Group-type characterization of crude oil and bitumen. Part II: Efficient separation and quantification of normal-paraffins iso-paraffins and naphthenes (PIN)

Bissada, K. K.; Tan, Jingqiang; Szymezyk, Ewa; Darnell, Mike; Mei, Mei

doi:10.1016/j.fuel.2016.01.056

Cited by 26 publications

(10 citation statements)

References 15 publications

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“…The SARA analysis is conducted based on the standard test method for separation of asphalt into four fractions, which was created by the American Society for Testing and Materials (ASTM) (D-4124-97-ASTM;Fan 2003;Fan et al 2002;Jha et al 2014;Theyab et al 2017). The main aim of the SARA analysis is to differentiate between and quantify the four main components of crude oil (Bissada et al 2016). Figure 5 provides a flowchart of the SARA analysis procedure to differentiate between the different components of crude oil.…”

Section: Sara Analysismentioning

confidence: 99%

Critical review of asphaltene properties and factors impacting its stability in crude oil

Fakher

Ahdaya

Elturki

et al. 2019

J Petrol Explor Prod Technol

181

111

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Asphaltene is a component of crude oil that has been reported to cause severe problems during production and transportation of the oil from the reservoir. It is a solid component of the oil that has different structures and molecular makeup which makes it one of the most complex components of the oil. This research provides a detailed review of asphaltene properties, characteristics, and previous studies to construct a guideline to asphaltene and its impact on oil recovery. The research begins with an explanation of the main components of crude oil and their relation to asphaltene. The method by which asphaltene is quantified in the crude oil is then explained. Due to its different structures, asphaltene has been modeled using different models all of which are then discussed. All chemical analysis methods that have been used to characterize and study asphaltene are then mentioned and the most commonly used method is shown. Asphaltene will pass through several phases in the reservoir beginning from its stability phase up to its deposition in the pores, wellbore, and facilities. All these phases are explained, and the reason they may occur is mentioned. Following this, the methods by which asphaltene can damage oil recovery are presented. Asphaltene rheology and flow mechanism in the reservoir are then explained in detail including asphaltene onset pressure determination and significance and the use of micro-and nanofluidics to model asphaltene. Finally, the mathematical models, previous laboratory, and oilfield studies conducted to evaluate asphaltene are discussed. This research will help increase the understanding of asphaltene and provide a guideline to properly study and model asphaltene in future studies.

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Section: Sara Analysismentioning

confidence: 99%

Critical review of asphaltene properties and factors impacting its stability in crude oil

Fakher

Ahdaya

Elturki

et al. 2019

J Petrol Explor Prod Technol

181

111

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“…This is another positive outcome that shows that the adsorbents application in this work were able to remove polar compounds without affecting the saturated fraction since the saturated hydrocarbons are the most important and most valuable fraction for the petroleum industry. These compounds can also provide parameters that indicate the thermal maturation and hydrocarbon potential of source rock and can contain critical biomarkers that have been used to determine the origins and formation of petroleum fluids (Marzi et al 1993, Bissada et al 2016. From this fraction, several derivatives consumed worldwide are obtained.…”

Section: Geochemical Analysesmentioning

confidence: 99%

Assessing raw materials as potential adsorbents to remove acidic compounds from Brazilian crude oils by ESI (-) FT-ICR MS

Abib

Martins

Araujo

et al. 2020

An. Acad. Bras. Ciênc.

