Article
Energy & Fuels
Syed Imran Ali, Shaine Mohammadali Lalji, Javed Haneef, Usama Ahsan, Syed Mohammad Tariq, Syed Talha Tirmizi, Ramsha Shamim
Summary: The main goal of Petroleum Exploration and Production (E&P) companies is to achieve sustainable hydrocarbon production throughout the oil field life, but asphaltene precipitation and deposition pose a major challenge to this goal. Proper screening of asphaltene stability in crude oils can help predict stability accurately and plan preventive measures. Different dead and live oil screening techniques have their own limitations, risks, and advantages, and a detailed analysis and comparison can help in selecting the best technique for monitoring asphaltene stability in crude oils.
Article
Energy & Fuels
Zeinab Hosseini-Dastgerdi, Ashkan Maleki, Ebrahim Elyassi, Alimorad Rashidi
Summary: This study evaluates the potential application of silica-polyacrylamide nanocomposites in inhibiting asphaltene precipitation. The nanocomposites delay the onset of asphaltene precipitation and control the size of aggregates through adsorption. This research demonstrates the effectiveness of silica-polyacrylamide nanocomposites in handling asphaltene precipitation.
PETROLEUM SCIENCE AND TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Syed Imran Ali, Shaine Mohammadali Lalji, Muhammad Rizwan, Zahoor Awan, Saud Hashmi, Syed Danish Rasool
Summary: The flow properties of crude oil can be improved by increasing temperature or diluting the oil with lower molecular weight hydrocarbons. However, these operational changes often lead to asphaltene deposition problems. In this study, a two-level full factorial design was applied to investigate the effect of three experimental parameters on the yield of asphaltene weight percentage. The results showed that dilution ratio has a significant positive effect, while molecular weight of precipitant and temperature have a moderate negative effect on the response variable. The study provides a useful methodology for optimizing production parameters.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Review
Energy & Fuels
Murray R. Gray, Harvey W. Yarranton, Martha L. Chacon-Patino, Ryan P. Rodgers, Brice Bouyssiere, Pierre Giusti
Summary: The molecules in petroleum asphaltenes form nanoaggregates in solution with debated size distribution, impacting phase behavior, physical properties, and processing of heavy petroleum fractions. The molecular weight ranges high with sizes below 100 nm, and large aggregates play a significant role in phase separation and emulsion stabilization. Average properties of asphaltene fraction can predict phase separation, gravity segregation, and other properties.
Article
Energy & Fuels
Syed Imran Ali, Shaine Mohammadali Lalji, Javed Haneef, Clifford Louis, Abdus Saboor, Nimra Yousaf
Summary: This research study compares the performance of different scaling equations and non-scaling models in modeling asphaltene precipitation, finding that all scaling equations are reasonably accurate in predicting asphaltene weight percentage. However, they are less accurate in predicting critical dilution ratio compared to non-scaling models.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Mingxuan Li, Yupeng Tian, Chuangye Wang, Cuiyu Jiang, Chaohe Yang, Longli Zhang
Summary: This study investigated the effect of temperature on asphaltene precipitation during crude oil production. The results revealed that the solubility of asphaltene increased with temperature and smaller particle size led to higher dispersion rate. Different asphaltenes showed different sensitivity to temperature. The aggregate structure was found to be an important factor for asphaltene stability. X-ray diffraction and molecular dynamics simulation were used to support the findings.
Article
Automation & Control Systems
Syed Imran Ali, Shaine Mohammadali Lalji, Zahoor Awan, Muhammad Qasim, Thamraa Alshahrani, Firoz Khan, Sami Ullah, Almas Ashraf
Summary: The main aim of this study is to predict asphaltene stability in crude oil as a function of its SARA values using machine learning algorithms. Four machine learning algorithms, Linear discriminant analysis (LDA), Linear regression (LR), decision tree (DT), and random forest (RF) were applied to predict the asphaltene stability of 95 crude oils. SARA values of these oil samples were taken as input parameters and visualized comprehensively using different plots. The overall accuracy of LDA was observed to be the highest and the Resins feature was found to be the most important parameter in predicting asphaltene stability.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2023)
Article
Energy & Fuels
Roque Guzman, Silvano Rodriguez, Pablo Torres-Mancera, Jorge Ancheyta
Summary: Appropriate prediction of asphaltene stability is crucial for anticipating operational problems in petroleum production, processing, transportation, and storage. This study evaluated the stability of crude oils using various methods and found discrepancies in the results, highlighting the importance of using multiple methodologies for accurate prediction.
