scholarly journals Evaluation of the Different Compatibility Indices to Model and Predict Oil Colloidal Stability and Its Relation to Crude Oil Desalting

Resources ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 75
Author(s):  
Ivelina K. Shishkova ◽  
Dicho S. Stratiev ◽  
Mariana P. Tavlieva ◽  
Rosen K. Dinkov ◽  
Dobromir Yordanov ◽  
...  
Keyword(s):  
Crude Oil ◽  
Colloidal Stability ◽  
Crude Oils ◽  
Oil Blend ◽  
Light Medium

Thirty crude oils, belonging to light, medium, heavy, and extra heavy, light sulfur, and high sulfur have been characterized and compatibility indices defined. Nine crude oil compatibility indices have been employed to evaluate the compatibility of crude blends from the thirty individual crude oils. Intercriteria analysis revealed the relations between the different compatibility indices, and the different petroleum properties. Tetra-plot was employed to model crude blend compatibility. The ratio of solubility blending number to insolubility number was found to best describe the desalting efficiency, and therefore could be considered as the compatible index that best models the crude oil blend compatibility. Density of crude oil and the n-heptane dilution test seem to be sufficient to model, and predict the compatibility of crude blends.

THE COLLOIDAL STABILITY OF CRUDE OILS AND CRUDE OIL RESIDUES

1999 ◽  
Vol 17 (3-4) ◽  
pp. 349-368 ◽  
Author(s):  
Horst Laux ◽  
Iradj Rahimian ◽  
Peter Schorling
Keyword(s):  
Crude Oil ◽  
Colloidal Stability ◽  
Crude Oils

scholarly journals Comparative Evaluation of Metals and Heavy Metals in Some Yemeni Crude and Fuel Oil

2020 ◽  
Vol 8 (6) ◽  
Author(s):  
Rokhsana M. Ismail ◽  
Fatima Sahleh Nagi
Keyword(s):  
Heavy Metals ◽  
Crude Oil ◽  
Modern Society ◽  
Oil Fields ◽  
Fuel Oil ◽  
Raw Material ◽  
Crude Oils ◽  
Two Samples ◽  
Fuel Oils ◽  
Oil Blend

Due to high importance of the crude oil to the modern society as a source of energy and as raw material for a wide chemical and petro chemical industries. In this study we made assessment of metals and heavy metals  in some Yemeni crude, and fuel oils namely Mareb crude oil blend, Masila crude oil blend plus two samples from Sounah and Hijah oil fields in Masila basin. Fifteen  metals and heavy metals were determined in above samples, but the most indicated were ( Na, K, Mg, ) and ( V, Co, Ni ) using ICP technique and atomic absorption spectroscopy . The order of concentration of metals in Yemeni crude oils were as shown in figures: Na < K < Co < Mg < V < Ni < Ca< Fe < Cd < Al< Zn < Cr < Cu < Pb < Mn. In Fuel oil: Na < Co < V < Mg < K < Ni < Ca < Fe < Al < Cd < Zn < Cr< Pb < Mn < Cu. Comparing concentrations of metals in studied sample, in general were less than in crude oil and fuel oil in many countries. That mean Yemeni crude and fuel oil are the best in quality. The order of concentration of metals in Yemeni crude oils were as shown in figures: Na < K < Co < Mg < V < Ni < Ca< Fe < Cd < Al< Zn < Cr < Cu < Pb < Mn. In Fuel oil: Na < Co < V < Mg < K < Ni < Ca < Fe < Al < Cd < Zn < Cr< Pb < Mn < Cu. Comparing concentrations of metals in studied sample, in general were less than in crude oil and fuel oil in many countries. That mean Yemeni crude and fuel oil are the best in quality.  

New Colloidal Stability Index for Crude Oils Based on Polarity of Crude Oil Components

2010 ◽  
Vol 24 (12) ◽  
pp. 6483-6488 ◽  
Author(s):  
Victor V. Likhatsky ◽  
Rustem Z. Syunyaev
Keyword(s):  
Crude Oil ◽  
Colloidal Stability ◽  
Stability Index ◽  
Crude Oils ◽  
Oil Components

scholarly journals Performance of asphaltene stability predicting models in field environment and development of new stability predicting model (ANJIS)

2021 ◽  
Author(s):  
Abdus Saboor ◽  
Nimra Yousaf ◽  
Javed Haneef ◽  
Syed Imran Ali ◽  
Shaine Mohammadali Lalji
Keyword(s):  
Crude Oil ◽  
Colloidal Stability ◽  
Stability Index ◽  
Crude Oils ◽  
Asphaltene Precipitation ◽  
Oil Composition ◽  
Stability Parameters ◽  
Predicting Model ◽  
Hydrocarbon Production ◽  
Asphaltene Deposition

