Article
Energy & Fuels
Ashutosh Rawat, Sonu Dhakla, Lovely Tyagi, Samir K. Maity, Prem Lama
Summary: This study focuses on the synthesis of different trimetallic NiCoMo dispersed catalysts for slurry-phase hydrocracking of Bombay High crude oil. The results show that the catalysts can effectively upgrade the crude oil, increasing the production of middle distillate and reducing the content of heavy VGO, asphaltene, vacuum residue, viscosity, and micro carbon residue. The study highlights the synergistic catalytic effect of the trimetallic NiCoMo dispersed nanocatalysts.
Article
Energy & Fuels
Ashutosh Rawat, Sonu Dhakla, Lovely Tyagi, Samir K. Maity, Prem Lama
Summary: Crude to chemicals is a relevant topic for refineries to increase profits. In this study, three different trimetallic NiCoMo dispersed catalysts were synthesized and used for the hydrocracking of Bombay High crude oil. The results showed that the catalysts effectively upgraded the crude oil, resulting in improved quality of the liquid products and reductions in asphaltene, vacuum residue, and viscosity.
Article
Engineering, Environmental
Jing Gao, Meng Hao, Tao Wu, Yujiang Li
Summary: This study aims to regenerate a crude oil-contaminated catalyst using an in-situ surfactant/solvent washing technique, finding that the Brij-58/1,2dimethylbenzene mixture can achieve superior crude oil removal efficiency, with a removal rate exceeding 95% at a high mass ratio of 1,2-dimethylbenzene. The addition of solvent can decrease the surfactant's CMC, increase the number of micelles, and enhance the mixture's washing efficiency.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Thermodynamics
Manuel Monge, Luis Alberiko Gil-Alana
Summary: This paper analyzes the spatial divergence of crude oil production in the United States, with a focus on PADD 2 and PADD 3. Using fractional integration, fractional cointegration VAR, and wavelet analysis, the study finds that areas such as Anadarko, Appalachia, Haynesville, and Niobrara are most affected by the increase in shale oil production leading to a decrease in WTI crude oil prices.
Article
Economics
Qi Zhang, Yi Hu, Jianbin Jiao, Shouyang Wang
Summary: This paper examines whether the government's control of refined oil prices can act as a shock absorber and mitigate economic impact. Using the SVAR model and dividing the sample into two sub-samples based on price regulation, it finds that there was high price regulation of refined oil before May 2009. During this period, price regulation significantly hindered economic growth when oil prices fell. However, after May 2009, the degree of price control was reduced and it promoted industrial investment and GDP growth to some extent, acting as a shock absorber. In the post-epidemic era, it is necessary to continue implementing short-term refined oil price control measures in line with China's situation, while gradually liberalizing price control in the long run to establish a market-driven pricing mechanism reflecting supply and demand. Additionally, it is important to improve and develop China's crude oil futures market and establish a modern oil circulation system.
Article
Chemistry, Applied
O. Morelos-Santos, A. I. Reyes de la Torre, P. Schacht-Hernandez, B. Portales-Martinez, I. Soto-Escalante, A. M. Mendoza-Martinez, R. Mendoza-Cruz, J. Jesus Velazquez-Salazar, M. Jose-Yacaman
Summary: In this study, the effect of NiFe2O4 nanoparticles as catalysts in heavy crude oil upgrading under low hydrogen/feedstock ratio was investigated. The experiments showed that the nanoparticles significantly improved the efficiency of heavy oil upgrading.
Article
Environmental Studies
Khalid Khan, Chi-Wei Su, Muhammad Umar, Xiao-Guang Yue
Summary: The GSADF test is used to determine whether crude oil prices have experienced multiple bubbles, with results indicating the existence of bubbles coinciding with specific crises. Factors leading to oil price bubbles include global economic expansion, imbalances in supply and demand, dollar depreciation, excess supply, etc.
