Assessment of Asphaltene Stability in Crude Oils Using Conventional Techniques

Rogel, Estrella; León, O.; Contreras, E.; Carbognani, Lante; Torres, G.; Espidel, J.; Zambrano, Ángara

doi:10.1021/ef0301046

Cited by 36 publications

(45 citation statements)

References 36 publications

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“…For further verification of the reliability of new model (ANJIS), the model is applied on one more dataset of Rogel et al study (Rogel et al 2003). The SARA dataset with operational stability experience information of 16 crude oils belong to Rogel et al (2003) study is presented in Table 5.…”

Section: Development Of New Predictor (Anjis Asphaltene Stability Predicting Model)mentioning

confidence: 99%

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

Saboor

Yousaf

Haneef

et al. 2021

J Petrol Explor Prod Technol

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Asphaltene 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.

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Section: Development Of New Predictor (Anjis Asphaltene Stability Predicting Model)mentioning

confidence: 99%

“…SARA value of crude oils and their stability status reported byRogel et al (2003) Crude oil Sat (wt.%) Ar (wt.%) R (wt.%) As (wt.%) Operational experience…”

mentioning

confidence: 99%

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

Saboor

Yousaf

Haneef

et al. 2021

J Petrol Explor Prod Technol

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show abstract

“…1 suggest that VB product stabilities depend among other parameters on their asphaltenes contents. This proposed stability scale for asphaltenes has been presented before with asphaltenes from whole crude oils (26) . If the Pvalue results were recalculated in terms of the amount of alkane precipitant required for precipitation of a constant asphaltene mass, a scale of intrinsic stability for asphaltenes is presented.…”

Section: Generation Of Modified Heavy Molecules By Mild Thermal Crackmentioning

confidence: 99%

Visbreaking Based Integrated Process for Bitumen Upgrading and Hydrogen Production

Marriott¹,

González²,

Carbognani³

et al. 2006

Canadian International Petroleum Conference

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The large Alberta's heavy oil and bitumen reserves demand novel, cost effective upgrading schemes for distillates production and resids disposal. Vacuum resids (VR's 500ºC+) in average comprise 50 % (w/w) of these reserves. This study presents a new alternative for upgrading VR's by combining three processing steps: I. Production of modified almost instable heavy molecules by mild thermal cracking (Visbreaking, VB), II. Adsorption of modified heavy molecules over inexpensive, tailor-designed porous sorbents/catalysts, III Production of hydrogen via Low temperature Catalytic Steam Gasification (CSG) of the previously adsorbed molecules. Results will be presented on the combined processing as well as using both a model molecule and real feedstock (Athabasca VR) for the adsorption and hydrogen production steps.

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“… 1 The fourth way to judge asphaltene stability in crude oil is through asphaltene compositional and structural characteristics. Previous studies reported that the H/C ratio of asphaltene, 1 asphaltene solubility profile distribution, 51 , 53 asphaltene aromaticity and density, 52 polarity of asphaltene, 54 , 57 , 58 and electrical charges on asphaltenes 59 can provide information regarding the chance for asphaltene stability in crude oils. However, this method required the extracted asphaltene sample, which may lead to uncertainties in results due to asphaltene extraction methodology applied and the absence of the effect of other crude oil components such as resins, aromatics, and saturates.…”

Section: Introductionmentioning

confidence: 99%

Determination of Asphaltene Stability in Crude Oils Using a Deposit Level Test Coupled with a Spot Test: A Simple and Qualitative Approach

et al. 2022

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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. To achieve this goal, two experimental techniques which include a deposit level test and a spot test were integrated and applied simultaneously. The method was implemented using six crude oils, namely A, B, D, E, F, and G, and tests were performed at different times which split them into short duration tests and long duration tests. All crude oils were found to exhibit potential for asphaltene precipitation and subsequent deposition at different rates. Crude oils B, G, and D were observed to have started asphaltene precipitation and subsequent deposition relatively quicker. Similarly, crude oils B, A, and F exhibit a higher potential for producing asphaltene deposits in terms of deposition level. Crude oil E produces relatively fewer deposits at comparatively slower rates. The overall result indicates that crude oil B was found to be the most risky crude oil as it produces a higher quantity of deposits at higher rates, while crude oil E proved to be the least risky. Sensitivity analysis was also performed via the computing relevancy factor to determine the relative importance of two input parameters, namely the specific gravity of crude oil and the time for two-output precipitation intensity and deposition level. Precipitation intensities were found by the implementation of an image-processing tool on spot test results. The relationship between time and precipitation intensity was found to be negligible; however, the correlation between time and deposition level was found to be strongly positive with a relevancy factor value of approximately 0.521. Similarly, the relationship of the specific gravity of oil with precipitation intensity and deposition level was found to be moderately negative and very close to each other, i.e., −0.228 and −0.247, respectively. The integration of the deposit level test with the spot test allows the continuous and simultaneously reliable monitoring of both asphaltene precipitation and deposition at different times without involving cost, complex instrumentation, or interpretation, irrespective of the type of oil. The method enables the successful determination of stability ranking of different crude oils both in terms of precipitation and deposition.

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Assessment of Asphaltene Stability in Crude Oils Using Conventional Techniques

Cited by 36 publications

References 36 publications

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

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

Visbreaking Based Integrated Process for Bitumen Upgrading and Hydrogen Production

Determination of Asphaltene Stability in Crude Oils Using a Deposit Level Test Coupled with a Spot Test: A Simple and Qualitative Approach

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