AbstractAsphaltene Precipitation is a major issue in both upstream and downstream sectors of the Petroleum Industry. This problem could occur at different locations of the hydrocarbon production system i.e., in the reservoir, wellbore, flowlines network, separation and refining facilities, and during transportation process. Asphaltene precipitation begins due to certain factors which include variation in crude oil composition, changes in pressure and temperature, and electrokinetic effects. Asphaltene deposition may offer severe technical and economic challenges to operating Exploration and Production companies with respect to losses in hydrocarbon production, facilities damages, and costly preventive and treatment solutions. Therefore, asphaltene stability monitoring in crude oils is necessary for the prevention of aggravation of problem related to the asphaltene deposition. This study will discuss the performance of eleven different stability parameters or models already developed by researchers for the monitoring of asphaltene stability in crude oils. These stability parameters include Colloidal Instability Index, Stability Index, Colloidal Stability Index, Chamkalani’s stability classifier, Jamaluddin’s method, Modified Jamaluddin’s method, Stankiewicz plot, QQA plots and SCP plots. The advantage of implementing these stability models is that they utilize less input data as compared to other conventional modeling techniques. Moreover, these stability parameters also provide quick crude oils stability outcomes than expensive experimental methods like Heithaus parameter, Toluene equivalence, spot test, and oil compatibility model. This research study will also evaluate the accuracies of stability parameters by their implementation on different stability known crude oil samples present in the published literature. The drawbacks and limitations associated with these applied stability parameters will also be presented and discussed in detail. This research found that CSI performed best as compared to other SARA based stability predicting models. However, considering the limitation of CSI and other predictors, a new predictor, namely ANJIS (Abdus, Nimra, Javed, Imran & Shaine) Asphaltene stability predicting model is proposed. ANJIS when used on oil sample of different conditions show reasonable accuracy. The study helps Petroleum companies, both upstream and downstream sector, to determine the best possible SARA based parameter and its associated risk used for the screening of asphaltene stability in crude oils.

Study of the Effect of Crude Oils on the Metallic Corrosion

2018 ◽  
Vol 5 (1) ◽  
pp. 43-54
Author(s):  
Suresh Aluvihara ◽  
Jagath K Premachandra
Keyword(s):  
Crude Oil ◽  
Sulfur Content ◽  
Salt Content ◽  
Ferrous Metal ◽  
Relative Weight ◽  
Oil Refining ◽  
Crude Oils ◽  
Hardness Tester ◽  
Corrosion Rates ◽  
Ferrous Metals

Corrosion is a severe matter regarding the most of metal using industries such as the crude oil refining. The formation of the oxides, sulfides or hydroxides on the surface of metal due to the chemical reaction between metals and surrounding is the corrosion that  highly depended on the corrosive properties of crude oil as well as the chemical composition of ferrous metals since it was expected to investigate the effect of Murban and Das blend crude oils on the rate of corrosion of seven different ferrous metals which are used in the crude oil refining industry and investigate the change in hardness of metals. The sulfur content, acidity and salt content of each crude oil were determined. A series of similar pieces of seven different types of ferrous metals were immersed in each crude oil separately and their rates of corrosion were determined by using their relative weight loss after 15, 30 and 45 days. The corroded metal surfaces were observed under the microscope. The hardness of each metal piece was tested before the immersion in crude oil and after the corrosion with the aid of Vicker’s hardness tester. The metallic concentrations of each crude oil sample were tested using atomic absorption spectroscopy (AAS). The Das blend crude oil contained higher sulfur content and acidity than Murban crude oil. Carbon steel metal pieces showed the highest corrosion rates whereas the stainless steel metal pieces showed the least corrosion rates in both crude oils since that found significant Fe and Cu concentrations from some of crude oil samples. The mild steel and the Monel showed relatively intermediate corrosion rates compared to the other types of ferrous metal pieces in both crude oils. There was a slight decrease in the initial hardness of all the ferrous metal pieces due to corrosion.

scholarly journals Determination of the vaporization order of crude oils through the chemical analysis of crude oil residues burned on water

Chemosphere ◽  
2021 ◽  
pp. 131563
Author(s):  
Laurens van Gelderen ◽  
Kristoffer Gulmark Poulsen ◽  
Jan H. Christensen ◽  
Grunde Jomaas
Keyword(s):  
Chemical Analysis ◽  
Crude Oil ◽  
Crude Oils