Article
Chemistry, Multidisciplinary
Syed Imran Ali, Shaine Mohammadali Lalji, Javed Haneef, Syed Mohammad Tariq, Muhammad Junaid, Syed Muhammad Aun Ali
Summary: The main goal of this study is to monitor the stability of crude oils in terms of both precipitation and deposition magnitude with respect to time. Experimental techniques, including a deposit level test and a spot test, were integrated and applied simultaneously on six crude oils. The study found that all crude oils exhibited potential for both asphaltene precipitation and deposition, with crude oil B being the riskiest and crude oil E being the least risky. Sensitivity analysis showed that time had a strong positive correlation with deposition level, while specific gravity had a moderate negative correlation with precipitation intensity and deposition level.
Article
Energy & Fuels
Muhieddine A. Safa, Shayan Enayat, Abeer M. Rashed, Mohammad Tavakkoli, Ebtisam F. Ghloum, Ridha Gharbi, Sriram Santhanagopalan, Francisco M. Vargas
Summary: In this study, advanced technologies were used to investigate the stability of asphaltenes in different Kuwaiti oils, revealing that characteristics such as H/C ratios, aromaticity, and degree of condensation significantly affect asphaltene precipitation. Additionally, low molecular weight alkanes were found to have a higher tendency to precipitate a wider range of soluble asphaltenes in crude oil. The least stable asphaltenes exhibited the lowest asphaltene onset point detected by the indirect method.
PETROLEUM SCIENCE AND TECHNOLOGY
(2022)
Article
Energy & Fuels
M. Daniela Contreras-Mateus, Francisco H. Sanchez, Diana M. Canas-Martinez, Nashaat N. Nassar, Arlex Chaves-Guerrero
Summary: This article investigates the adsorptive phenomena of nanomaterials and asphaltenes, focusing on magnetite nanoparticles/asphaltene systems and the effect of resins as stabilizing colloidal agents. The results show rapid asphaltene adsorption following the external mass transfer model and equilibrium adsorption described by the monolayer Langmuir model. The research also discovered that the adsorbed asphaltenes create a steric repulsive barrier between particles, reducing interaction intensity.
Article
Energy & Fuels
Fei Yang, Ze Duan, Daiwei Liu, Chuanxian Li, Guangyu Sun, Hao Zhang, Bo Yao
Summary: In this study, a series of multi-alkylated aromatic amides (MAA) amphiphiles were synthesized and evaluated as asphaltene dispersants for Saudi crude oil. Experimental results showed that adding MAA-3 significantly increased the initial flocculation point, reduced the size of asphaltene aggregates, and increased the viscosity of the oil sample. The number of alkyl side chains was found to affect the performance of the asphaltene dispersants, with MAA-3 exhibiting the best performance. Molecular simulation results further validated the experimental findings.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Petroleum
Davi Costa Salmin, Jose Delgado-Linares, David T. Wu, Luis E. Zerpa, Carolyn A. Koh
Summary: Some crude oils contain natural surfactants that prevent hydrate agglomeration, which is linked to the aggregation state of asphaltenes. Artificially modifying the aggregation state of asphaltenes can alter the natural hydrate antiagglomeration properties of crude oils. This finding could have implications for novel hydrate management strategies that utilize the intrinsic antiagglomerant properties of certain crude oils.
Article
Energy & Fuels
Fabio P. Nascimento, Veronica J. Pereira, Renan P. Souza, Rui C. A. Lima, Gloria M. N. Costa, Paulo T. V. Rosa, Ana F. Forca, Silvio A. B. Vieira de Melo
Summary: In this study, the PVT properties of a crude oil from the Brazilian pre-salt layer were experimentally investigated, and the calculated results using PR-EoS were found to be in agreement with the experimental data. The experimental data showed a decrease in AOP and an increase in BP as temperature rises.
Article
Multidisciplinary Sciences
Alaa Ghanem, Maher I. Nessim, N. A. Khalil, Raghda A. El-Nagar
Summary: Deposition of asphaltene aggregates can significantly affect oil production and catalytic reactions in the refinery process. This study synthesized and characterized three different ionic liquids as asphaltene dispersants, and evaluated their efficiency. The results showed that ILs with alkyl chains exhibited better dispersion activity.
SCIENTIFIC REPORTS
(2023)
