Mechanistic Study of the Wettability Modification in Carbonate and Sandstone Reservoirs during Water/Low Salinity Water Flooding

Jalili, Zohreh; Tabrizy, Vahid Alipour

doi:10.5539/eer.v4n3p78

Cited by 14 publications

(8 citation statements)

References 37 publications

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“…Yet, the exact mechanism of how these four PDIs affect the wettability of calcite remains controversial. 1,2,11,12,[16][17][18] Investigating how Ca 2+ , CO 3…”

Section: -mentioning

confidence: 99%

Surface complexation modeling of calcite zeta potential measurements in brines with mixed potential determining ions (Ca2+, CO32−, Mg2+, SO42−) for characterizing carbonate wettability

Song

Zeng

Wang

et al. 2017

Journal of Colloid and Interface Science

129

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This study presents experiment and surface complexation modeling (SCM) of synthetic calcite zeta potential in brine with mixed potential determining ions (PDI) under various CO partial pressures. Such SCM, based on systematic zeta potential measurement in mixed brines (Mg, SO, Ca and CO), is currently not available in the literature and is expected to facilitate understanding of the role of electrostatic forces in calcite wettability alteration. We first use a double layer SCM to model experimental zeta potential measurements and then systematically analyze the contribution of charged surface species. Calcite surface charge is investigated as a function of four PDIs and CO partial pressure. We show that our model can accurately predict calcite zeta potential in brine containing a combination of four PDIs and apply it to predict zeta potential in ultra-low and pressurized CO environments for potential application in enhanced oil recovery in carbonate reservoirs. Model prediction reveals that calcite surface will be positively charged in all considered brines in pressurized CO environment (>1atm). The calcite zeta potential is sensitive to CO partial pressure in the various brine in the order of NaCO>NaSO>NaCl>MgCl>CaCl (Ionic strength=0.1M).

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“…Yet, the exact mechanism of how these four PDIs affect the wettability of calcite remains controversial. 1,2,11,12,[16][17][18] Investigating how Ca 2+ , CO 3…”

Section: -mentioning

confidence: 99%

Surface complexation modeling of calcite zeta potential measurements in brines with mixed potential determining ions (Ca2+, CO32−, Mg2+, SO42−) for characterizing carbonate wettability

Song

Zeng

Wang

et al. 2017

Journal of Colloid and Interface Science

129

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“…Numerous experimental studies have indicated unexpected capabilities of LSW for improving oil recovery in comparison with conventional flooding of untreated, high-salinity formation water (FW) (Aghaeifar et al 2015;Morrow and Buckley 2011;Morrow et al 1998;Rivet et al 2010;Tang and Morrow 1997, 1999b, c, 2002. Currently, researchers have unanimously regarded wettability alteration as the main reason for applying LSW to bring about additional oil recovery (Jalili and Tabrizy 2014;Kafili Kasmaei and Rao 2015;Mahani et al 2015;Shabib-Asl et al 2014;Shaddel et al 2014;Yang et al 2015). In this respect, various mechanisms have been proposed to explain the low-salinity effect (LSE) as follows: (1) osmotic pressure (Buckley and Morrow 2010), (2) IFT reduction in response to an increase in reservoir fluid pH (McGuire et al 2005), (3) multicomponent ion exchange (MIE) (Lager et al 2008), (4) double-layer expansion (Ligthelm et al 2009), (5) dissolution of heavy oil components by the salting in effect (Rezaei-Doust et al 2009), (6) saponification (McGuire et al 2005) and (7) elasticity of water films lying on pore walls (Buckley and Morrow 2010).…”

Section: Introductionmentioning

confidence: 99%

How much would silica nanoparticles enhance the performance of low-salinity water flooding?

Dehaghani

Daneshfar

2019

Pet. Sci.

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Nanofluids and low-salinity water (LSW) flooding are two novel techniques for enhanced oil recovery. Despite some efforts on investigating benefits of each method, the pros and cons of their combined application need to be evaluated. This work sheds light on performance of LSW augmented with nanoparticles through examining wettability alteration and the amount of incremental oil recovery during the displacement process. To this end, nanofluids were prepared by dispersing silica nanoparticles (0.1 wt%, 0.25 wt%, 0.5 wt% and 0.75 wt%) in 2, 10, 20 and 100 times diluted samples of Persian Gulf seawater. Contact angle measurements revealed a crucial role of temperature, where no wettability alteration occurred up to 80 °C. Also, an optimum wettability state (with contact angle 22°) was detected with a 20 times diluted sample of seawater augmented with 0.25 wt% silica nanoparticles. Also, extreme dilution (herein 100 times) will be of no significance. Throughout micromodel flooding, it was found that in an oil-wet condition, a combination of silica nanoparticles dispersed in 20 times diluted brine had the highest displacement efficiency compared to silica nanofluids prepared with deionized water. Finally, by comparing oil recoveries in both water-and oil-wet micromodels, it was concluded that nanoparticles could enhance applicability of LSW via strengthening wettability alteration toward a favorable state and improving the sweep efficiency.

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“…The efficiency of Mg 2+ ion in injected or imbibed advanced water to improve chalk water wetness has been confirmed by many researchers. Jalili and Tabrizy used disjoining pressure calculations to show that increasing the Mg 2+ ion concentration in injected brine increased the hydrophilic nature of calcite. Karoussi et al imbibed Stevns Klint chalk with ion free water and water containing just Mg 2+ or SO 4 2– .…”

Section: Discussionmentioning

confidence: 99%

Study of Ionically Modified Water Performance in the Carbonate Reservoir System by Multivariate Data Analysis

et al. 2017

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Adjustment of the ionic composition and strength of injected or imbibed brine for enhanced oil recovery (EOR) in carbonate reservoirs has been an area of active research for the past two decades. Despite many successful laboratory and field applications, the method has been reported ineffective in other cases. Most of the published results attributed EOR to improved water wetness in initially oil-wet carbonates. Nevertheless, in a few studies, EOR was observed without apparent wettability alteration. We undertake the analysis of a large set of published recovery experiments to try to identify the critical mechanisms at the pore scale. Better pore scale physicochemical understanding will guide the formulation of accurate reservoir-scale models. This paper presents a comprehensive meta-analysis of the proposed mechanisms using multivariate data analysis. Detailed review of the subject, including mechanisms with supporting and contradictory evidence, has been presented by Sohal et al. In this study, the significance of each contributing factor to EOR was quantified and subjected to rigorous multivariate statistical analysis. The analysis was limited because there is no uniform methodology or sampling protocol. We confined our analyses to experiments with sufficient data so as many potential contributing factors as possible could be evaluated. We were able to identify the most important factors that control increased recovery in chalk and limestone experiments. We also found the most critical measurements to provide the best basis for interpretation of the experiments that guide future recovery experiments and provide better results.

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Mechanistic Study of the Wettability Modification in Carbonate and Sandstone Reservoirs during Water/Low Salinity Water Flooding

Cited by 14 publications

References 37 publications

Surface complexation modeling of calcite zeta potential measurements in brines with mixed potential determining ions (Ca2+, CO32−, Mg2+, SO42−) for characterizing carbonate wettability

Surface complexation modeling of calcite zeta potential measurements in brines with mixed potential determining ions (Ca2+, CO32−, Mg2+, SO42−) for characterizing carbonate wettability

How much would silica nanoparticles enhance the performance of low-salinity water flooding?

Study of Ionically Modified Water Performance in the Carbonate Reservoir System by Multivariate Data Analysis

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