Impact of Live Crude Oil Composition On Optimal Salinity of A Surfactant Formulation

Marlière, Claire; Creton, Benoît; Oukhemanou, Fanny; Wartenberg, Nicolas; Courtaud, Tiphaine; Féjean, C.; Betoulle, Stéphane; Defiolle, D.; Mougin, Pascal

doi:10.2118/179792-ms

Cited by 10 publications

(11 citation statements)

References 15 publications

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“…Very recently, Marliere et al have experimentally shown that the optimal salinity (and EACN by extension of Eq. 1) linearly decreases when increasing gas to oil ratio [23]. Thus, it appears promising to account for the volume fractions of gas and oil during any model development.…”

Section: Theoretical Sectionmentioning

confidence: 99%

“…In Equations (4)- (6), we assume that the dead crude oil can be represented by its EACN (EACNdo) determined experimentally as detailed in references [23,24]. The live crude oil EACN can be expressed as a function of EACNdo and gas EACN (EACNg) assuming a linear mixing rule based on volumetric fractions (Eq.…”

Section: Theoretical Sectionmentioning

confidence: 99%

“…With our apparatus we can separately study the impact of the amount of gas dissolved in the live oil, and the impact of the pressure with pressures up to 500 bar. More details about experimental procedure and apparatus are provided in previous works [23,24]. This experimental procedure has been applied to crude oils #01 to #13 and so obtained results are presented in Table 2.…”

Section: Validation On External Datasetmentioning

confidence: 99%

“…Clearly, our proposed approach performs better than the linear molar mixing rule. Very recently, Marliere et al reported for live crude oil #01 an experimental uncertainty of 0.2 EACN point on measurements of EACNlo [23]. It is interesting to mention that due to the followed methodology, this uncertainty is related to the K parameter of the Salager Equation (1), and thus to surfactant chemistry.…”

Section: Validation On External Datasetmentioning

confidence: 99%

“…1) for ionic surfactants while the opposite trend is observed in the case of nonionic surfactants [6,17]. Since the work early proposed by Nelson [18], various references reported that microemulsion phase behavior is only slightly influenced by the pressure as compared to temperature effect [12,[19][20][21][22][23], and that an increase of P may lead to a Winsor II ? III ?…”

Section: Introductionmentioning

confidence: 98%

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Equivalent Alkane Carbon Number of Live Crude Oil: A Predictive Model Based on Thermodynamics

Creton

Mougin

2016

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

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-We took advantage of recently published works and new experimental data to propose a model for the prediction of the Equivalent Alkane Carbon Number of live crude oil (EACNlo) for EOR processes. The model necessitates the a priori knowledge of reservoir pressure and temperature conditions as well as the initial gas to oil ratio. Additionally, some required volumetric properties for hydrocarbons were predicted using an equation of state. The model has been validated both on our own experimental data and data from the literature. These various case studies cover broad ranges of conditions in terms of API gravity index, gas to oil ratio, reservoir pressure and temperature, and composition of representative gas. The predicted EACNlo values reasonably agree with experimental EACN values, i.e. determined by comparison with salinity scans for a series of n-alkanes from nC 8 to nC 18 . The model has been used to generate high pressure high temperature data, showing competing effects of the gas to oil ratio, pressure and temperature. The proposed model allows to strongly narrow down the spectrum of possibilities in terms of EACNlo values, and thus a more rational use of equipments.Résumé -Développement d'un modèle pour prédire l'alcane équivalent d'une huile vive -En se basant sur de récents travaux de la littérature ainsi que sur de nouvelles données expérimentales, nous proposons un modèle permettant de prédire l'EACNlo (Equivalent Alkane Carbon Number of live crude oil) -alcane équivalent d'une huile vive (pétrole brut contenant des gaz dissous) -dans des contextes de recherche de tensioactifs pour des activités EOR. Pour mettre en oeuvre ce modèle, il faut s'assurer de la connaissance des conditions de pression et de température dans le réservoir et du rapport gaz sur huile. En outre, des propriétés volumétriques d'hydrocarbures nécessaires pour alimenter le modèle, sont estimées par l'utilisation d'équations d'état. La validation de notre modèle a été réalisée à partir de données expérimentales de la littérature et nos propres données obtenues pour des pétroles bruts. Ces différents cas d'études couvrent de larges gammes en termes de degrés API, de rapports gaz sur huile, de pressions et températures en condition de fond (réservoir) et de compositions pour le gaz représentatif. L'utilisation du modèle conduit à des valeurs d'EACNlo en accord avec les valeurs expérimentales, i.e. obtenues par comparaisons avec des analyses de salinités sur des séries d'alcanes linéaires de nC 8 à nC 18 . Le modèle a ensuite été utilisé pour générer des prédictions et ainsi étudier l'impact sur les prédictions des conditions de pressions et de températures et de la nature du gaz. Le modèle permet de restreindre la gamme de valeurs d'EACNlo et ainsi une meilleure utilisation des équipements expérimentaux.

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Section: Theoretical Sectionmentioning

confidence: 99%

Section: Theoretical Sectionmentioning

confidence: 99%

Section: Validation On External Datasetmentioning

confidence: 99%

Section: Validation On External Datasetmentioning

confidence: 99%