Fully implicit compositional simulator for modeling of asphaltene deposition during natural depletion

Fallahnejad, Gholamreza; Kharrat, Riyaz

doi:10.1016/j.fluid.2015.03.045

Cited by 10 publications

(2 citation statements)

References 23 publications

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“…Thermodynamic prediction models of asphaltene deposition mentioned in various sources and papers can be classified into six groups . These models are solubility models, colloidal models, micellization models, , solid models, Cubic-Plus-Association (CPA) model, and perturbed chain statistical associating fluid theory (PC-SAFT) model. − In this research, the PC-SAFT state equation is used to simulate the phase behavior of asphaltene.…”

Section: Introductionmentioning

confidence: 99%

Development of a Computational Fluid Dynamics Compositional Wellbore Simulator for Modeling of Asphaltene Deposition

et al. 2021

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The asphaltene problem is a two-step process: (1) asphaltene precipitation, as predicted by the thermodynamic model, and(2) asphaltene deposition, the amount of which is estimated by the kinetic model. Asphaltene precipitation is a prerequisite but not a sufficient condition for deposition. Deposition is dependent on other factors such as surface properties, phase behavior, rheology, and flow patterns. As a result, in addition to understanding thermodynamic and kinetic models, it is critical to also understand flow models. In fact, multiphase flow modeling is at the core of simulation, and it must be coupled with thermodynamic and kinetic models. Numerous studies on modeling asphaltene deposition on pipe walls have been performed theoretically and experimentally, but a comprehensive theory to properly understand this phenomenon has not yet been presented. In thermodynamic modeling, the perturbed chain statistical associating fluid theory (PC-SAFT) equation of state is used to predict the asphaltene phase behavior. In this study, we show that the proposed PC-SAFT model is more accurate than the solid model used in commercial software. Unlike prior research that neglected flow patterns or used empirical relations to model multiphase flow, this study simulates multiphase flow using separate momentum equations for each phase. Among the existing kinetic models, the Kurup model has been used to predict the asphaltene deposition profile in the wellbore due to its greater compatibility for computational fluid dynamics application. The results of the proposed model show good agreement with field case data of asphaltene deposition thicknesses along the wellbore tubing.

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Section: Introductionmentioning

confidence: 99%

Development of a Computational Fluid Dynamics Compositional Wellbore Simulator for Modeling of Asphaltene Deposition

et al. 2021

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“…For this reason, the predictive capabilities of PC-SAFT EOS models are somewhat limited and are not studied in this work. It is important to say that the performance of the solid–liquid equilibrium model to describe asphaltene precipitation, which is also used in asphaltene deposition studies, is widely reported in the literature. − …”

Section: Introductionmentioning

confidence: 99%

High-Pressure Modeling of Asphaltene Precipitation during Oil Depletion Based on the Solid Model

et al. 2017

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Asphaltene precipitation is a complex and serious problem in all sectors of the oil industry because it has a severe and detrimental impact on oil production. Thus, it is crucial to investigate under which conditions asphaltenes precipitate in order to prevent or mitigate the effects. Several approaches have been reported in the literature regarding the modeling of asphaltene precipitation during oil production. The simplest one is the single-component solid model in which the precipitated asphaltene is considered a pure solid and the oil and gas phases are described by a cubic equation of state (EOS). These are the basic assumptions of the Nghiem and Coombe’s model. In this paper, based on this model, we make numerous improvements and simplifications such as reducing the number of parameters to be estimated and considering that the number of asphaltene fractions can vary according to the oil characteristics. The characterization method is performed using the exponential distribution and only the binary interaction parameter is fitted to the experimental oil saturation pressure data. The reference pressure is calculated according to de Boer’s method instead of only extrapolating precipitation depletion experimental data. Furthermore, the solid molar volume is predicted using two correlations from literature, expressed as a function of the molecular weight of the asphaltene. The developed model is capable of calculating the amount of precipitated asphaltene as a function of pressure. Our results indicate that the proposed approach is quite accurate even having a smaller number of parameters to be estimated compared to the original model.

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Comparison and evaluation of several models in prediction of asphaltene deposition profile along an oil well: a case study

Kor

Kharrat

Ayoubi

2016

J Petrol Explor Prod Technol

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Deposition of asphaltenes on the inner surface of oil wells and pipelines causes flow blockage or significant production loss in these conduits. Generally, asphaltenes are stable in reservoir condition; however, change in pressure, temperature, and composition can trigger phase separation and then deposition of asphaltene along the flow stream. Therefore, it is required to identify the possibility of asphaltene precipitation and accurately quantify deposition tendency of these heavy organic molecules. This work is aimed at detailed assessment of the predictive capability of five deposition models available in the literature for calculating the magnitude and profile of asphaltene deposition in wellbores. To end this, firstly we discuss and describe these five models known as Friedlander and

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Fully implicit compositional simulator for modeling of asphaltene deposition during natural depletion

Cited by 10 publications

References 23 publications

Development of a Computational Fluid Dynamics Compositional Wellbore Simulator for Modeling of Asphaltene Deposition

Development of a Computational Fluid Dynamics Compositional Wellbore Simulator for Modeling of Asphaltene Deposition

High-Pressure Modeling of Asphaltene Precipitation during Oil Depletion Based on the Solid Model

Comparison and evaluation of several models in prediction of asphaltene deposition profile along an oil well: a case study

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