A robust crude oil supply chain design under uncertain demand and market price: A case study

Beiranvand, Heidar; Ghazanfari, Mehdi; Sahebi, Hadi; Pishvaee, Mir Saman

doi:10.2516/ogst/2018056

Cited by 16 publications

(11 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They also used Auto-Regressive Integrated Moving Average (ARIMA) method for time series analysis and a scenario reduction method to compress the problem dimensions. Beiranvand et al [32] proposed a robust optimization model to consider demand and price uncertainties.…”

Section: Literature Review Of Oil and Petroleum Products Supply Chainmentioning

confidence: 99%

An integrated gas-oil and bio-diesel supply network model with strategic and tactical applications considering the environmental aspects

Rafie

Sahebi

2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

Self Cite

View full text Add to dashboard Cite

In recent years, research has shown that biomass can be a source of energy to replace fossil fuels and effectively reduce current environmental crises. Researchers have studied how biofuels are supplied through the oil supply chain to achieve tangible results. This paper presents an optimization model for the gas-oil and biodiesel supply chains suggesting the optimization of both supply chains simultaneously for the first time. The proposed model deals with the connection points of two supply chains and determines the two chains’ connection points by considering two economic and environmental objective functions. The model can be used to make decisions on issues such as location, allocation, production planning, inventory management, capacity expansion, and so forth. The proposed programming model’s performance has been studied through a real case study in Iran and the sensitivity analyses have been performed. The ε-constraint method was used to solve the multi-objective model. The proposed model is expected to be effective in the future management of countries’ fuel sources, particularly to be used as an alternative to fossil fuels. Also, this research can provide a basis for more extensive research on fuel supply chain integration.

show abstract

Section: Literature Review Of Oil and Petroleum Products Supply Chainmentioning

confidence: 99%

An integrated gas-oil and bio-diesel supply network model with strategic and tactical applications considering the environmental aspects

Rafie

Sahebi

2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

Self Cite

View full text Add to dashboard Cite

show abstract

“…There are some studies in reservoir engineering concepts that focus on optimization under uncertainty. [7,[56][57][58][59] Also, in production optimization research, most studies have focused on hierarchical optimization. [10,19,[47][48][49]60,61] Some researchers used the average NPV for optimization under uncertainty of model in single-objective optimization problems.…”

Section: Pso-based Multi-purpose Optimization Approachmentioning

confidence: 99%

Model‐based multi‐objective particle swarm production optimization for efficient injection/production planning to improve reservoir recovery

2021

View full text Add to dashboard Cite

This study employs an adjusted version of the multi-objective particle swarm optimization (MOPSO) algorithm to plan an optimized reservoir's injection/production strategy. Three case studies, including two water-flooding benchmark models and one gas-condensate problem, are exercised as subjected problems to validate the MOPSO approach. The contradicting values of objectives, long-term net present value (LNPV) versus short-term net present value (SNPV), are obtained so that relying on a Pareto front improves decision-making. In one water-flooded case, inflow control valves of smart wells are considered to be adjusted within the optimization, while in the second case, the optimized well injection rates are control variables. The obtained results for water-flooded reservoirs are shown to optimize the competitive objective functions more than the previous efforts in the literature. Moreover, 10 different permeability maps of the second case are implemented to obtain the optimum injection rates to perform optimization under uncertainty. The MOPSO robustly optimized the production/ injection strategy in the presence of model uncertainty. In the gas-condensate problem, the optimal gas injection rate in the SPE-3 benchmark model is determined. The gas-condensate case's outputs yield a decreased oil saturation result in the reservoir compared to non-optimized production scenarios. Results illustrate that for all cases, MOPSO can provide optimal injection/production scenarios. Therefore, the proposed scheme gives the advantage of deciding between the set of results into a decision-maker to optimize the production program by tradingoff within different strategies. Besides the Pareto fronts with adequate variety and steadiness, a great converging rate is the main advantage of this method.

show abstract

“…Amount of environmental impact, incidence analysis for the ten points of the Pareto frontier in the second scenario. building tax should be examined more accurately, 2) the social costs and amount of pollution due to building construction should be addressed, and 3) uncertainties in parameters should be considered through robust and fuzzy methods to make the model closer to reality [43].…”

Section: Conclusion and Suggestions For Future Researchmentioning

confidence: 99%

A sustainable mathematical model for design of net zero energy buildings

Delavar¹,

Sahebi

2020

Heliyon

Self Cite

View full text Add to dashboard Cite

Energy is vital recourse for economic development of today's business. The services demanded of residential and commercial buildings require substantial energy use. Energy consumption in this sector has been growing in total, gradually. As a result the high emission of greenhouse gases is released and, hence, the saving energy with better building management have made a major priority of the energy and environment sectors throughout the world. In this direction, to reduce energy consumption and mitigate environmental impacts in buildings, net-zero energy buildings (NZEB) is a very effective solution. As a result, a multi-objective model is developed to identify the best combination of materials and construction options considering their related costs, energy efficiency, and environmental impacts of buildings, simultaneously. This sustainable model is presented to construct a building considering the construction costs and energy consumption of the design options. To design the NZEB, while minimizing costs and carbon emissions, use has been made of a combination of different types of active/heating and cooling systems and renewable equipment through such high-efficiency, effective, and updated technologies as the solar panel. Finally, the case study of a residential building with two scenarios is used to demonstrate the proposed framework. The results show that, for scenarios1 and 2 respectively using insulation thickness such as (wall, roof, and windows) and renewable equipment have the highest sustainable impact in NEBZ's performance.

show abstract

A robust crude oil supply chain design under uncertain demand and market price: A case study

Cited by 16 publications

References 29 publications

An integrated gas-oil and bio-diesel supply network model with strategic and tactical applications considering the environmental aspects

An integrated gas-oil and bio-diesel supply network model with strategic and tactical applications considering the environmental aspects

Model‐based multi‐objective particle swarm production optimization for efficient injection/production planning to improve reservoir recovery

A sustainable mathematical model for design of net zero energy buildings

Contact Info

Product

Resources

About