Simulating oil flow in porous media under asphaltene deposition

Monteagudo, Jorge E.P.; Rajagopal, Krishnaswamy; Lage, Paulo L.C.

doi:10.1016/s0009-2509(01)00407-9

Cited by 32 publications

(19 citation statements)

References 44 publications

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“…Most models are capable of correlating the permeability reduction experimental data using adjustable parameters and include the flow continuity equation, a mass balance equation and a kinetic equation. Other models based on network modeling theory have also been developed to describe the deposition of asphaltene in reservoir rock [21,22]. In short, due to the complexity of asphaltene deposition on the rock surface, very few experimental results currently exist on asphaltene deposition under dynamic conditions using live reservoir fluid in porous media.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study and Mathematical Modeling of Asphaltene Deposition Mechanism in Core Samples

Behbahani

Ghotbi

Taghikhani

et al. 2013

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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and available online here Cet article fait partie du dossier thématique ci-dessous publié dans la revue OGST, Vol. 70, n°6, pp. 909-1132 et téléchargeable ici D o s s i e rOil & Gas Science and Technology -Rev. IFP Energies nouvelles, Vol. 70 (2015), No. 6, pp. 909-1132 Copyright © 2015, IFP Energies nouvelles > Editorial -Enhanced Oil Recovery (EOR), Asphaltenes and HydratesÉditorial -EOR «récupération assistée du pétrole», Asphaltènes et Hydrates D. Langevin and F. Baudin ENHANCED OIL RECOVERY (EOR) > HP-HT Drilling Mud Based on Environmently-Friendly Fluorinated ChemicalsBoues de forage HP/HT à base de composés fluorés respectueux de l'environnement Re´sume´-É tude expe´rimentale et mode´lisation mathe´matique du me´canisme de de´position d'asphalte`ne dans des carottes de forage -Les e´tudes expe´rimentales pre´sente´es dans ce document ont e´te´effectue´es afin de de´terminer les effets de la de´position d'asphalte`ne sur la re´duction de la perme´abilite´et de la porosite´d'e´chantillons rocheux de carbonate, de gre`s et de dolomite en utilisant un e´chantillon de pe´trole brut de fond de puits proche des conditions du re´servoir, tandis que dans la majorite´des travaux pre´ce´dents un me´lange d'huile recombine´e (me´lange de pe´trole de´gaze´et des gaz associe´s) est injecte´dans un e´chantillon de forage dans des conditions tre`s e´loigne´es de celles du re´servoir. Les effets du taux d'injection de pe´trole sur la de´position d'asphalte`ne et la re´duction de la perme´abilite´ont e´te´e´tudie´s. Les re´sultats expe´rimentaux montrent qu'une augmentation du de´bit d'injection de pe´trole peut causer une augmentation du de´poˆt d'asphalte`ne et une re´duction de la perme´abilite´. Il est aussi observeq ue, pour des de´bits d'injection plus faibles, une diminution monotone de la perme´abilite´des e´chantillons rocheux peut eˆtre obtenue en augmentant le de´bit d'injection, alors que pour des de´bits d'injection plus e´leve´s, apre`s une diminution de la perme´abilite´de la roche, une tendance a`l'augmentation est observe´e avant d'atteindre un e´tat stationnaire. Les re´sultats expe´rimentaux montrent aussi que le type de roche peut affecter la quantite´d'asphalte`ne de´pose´e, et que la de´position d'asphalte`ne est lie´e a`diffe´rents me´canismes dans les carottes de forage de gre`s et de carbonate. Il est mis en e´vidence que les me´canismes d'adsorption et de colmatage jouent un roˆle plus important dans les carottes de carbonate que dans ceux de gre`s. Ces re´sultats indiquent que les volumes de pore du pe´trole brut injecte´sont plus e´leve´s dans les e´chantillons de gre`s que dans ceux de carbonate. On peut ainsi en de´duire que trois types de de´poˆts peuvent avoir lieu durant l'injection de pe´trole brut : un de´poˆt continu pour les forages af aible perme´abilite´, un colmatage lent et progressif pour les forages a`haute perme´abilite´et un de´poˆt progressif pour les forages a`moyenne perme´abilite´. Les re´sultats expe´rimentaux indiquent ainsi qu'une augmentation de la pression de produc...

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Section: Introductionmentioning

confidence: 99%

Experimental Study and Mathematical Modeling of Asphaltene Deposition Mechanism in Core Samples

Behbahani

Ghotbi

Taghikhani

et al. 2013

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…Considering the two phases of asphaltene and oil, different equations including mass balance, momentum balance, and equations related to asphaltene deposition kinetics (Wang et al, 1999;Wang and Civan, 2001) are employed for modeling the asphaltene deposition in porous media of petroleum reservoirs (Monteagudo et al, 2002;Leontaritis, 2005). The mass balance equation for oil component that is assumed only in the liquid phase is explained as follows:…”

Section: Presented Modelmentioning

confidence: 99%

A new dynamic model for accurate prediction of asphaltene precipitation process in petroleum reservoirs

ZareNezhad

Sadi²,

Parsa

2016

Petroleum Science and Technology

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A novel dynamic model for accurate evaluation of the effects of different process variables on the asphaltene precipitation process in petroleum reservoirs is presented. Different deposition mechanisms such as surface deposition, pore throat plugging, deposits entrainment, and asphaltene adsorption are properly incorporated in the proposed multiphase model. The variations of porosity, permeability, and pressure profiles are in good agreement with the available experimental data. The presented approach can have potential application for evaluation of the asphaltene precipitation process in petroleum reservoirs at different operating conditions.

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“…The linear size of the network is defined by L net = N p × SP , where N p is the number of pores per side. The algorithm for the construction of this network model is given elsewhere (Monteagudo et al, 2002). Unlike the Matthews model, in the DSB model both the pores and throats follow independent normalized distribution functions: f p (D) and f t (D), respectively.…”

Section: Network Modelsmentioning

confidence: 99%

Cross-Properties Relations in 3D Percolation Networks: I. Network Characteristic Length Determination

Monteagudo

Lage

2005

Transp Porous Med

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This work developed efficient methods to determine the hydraulic characteristic length of percolation networks. The proposed methods are based on the determination of the percolation threshold using the Hoshen-Kopelman algorithm extended to 3D networks. The methods were tested with simple cubic site-bond network models with and without spatial correlations. It was shown that the proposed methods outperformed the algorithms based on the simulation of the porosimetry curve.

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Simulating oil flow in porous media under asphaltene deposition

Cited by 32 publications

References 44 publications

Experimental Study and Mathematical Modeling of Asphaltene Deposition Mechanism in Core Samples

Experimental Study and Mathematical Modeling of Asphaltene Deposition Mechanism in Core Samples

A new dynamic model for accurate prediction of asphaltene precipitation process in petroleum reservoirs

Cross-Properties Relations in 3D Percolation Networks: I. Network Characteristic Length Determination

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