Article
Environmental Studies
Xuedong Liang, Peng Luo, Xiaoyan Li, Xia Wang, Lingli Shu
Summary: This study aims to develop a novel deep reinforcement learning algorithm for multi-step ahead crude oil price forecasting. The algorithm includes a dynamic action exploration mechanism and a dynamic update policy of network parameters to improve accuracy and generalization. Experimental results show its effectiveness and universality compared with state-of-the-art algorithms. The findings have implications in accelerating global economic recovery and exploring AI in the energy market.
Article
Economics
Mingao Shao, Yongjun Hua
Summary: The study found that the Shanghai Crude Oil Futures (SC) market contributes approximately 50% to price discovery in China, which is equal to the spot market. However, compared to the West Texas Intermediate (WTI) and Brent crude oil markets, the pricing efficiency of SC lags significantly.
Article
Business, Finance
Pyung Kun Chu, Kristian Hoff, Peter Molnar, Magnus Olsvik
Summary: This paper examines the predictability of Brent crude oil price. Consistent with prior literature, the study finds that the simple no-change forecast outperforms futures-based forecasts in short-term horizons (less than one year). However, over long-term horizons (one to five years), futures-based forecasts exhibit better performance than the no-change forecast. Additionally, the best performing model imposes minimal structure on the relationship between spot and futures prices.
RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE
(2022)
Article
Economics
Hao Chen, Zesheng Sun
Summary: This study examines the dynamics of China's gasoline price response to international oil market price fluctuations and domestic price regulation. Findings include asymmetric responses to international crude oil prices, asymmetry among different refiners in response to price regulation, and distortions in both the oil market and price response dynamics. Recommendations include reforms to relax the import quota policy and deregulate prices to correct market distortions and accelerate the development of China's oil markets.
Article
Business, Finance
Lei Ming, Ping Yang, Xinyi Tian, Shenggang Yang, Minyi Dong
Summary: This paper uses the multilateral price approach to eliminate the nume'raire effect and examines whether gold and conventional safe haven currencies can act as a safe haven for crude oil during extreme market conditions. The results suggest that safe haven currencies outperform gold in terms of their refuge value for crude oil during market turmoil. Specifically, the US dollar, Swiss franc, euro, and British pound all exhibit certain degrees of safe haven characteristics for the crude oil market. Additionally, the US dollar and Swiss franc are identified as the preferred safe havens for the crude oil market, while the safe haven property of the British pound and euro varies significantly across different crisis periods.
FINANCE RESEARCH LETTERS
(2023)
Article
Economics
Mingchen Li, Zishu Cheng, Wencan Lin, Yunjie Wei, Shouyang Wang
Summary: This study proposes a novel learning paradigm that integrates the trajectory similarity method with machine learning models based on the decomposition-ensemble framework to improve the accuracy of crude oil price forecasting. By decomposing the raw data using variational mode decomposition and dividing the resulting essential modal functions into high and low frequencies using sample entropy, the data is reorganized using the forecasting properties of different models. Experimental results demonstrate that the proposed learning paradigm outperforms other benchmark models, indicating its effectiveness and robustness in crude oil price forecasting.
Article
Economics
Daniele Valenti, Andrea Bastianin, Matteo Manera
Summary: We present a weekly structural Vector Autoregressive model of the US crude oil market that explains short-run crude oil price dynamics, including variations related with the COVID-19 pandemic and Russia's invasion of Ukraine. The model is identified with a Bayesian approach and incorporates the futures-spot price spread and US inventories to capture shocks and unexpected variations in the real price of crude oil. Including the futures-spot price spread is crucial for accounting for feedback effects from the financial to the physical market and for identifying the expectational shock.
Article
Energy & Fuels
Ziang Li, Hubert Cabana, Joanna Lecka, Diana Nkuku, Abiram Karanam Rathankumar, Satinder K. Brar, Rosa Galvez, Jean-Philippe Bellenger
Summary: The increasing exploitation of unconventional bitumen-derived oils from Alberta has raised new environmental concerns. This study focuses on characterizing PAHs in Synthetic Crude Oil (SCO) and comparing it with Texas intermediate crude oil. The results show significant differences in PAH composition, eco-toxicity, and loss rates between SCO and Texas soil.
