oil and gas supply chain, considering market uncertainty is a significant area of research. In this regard, this study develops a multi-objective stochastic optimization model for tactical planning of downstream segment of oil and natural gas supply chain under uncertainty of price and demand of petroleum products. The proposed model was formulated based on a two-stage stochastic programming approach with a finite number of realizations. The proposed model helps to assess various trade-offs among the selected goals and guides decision maker(s) to effectively manage oil and natural gas supply chain. The applicability and the utility of the proposed model has been demonstrated using the case of Saudi Arabia oil and gas supply chain. The model is solved using the improved augmented ε-constraint algorithm. The impact of uncertainty of price and demand of petroleum products on the obtained results was investigated. The Value of Stochastic Solution (VSS) for total cost, total revenue, and service level reached a maximum of 12.6 %, 0.4 %, and 6.2% of wait-and see solutions, respectively. Therefore, the Value of the Stochastic Solution proved the importance of using stochastic programming approach over deterministic approach. In addition, the obtained results indicate that uncertainty in demand has higher impact on the oil and gas supply chain performance than the price.

2021 ◽  
Author(s):  
Stefan Ladage ◽  
Martin Blumenberg ◽  
Dieter Franke ◽  
Andreas Bahr ◽  
Rüdiger Lutz ◽  
...  

Abstract Methane emissions along the natural gas supply chain are critical for the climate benefit achievable by fuel switching from coal to natural gas in the electric power sector. For Germany, one of the world’s largest primary energy consumers, we conducted fleet-conversion modelling taking domestic and export country specific emissions in the natural gas and coal chains into account. Methane leakage rates below 4.9 % (GWP20; immediate 4.1 %) in the natural gas supply chain lead to overall reduction of greenhouse gas emissions by fuel shifting from lignite and hard coal to natural gas. Reported supply chain methane emissions for Germany’s natural gas mix are with < < 1 % leakage rates well below this Germany-specific break-even leakage rate. Even a potential supply by U.S.-American liquefied natural gas to Germany would not exceed this critical rate. Supply chain emission scenarios demonstrate that a complete shift to natural gas would emit 30–55 % less greenhouse gases than from the coal mix. However, further abating supply chain methane emissions in the oil and gas sector should remain a prime effort, when considering natural gas as bridge fuel on the path to achieve the Paris climate goals.


2020 ◽  
Vol 10 (21) ◽  
pp. 7531
Author(s):  
Ahmed M. Ghaithan

Hydrocarbon supply chain (HCSC) is a complex network that extends from oil and gas fields to demand nodes. Integrating operation and maintenance activities along this complex network is crucial since the hydrocarbon industry is the most influential sector in the world economy, and any disruptions or variations in hydrocarbon product supply will affect the whole world economy. Therefore, effective and thoughtful maintenance extends the life of an asset and enhances its reliability. To prevent huge losses in production and ultimately satisfy customer needs, the maintenance jobs are preferred to be performed during times of low demand. Thus, operation planning and maintenance scheduling decisions are dependent and should be optimized simultaneously. Therefore, the aim of this study is to develop an integrated mathematical model for the operation and maintenance planning of the oil and gas supply chain. The utility of the proposed model has been demonstrated using the Saudi Arabian HCSC. The proposed model effectively produces optimal operation and maintenance schedule decisions. A sensitivity analysis was conducted to study the effect of critical parameters on the obtained results.


2010 ◽  
Vol 3 (4) ◽  
pp. 31-64 ◽  
Author(s):  
Marte Fodstad ◽  
Kristin Tolstad Uggen ◽  
Frode Rømo ◽  
Arnt-Gunnar Lium ◽  
Geert Stremersch

2021 ◽  
pp. 0734242X2199466
Author(s):  
Naeme Zarrinpoor

This paper aims to design a supply chain network for producing double glazed glass from the recycling of waste glass. All three pillars of sustainability are taken into consideration. The economic objective tries to maximize total profits. The environmental objective considers the energy consumption, the generated waste, the greenhouse gas emission, the water consumption, and the fuel consumption of vehicles. The social objective addresses created job opportunities, the worker safety, the regional development, the worker benefit, and training hours. To solve the model, a two-stage framework based on the group best-worst method and an interactive fuzzy programming approach is developed. The proposed model is validated through a real case study based on waste glass management in the city of Shiraz. It is revealed that when sustainable development goals are approached, a great degree of improvement will be attained in environmental and social aspects without a significant decrease in the economic sustainability. The results also demonstrate that the locations of glass recycling centres are different under economic, environmental, and social pillars, and the proposed model yields an optimal system configuration with a proper satisfaction degree of all objectives. Moreover, applying the proposed solution procedure enables system designers to obtain the most desirable trade-off between different aspects of sustainability.


2021 ◽  
Author(s):  
Md Abdur Rahman ◽  
Syed M. Belal

Abstract Keeping track of the oil and gas supply chain is challenging task as the route and transportation requires sophisticated security environment - both physical systems’ and IT systems’ security. Thanks to the recent advancement in IoT, specialized sensors can keep track of the required supply chain environment. With the help of blockchain, the supply chain data can be immutably saved for further sharing with stakeholders. Due to the introduction of AI as an embedded element within 6G networks, the end-to-end supply chain process can now be automated for safety, security, and efficiency purposes. By leveraging 6G, AI, blockchain, and IoT, the supply chain data during the transportation or at rest can be monitored for any changed environment during the movement of the ship through national or international routes. In this paper, we study the requirements of such intelligent and secure supply chain management system conducive to the oil and gas industry. We also show our proof-of-concept implementation and initial test results. Our obtained results show promising prospect of the current system to be deployed to safeguard the oil and gas supply chain.


2021 ◽  
Author(s):  
Jianping Zhang ◽  
Fuping Wang ◽  
Yongsong Pu ◽  
Pu Li ◽  
Yingkai Ma ◽  
...  

Abstract After China's supply chain finance business has gradually matured in the consumer finance field, it has begun to extend to the industrial finance field. As a branch of industrial finance, the natural gas industry supply chain finance business has gradually developed, and the number of participants has gradually increased. The article mainly introduces the development status of natural gas supply chain financial services in China. Research has found that there are still many problems in the current industry development, such as the inability of effective collaboration among participants, and the inability to unify logistics, information flow, capital flow and energy flow in the industry. On this basis, the article studies the methods of blockchain technology to solve corresponding problems, and proposes the application ideas of blockchain technology in the field of natural gas supply chain finance, hoping to promote development by constructing a business model business architecture and technical architecture, This model can produce significant economic and social benefits, has a high theoretical feasibility, but there is no concrete examples at present. Finally, suggestions are made in five aspects, including strengthening the design of top-level systems, incorporating energy flows into the supply chain financial framework system, creating an open innovation atmosphere, enhancing technological progress, strengthening core corporate social responsibility, and promoting core corporate organizational innovation.


Author(s):  
Viacheslav Olegovich Mosalygin ◽  

For more than 15 years, a significant part of the budget revenues of the Russian Federation have been tax revenues from the sale of hydrocarbons, in particular oil and natural gas. Despite the desire of our government to minimize its dependence on oil and gas revenues, the government continues to implement measures to encourage both small and large companies by providing some tax-related benefits, thereby encouraging the fields to further develop and expand.


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