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The presence of acidic compounds as naphthenic acids in crude oil causes several problems for the petroleum industry, including corrosion in both upstream and downstream production processes. Based on this scenario, the main objective of this work was to investigate the removal of the acidic compound from two Brazilian heavy oils by adsorption processes using six potential adsorbents: powdered shale, activated carbon, bentonite, silica gel, powdered sandstone and powdered wood. These raw materials were previously characterized by conventional and surface analysis techniques, which show that they offer a good surface area and thermal stability. To evaluate the removal efficiency at the molecular level, the crude oil samples and the filtered oils were analyzed by negative electrospray ionization Fourier transform ion cyclotron resonance mass spectrometry [ESI (-) FTICR MS]. The O 2 class, which is related to the relatively high acidity of the samples, was the most abundant in both crude oil samples, moreover, this class was more retained by adsorbents. Silica gel, activated carbon and bentonite were the best adsorbents of acidic compounds from the tested oils, in agreement with their markedly higher surface area and porous volume. Additionally, a chromatographic analysis was performed and showed no changes in the oil profile.

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“…For this reason, a convenient laboratory method for finding it has been developed. The SARA method is based [11] on the separation of degassed oil (oil from which all gaseous components have escaped) into saturated hydrocarbons, aromatic compounds, resins and asphaltenes (saturates, aromatics, resins, asphaltenes -SARA) according to their solubility and polarity. The advantage of the SARA method is its simplicity and its applicability in many laboratories.…”

Section: Separation Of Crude Oil Into Saturated Hydrocarbons Aromatimentioning

confidence: 99%

Analysis of the Modern State of Researches on Deposition of Asphalt-Resin Substances, Paraffin and Modeling Methods Review Part I: Precipitation of Asphaltenes

Manafov¹,

Келбалиев²

2020

AChJ

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Asphaltenes are the heaviest crude oil fraction and tend to self-associate and precipitate. The precipitation and deposition of asphaltenes during the production, refining, transportation of oil is the main for the oil industry, the precipitation of asphaltenes and their subsequent deposition can cause problems at all stages of production. Asphaltenes have different structures and molecular composition, they are a mixture of poorly defined components, they are self-associated even at very low concentrations, what makes them one of the most difficult components of crude oil. Since the deposition mechanism of paraffin wax differs from the deposition mechanism of asphaltenes, mathematical modeling of crystallization of paraffin will be considered separately in another work. Creating accurate asphaltene models that can predict the behavior of asphaltenes in various scenarios should help reduce asphaltene problems. This review is specifically devoted to advances in mathematical modeling of asphaltenes. Several different models have been proposed in the literature for predicting the initial conditions and precipitation of asphaltenes. Existing modeling approaches can be broadly classified into colloidal and thermodynamic models. It should be noted intelligent models, such as a vector machine, an artificial neural network, in recent years are increasingly used for modeling various parameters and properties in the oil and chemical industries. However, these models are a black box and cannot provide a clear link between the output and input parameters of the model. In the past few years, models based on the Cubic Plus EoS Association (CPA EoS) and Statistical associating fluid theory (SAFT) have been recognized as promising one for studying asphaltene sediments. However, in the literature, there exist different opinions. Therefore, a systematic study is important for modeling the deposition of asphaltenes. Over the past decades, several different models have been proposed to predict the onset of asphaltenes and the amount of asphaltenes deposited. This paper examines various models that have been proposed to predict asphaltenes deposition under changing thermobaric conditions. A brief summary of various research approaches is presented.The main focus is on the description of the basic assumptions underlying various models, as well as on the ability of the model to correspond to experimental data. The presented models are compared and current modeling trends for forecasting precipitation are shown. This work will help improve understanding of asphaltenes and provide recommendations for the proper study and modeling of asphaltenes in future research.

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Group-type characterization of crude oil and bitumen. Part II: Efficient separation and quantification of normal-paraffins iso-paraffins and naphthenes (PIN)

Cited by 26 publications

References 15 publications

Critical review of asphaltene properties and factors impacting its stability in crude oil

Critical review of asphaltene properties and factors impacting its stability in crude oil

Assessing raw materials as potential adsorbents to remove acidic compounds from Brazilian crude oils by ESI (-) FT-ICR MS

Analysis of the Modern State of Researches on Deposition of Asphalt-Resin Substances, Paraffin and Modeling Methods Review Part I: Precipitation of Asphaltenes

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