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Relevant bibliographies by topics / Petroleum products Prices Computer simulation

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Academic literature on the topic 'Petroleum products Prices Computer simulation'

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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Journal articles on the topic "Petroleum products Prices Computer simulation"

1

Karpova, Tatiana S., Vladimir I. Moiseev, and Vera A. Ksenofontova. "Simulation of the circulation method for discharging viscous petroleum products." Transportation Systems and Technology 6, no. 2 (2020): 94–105. http://dx.doi.org/10.17816/transsyst20206294-105.

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Background: In the domestic market, the consumption of fuel oil increases during the winter period, leading to higher prices. At the same time, the cost of inputs and the time for the discharge of viscous oil products are greatly increased. The duration of the discharge process is related to the physico-chemical properties of the fuel oil. Its viscosity depends on the temperature of the product itself and the temperature of the environment, which in our country averages 5.5 C per year. Aim: Reduction in the length and cost of transport of viscous petroleum products. Methods: The ar

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2

Kalinichenko, Antonina, Valerii Havrysh, and Igor Atamanyuk. "The Acceptable Alternative Vehicle Fuel Price." Energies 12, no. 20 (2019): 3889. http://dx.doi.org/10.3390/en12203889.

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Historically, petroleum fuels have been the dominant fuel used for land transport. However, the growing need for sustainable national economics has urged us to incorporate more economical and ecological alternative vehicle fuels. The advantages and disadvantages of them complicate the decision-making process and compel us to develop adequate mathematical methods. Alternative fuel (compressed natural gas, liquefied petroleum gas, and ethanol fuel mixtures), the standard prices and their ratios were investigated. A mathematical model to determine a critical ratio between alternative and conventi

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3

Radmehr, Riza, and Shida Rastegari Henneberry. "Energy Price Policies and Food Prices: Empirical Evidence from Iran." Energies 13, no. 15 (2020): 4031. http://dx.doi.org/10.3390/en13154031.

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During the last decade, the rising trend in energy prices and its potential effect on food prices have become a controversial issue between policy-makers and economists. Therefore, research addressing the relationship between food and macroeconomic variables, such as energy prices, will be useful in providing information for the design of appropriate economic policies. This study uses data from Iran to examine the impacts (short- and long-term) of exchange rate and energy prices on food prices. Iran is a good case study as in recent years its consumers have faced a rapid increase in both fuel

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4

Nkomo, JC. "The impact of higher oil prices on Southern African countries." Journal of Energy in Southern Africa 17, no. 1 (2006): 10–17. http://dx.doi.org/10.17159/2413-3051/2006/v17i1a3373.

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In determining the magnitude of oil shocks to the economies of Southern Africa, it is essential that we examine the various components of vulnerability, as well as the crude oil price movements and the relationship between energy and development. Because energy consumers and producers are constrained by their energy consuming appliances which are fixed n the short-run, thus making it difficult to shift to less oil intensive means of production in response to higher oil prices, oil price shocks increase the total import bill for a country largely because of the huge increase in the cost of oil

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5

Balubaid, Mohammed, Mohammad Amir Sattari, Osman Taylan, Ahmed A. Bakhsh, and Ehsan Nazemi. "Applications of Discrete Wavelet Transform for Feature Extraction to Increase the Accuracy of Monitoring Systems of Liquid Petroleum Products." Mathematics 9, no. 24 (2021): 3215. http://dx.doi.org/10.3390/math9243215.

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This paper presents a methodology to monitor the liquid petroleum products which pass through transmission pipes. A simulation setup consisting of an X-ray tube, a detector, and a pipe was established using a Monte Carlo n-particle X-version transport code to investigate a two-by-two mixture of four different petroleum products, namely, ethylene glycol, crude oil, gasoline, and gasoil, in deferent volumetric ratios. After collecting the signals of each simulation, discrete wavelet transform (DWT) was applied as the feature extraction system. Then, the statistical feature, named the standard de

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6

Vasilica, Florentina-Aurelia, Fanel-Viorel Panaitescu, Mariana Panaitescu, Ionut Voicu, Daniela-Elena Juganaru, and Valeriu Nicolae Panaitescu. "SIMULATION OF RISK MINIMIZATION IN CASE OF POLLUTION ON MARINE AREAS." International Journal of Modern Manufacturing Technologies 14, no. 3 (2022): 291–98. http://dx.doi.org/10.54684/ijmmt.2022.14.3.291.

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In this paper are presented the results obtained from a simulation of a pollution situation with crude oil products and the efficiency of the use of hydrocarbon recovery systems. In the event of major pollution accidents, in which the oil moves and touches the sandy drum, the only way of disposing is to load the polluted sand and to bring another in place, very costly and difficult operation. So, recovering a large amount of oil offshore is highly recommended. The phenomenon that governess the dynamics of pollution has been simulated using CFD (Computer Fluid Dynamics) and involves as follows:

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7

Wan, Zhaoman, Saihua Zhu, and Zhong Wan. "An integrated stochastic model and algorithm for multi-product newsvendor problems." International Journal of Modeling, Simulation, and Scientific Computing 11, no. 04 (2020): 2050027. http://dx.doi.org/10.1142/s1793962320500270.

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In this paper, a multi-product newsvendor problem is formulated as a random nonlinear integrated optimization model by taking into consideration the selling price, the producing and outsourcing quantities, and the nonlinear budget constraint. Different from the existing models, the demands of products depend on the prices, as well as being time-varying due to random market fluctuation. In addition, outsourcing strategy is adopted to deal with possible shortage caused by the limited capacity. Consequently, the constructed model is involved with joint optimization of the producing and outsourcin

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8

ZHU, JISHAN. "PROFITABILITY ANALYSIS OF FREE UPGRADE POLICY." International Journal of Information Technology & Decision Making 07, no. 02 (2008): 217–24. http://dx.doi.org/10.1142/s0219622008002910.

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We consider a firm selling two similar products with different prices. When the lower-priced product is out of stock, the firm supplies the customer a higher-priced product with the lower-priced product price. The policy is called free upgrade. In this paper, we study the profitability of such policy. We formulate the problem as a two-product newsvendor problem, and prove that the firm achieves more profit with the free upgrade policy. We propose a simulation algorithm to find the solution and demonstrate our findings with some numerical examples.

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9

Xue, Qianyi, Yuewei Ling, and Bingwei Tian. "Portfolio Optimization Model for Gold and Bitcoin Based on Weighted Unidirectional Dual-Layer LSTM Model and SMA-Slope Strategy." Computational Intelligence and Neuroscience 2022 (June 8, 2022): 1–18. http://dx.doi.org/10.1155/2022/1869897.

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Portfolio optimization is one of the most complex problems in the financial field, and technical analysis is a popular tool to find an optimal solution that maximizes the yields. This paper establishes a portfolio optimization model consisting of a weighted unidirectional dual-layer LSTM model and an SMA-slope strategy. The weighted unidirectional dual-layer LSTM model is developed to predict the daily prices of gold/Bitcoin, which addresses the traditional problem of prediction lag. Based on the predicted prices and comparison of two representative investment strategies, simple moving average

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10

Ghaithan, Ahmed M., Ahmed M. Attia, and Salih O. Duffuaa. "A multi-objective model for an integrated oil and natural gas supply chain under uncertainty." RAIRO - Operations Research 55, no. 6 (2021): 3427–46. http://dx.doi.org/10.1051/ro/2021158.

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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 chai

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