COMPLEX PERMITTIVITY OF CRUDE OILS AND SOLUTIONS OF HEAVY CRUDE OIL FRACTIONS

1998 ◽  
Vol 19 (1) ◽  
pp. 93-126 ◽  
Author(s):  
Trond Friisø ◽  
Yannick Schildberg ◽  
Odile Rambeau ◽  
Tore Tjomsland ◽  
Harald Førdedal ◽  
...  
Keyword(s):  
Crude Oil ◽  
Complex Permittivity ◽  
Crude Oils ◽  
Heavy Crude Oil ◽  
Oil Fractions ◽  
Heavy Crude ◽  
Crude Oil Fractions

TEMPERATURE EFFECT ON DENSITY AND VISCOSITY OF LIGHT, MEDIUM, AND HEAVY CRUDE OILS

2020 ◽  
Author(s):  
D Sagdeev ◽  
◽  
Ch. Isyanov ◽  
I Gabitov ◽  
V Khairutdinov ◽  
...  
Keyword(s):  
Crude Oil ◽  
Atmospheric Pressure ◽  
Oil Field ◽  
Viscosity Data ◽  
Rotational Viscometer ◽  
Correct Operation ◽  
Hydrostatic Weighing ◽  
Weighing Method ◽  
Light Medium ◽  
Measured Density

The density and dynamic viscosity of four light, medium, and heavy (extra-viscous) crude oil samples from Tatarstan Oil Field (Russian Federation) have been measured over the temperature range from (293 to 473) K (for density) and from (293 to 348) K (for viscosity) at atmospheric pressure (101 kPa). The density measurements were made using a new densimeter based on hydrostatic weighing method. The viscosity measurements of the same crude oil samples were made us-ing Brookfield rotational viscometer (DV-II+PRO, LVD-II+PRO). The combined expanded uncertainty of the density, viscosity, atmospheric pressure, and temperature measurements at 0.95 confidence level with a coverage factor of k = 2 is estimated to be 0.16 %, 1.0 %, 1.0 %, and 20 mK, respectively. For validation of the reliability and accuracy of the measured density data and correct operation of the new densimeter, all oil samples were measured using the pycnometric method. The present study showed that the densities measured using the new hydrostatic weighing densimeter (HWD) are agree with the values obtained with pycnometric method within (0.03 to 0.14) %. The measured density and viscosity data were used to develop widerange correlations as a function of temperature and API characteristics. The measured densities were represented using simple function of temperature (polynomial type) with API gravity dependent parameters with an accuracy of AAD within from (0.10 to 0.18) %. The measured viscosity data were also used to develop linear Arrhenius and VTF models. API gravity dependence of the Arrhenius parameters was studied.

scholarly journals Comparing Crude Oils with Different API Gravities on a Molecular Level Using Mass Spectrometric Analysis. Part 1: Whole Crude Oil

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2766 ◽  
Author(s):  
Jandyson Santos ◽  
Alberto Wisniewski Jr. ◽  
Marcos Eberlin ◽  
Wolfgang Schrader
Keyword(s):  
Crude Oil ◽  
Atmospheric Pressure ◽  
Molecular Level ◽  
Carbon Number ◽  
Mass Spectrometric ◽  
Oil Refining ◽  
Crude Oils ◽  
Spectrometric Analysis ◽  
Ft Icr Ms ◽  
Ft Icr

Different ionization techniques based on different principles have been applied for the direct mass spectrometric (MS) analysis of crude oils providing composition profiles. Such profiles have been used to infer a number of crude oil properties. We have tested the ability of two major atmospheric pressure ionization techniques, electrospray ionization (ESI(±)) and atmospheric pressure photoionization (APPI(+)), in conjunction with Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS). The ultrahigh resolution and accuracy measurements of FT-ICR MS allow for the correlation of mass spectrometric (MS) data with crude oil American Petroleum Institute (API) gravities, which is a major quality parameter used to guide crude oil refining, and represents a value of the density of a crude oil. The double bond equivalent (DBE) distribution as a function of the classes of constituents, as well as the carbon numbers as measured by the carbon number distributions, were examined to correlate the API gravities of heavy, medium, and light crude oils with molecular FT-ICR MS data. An aromaticity tendency was found to directly correlate the FT-ICR MS data with API gravities, regardless of the ionization technique used. This means that an analysis on the molecular level can explain the differences between a heavy and a light crude oil on the basis of the aromaticity of the compounds in different classes. This tendency of FT-ICR MS with all three techniques, namely, ESI(+), ESI(−), and APPI(+), indicates that the molecular composition of the constituents of crude oils is directly associated with API gravity.

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