Article
Engineering, Mechanical
Mohan S. Rana, K. Ravindranath, N. Tanoli
ENGINEERING FAILURE ANALYSIS
(2015)
Article
Energy & Fuels
Faisal S. AlHumaidan, Andre Hauser, Mohan S. Rana, Haitham M. S. Lababidi, Montaha Behbehani
Article
Energy & Fuels
Faisal S. AlHumaidan, Andre Hauser, Mohan S. Rana, Haitham M. S. Lababidi
Article
Energy & Fuels
Faisal S. AlHumaidan, Andre Hauser, Mohan S. Rana, Haitham M. S. Lababidi
Review
Engineering, Chemical
Mad Vinoba, Margandan Bhagiyalakshmi, Yousef Alqaheem, Abdulaziz A. Alomair, Andres Perez, Mohan S. Rana
SEPARATION AND PURIFICATION TECHNOLOGY
(2017)
Article
Chemistry, Applied
Mohan S. Rana, A. Al-Barood, R. Brouresli, A. W. Al-Hendi, N. Mustafa
FUEL PROCESSING TECHNOLOGY
(2018)
Article
Chemistry, Applied
Mohan S. Rana, J. Ancheyta, Sangram K. Sahoo, P. Rayo
Article
Chemistry, Applied
A. Marafi, H. Albazzaz, Mohan S. Rana
Article
Chemistry, Applied
Mohan S. Rana, Faisal S. AlHumaidan, R. Navvamani
Article
Chemistry, Applied
A. Marafi, A. Al-Barood, H. AlBazzaz, Mohan S. Rana
Article
Chemistry, Physical
Sakeena H. AlSairafi, N. AlNajdi, H. AlSheeha, Mohan S. Rana
REACTION KINETICS MECHANISMS AND CATALYSIS
(2020)
Article
Chemistry, Multidisciplinary
Faisal S. AlHumaidan, Mohan S. Rana, Haitham M. S. Lababidi, Andre Hauser
Article
Chemistry, Physical
Mohan S. Rana, Faisal S. AlHumaidan, Rashed Bouresli, R. Navvamani
Summary: The study developed a prototype FeMo catalyst for guard-bed catalysis, optimizing the textural properties of the support to create a HDM catalyst with large pore volume and bimodal pore structure. The support composition and pretreatment methodology significantly influenced the catalyst performance, with the carbon-alumina ratio of 1:1 showing the best composition.
MOLECULAR CATALYSIS
(2021)
Article
Spectroscopy
Faisal S. AlHumaidan, Mohan S. Rana
Summary: This study aimed to determine the aromatic sheet diameter and the number of aromatic sheets per stack for asphaltene molecules from Raman spectra by optimizing empirical equations. The best results were obtained when using specific equations and fitting Raman spectra with Gaussian function. The empirical equations proposed for crystalline carbon materials were found to be applicable to asphaltene with certain adjustments in the Raman spectrum analysis.
JOURNAL OF RAMAN SPECTROSCOPY
(2021)
Article
Chemistry, Multidisciplinary
Faisal. S. S. AlHumaidan, Mohan. S. S. Rana, Mari Vinoba, Hanadi. M. M. AlSheeha, Afnan. A. A. Ali, R. Navvamani
Summary: A method for synthesizing graphene derivatives from asphaltene is proposed, which mainly consist of few-layer randomly distributed heteroatoms, sulfur and nitrogen. The method involves thermal treatment of asphaltene under an inert atmosphere at temperatures ranging from 400 to 950 degrees C. Different types of asphaltenes were used to validate the method, and results showed similar structural parameters in the obtained graphene derivatives. Three factors were identified for the transformation of asphaltene to graphene derivatives: reduction in the number of aromatic layers, expansion in the aromatic sheet diameter, and elimination of alkyl side chains. Defect density in the graphene derivatives was found to be associated with the presence of heteroatoms.
