Evidence of Multi-Component Ion Exchange in Dolomite Formation during Low Salinity Waterflooding

Srisuriyachai, Falan; Meekangwal, Suthida

doi:10.1088/1755-1315/95/3/032037

Cited by 12 publications

(7 citation statements)

References 5 publications

(5 reference statements)

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“…Hence, generally, dolomite is negatively charged; however, its interactions with the reservoir brine result in an oil wetting-causing mechanism owing to mineral dissolution, adsorption, and compression of the double layer. But interestingly, Srisuriyachai and Meekangwal report that the presence of divalent cations leads to the formation of calcium and magnesium carboxylate complexes, which improve oil recovery. This can be attributed to the consumption of the cations by the carboxylate groups, thus keeping the reservoir predominantly water wet and preventing cation bridging.…”

Section: Resultsmentioning

confidence: 99%

Surface Charge Investigation of Reservoir Rock Minerals

et al. 2021

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The reservoir rock is made up of different minerals and its surface chemistry is influenced by the reservoir environment. Well operations implemented during the life of a field induce changes in the reservoir environment (pH) that affect the minerals, resulting in a change of their surface chemistry. These changes result in wettability alterations, which have a significant effect on the overall production. Thus, this research provides insight into the behavior of calcite, feldspar, barite, dolomite, quartz, and sand in varying pH environments to ascertain the effect of pH change on mineral surface charge. This study employed ζ-potential measurements as a measure of the wettability alteration. The findings reveal that these rock minerals have their charge development controlled by mineral dissolution, ionic specie adsorption, and double-layer compression. Furthermore, the rock contacting mineral is critical in the wettability alteration, and an understanding of the effect of well operations on rock surface chemistry is critical.

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Section: Resultsmentioning

confidence: 99%

Surface Charge Investigation of Reservoir Rock Minerals

et al. 2021

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“…It is a result of the increased ionic strength of brine in the presence of Ca 2+ and Mg 2+ ions because of their di-valency. It is also believed that the affinity of calcium and magnesium ions to the negatively charged surfaces is higher than that of Na + due to their smaller sizes in comparison to Na + [57]. Moreover, they result in a higher potential drop due to their smaller sizes leading to the higher ability to screen surface charge [29].…”

Section: Discussion Of Model Validationmentioning

confidence: 99%

Triple-layer surface complexation modelling: Characterization of oil-brine interfacial zeta potential under varying conditions of temperature, pH, oil properties and potential determining ions

Saeed

Jadhawar

Zhou

et al. 2022

Colloids and Surfaces A: Physicochemical and Engineering Aspect

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“…A survey of the literature shows that based on the type of crude oil and the properties of the reservoir and injection/formation brines, several mechanisms are proposed to explain the performance of LSW flooding. Multicomponent ionic exchange (MIE) [3][4][5], reduction in interfacial tension [6,7], expansion of the electric double layer [8][9][10][11][12], and rock dissolution [13][14][15][16][17], micro-dispersion formation [18,19] are the main mechanisms suggested by researchers to explain the incremental oil recovery by LSW in carbonates.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Analyses of Low Salinity Waterflooding in Carbonates

2021

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Low salinity water (LSW) injection is a promising Enhanced Oil Recovery (EOR) technique that has the potential to improve oil recovery and has been studied by many researchers. LSW flooding in carbonates has been widely evaluated by coreflooding tests in prior studies. A closer look at the literature on LSW in carbonates indicates a number of gaps and shortcomings. It is difficult to understand the exact relationship between different controlling parameters and the LSW effect in carbonates. The active mechanisms involved in oil recovery improvement are still uncertain and more analyses are required. To predict LSW performance and study the mechanisms of oil displacement, data collected from available experimental studies on LSW injection in carbonates were analyzed using data analysis approaches. We used linear regression to study the linear relationships between single parameters and the incremental recovery factor (RF). Correlations between rock, oil, and brine properties and tertiary RF were weak and negligible. Subsequently, we analyzed the effect of oil/brine parameters on LSW performance using multivariable linear regression. Relatively strong linear correlations were found for a combination of oil/brine parameters and RF. We also studied the nonlinear relationships between parameters by applying machine learning (ML) nonlinear models, such as artificial neural network (ANN), support vector machine (SVM), and decision tree (DT). These models showed better data fitting results compared to linear regression. Among the applied ML models, DT provided the best correlation for oil/brine parameters, as ANN and SVM overfitted the testing data. Finally, different mechanisms involved in the LSW effect were analyzed based on the changes in the effluent PDIs concentration, interfacial tension, pH, zeta potential, and pressure drop.

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Evidence of Multi-Component Ion Exchange in Dolomite Formation during Low Salinity Waterflooding

Cited by 12 publications

References 5 publications

Surface Charge Investigation of Reservoir Rock Minerals

Surface Charge Investigation of Reservoir Rock Minerals

Triple-layer surface complexation modelling: Characterization of oil-brine interfacial zeta potential under varying conditions of temperature, pH, oil properties and potential determining ions

Data-Driven Analyses of Low Salinity Waterflooding in Carbonates

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