Effect of Nanofluid Treatment on Water Sensitive Formation to Investigate Water Shock Phenomenon, An Experimental Study

Habibi, Ali; Heidari, Mohammad; Al-Hadrami, Hamoud; Al-Ajmi, A.; Al-Wahaibi, Yahya; Ayatollahi, Shahab

doi:10.1080/01932691.2013.775586

Cited by 7 publications

(3 citation statements)

References 40 publications

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“…During early research studies and to date, a single fine particle of spherical shape on a sand grain flat surface (sphere–plate model) has been extensively used for the calculation of DLVO interactions because of the simplicity of the approach. ,,,,,− A few researchers have utilized a plate–plate model for the quantification of interaction energies. , The single sphere model can be accurately used for synthetic fines and glass bead configurations, but when it comes to natural kaolinite and sand grain configurations, it can provide erroneous results because natural kaolinite has a platelet structure and must be modeled with a kaolinite platelets–IT plate model. In some studies during the last few years, ,,− clustered fine particles’ detachment and combined movement were assumed instead of a single fine particle model.…”

Section: Fine–brine–rock Systemmentioning

confidence: 99%

Fine Migration Control in Sandstones: Surface Force Analysis and Application of DLVO Theory

2020

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Formation damage caused by fine migration and straining is a well-documented phenomenon in sandstone reservoirs. Fine migration and the associated permeability decline have been observed in various experimental studies, and this phenomenon has been broadly explained by the analysis of surface forces between fines and sand grains. The Derjaguin−Landau−Verwey−Overbeek (DLVO) theory is a useful tool to help understand and model the fine release, migration, and control phenomena within porous media by quantifying the total interaction energy of the fine−brine−rock (FBR) system. Fine migration is mainly caused by changes in the attractive and repulsive surface forces, which are triggered by mud invasion during drilling activity, the utilization of completion fluid, acidizing treatment, and water injection into the reservoir during secondary and tertiary recovery operations. Increasing pH and decreasing water salinity collectively affect the attractive and repulsive forces and, at a specific value of pH, and critical salt concentration (CSC), the total interaction energy of the FBR system (V T ) shifts from negative to positive, indicating the initiation of fine release. Maintaining the system pH, setting the salinity above the CSC, tuning the ionic composition of injected water, and using nanoparticles (NPs) are practical options to control fine migration. DLVO modeling elucidates the total interaction energy between fines and sand grains based on the calculation of surface forces of the system. In this context, zeta potential is an important indicator of an increase or decrease in repulsive forces. Using available data, two correlations have been developed to calculate the zeta potential for sandstone reservoirs in high-and low-salinity environments and validated with experimental values. Based on surface force analysis, the CSC is predicted by the DLVO model; it is in close agreement with the experimental value from the literature. The critical pH value is also estimated for alkaline flooding. Model results confirm that the application of NPs and the presence of divalent ions increase the attractive force and help to mitigate the fine migration problem. Hence, a new insight into the analysis of quantified surface forces is presented in current research work by the practical application of the DLVO theory to model fine migration initiation under the influence of injection water chemistry.

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Section: Fine–brine–rock Systemmentioning

confidence: 99%

Fine Migration Control in Sandstones: Surface Force Analysis and Application of DLVO Theory

2020

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“…In the recent years, application of nanoparticles (NPs) in different fields such as petroleum engineering, [1][2][3][4][5][6][7][8][9][10][11] environmental engineering, and wastewater treatment [12][13][14][15] and chemical engineering [16][17][18] has been considered by many researchers. NPs' applications became widespread as a result of their unprecedented physicochemical properties such as small size (1-100 nm), high specific surface area, very high adsorption potential, and heat conductivity.…”

Section: Introductionmentioning

confidence: 99%

Transport and Deposition of Alumina Nanoparticles in Water Saturated Porous Media: An Experimental Study

Davoudi

Salehpour

Habibi

2014

Journal of Dispersion Science and Technology

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Transport and deposition of nanoparticles (NPs) have drawn great attention in different fields of engineering in recent years because of their potential risk to the environment. In this study, mobility of aluminum oxide NP, one of the most popular metal oxide NPs, was studied in synthetic saturated porous media. The impacts of ionic strength using monovalent (NaCl) and divalent (MgCl 2 ) salt solution, pH, and NPs concentrations on nano-alumina mobility were investigated. The experimental results showed that the transport of nano-alumina was influenced by ionic strength; the highest mobility was observed at the 0.01 M solution and decreased by increasing ionic strength. Moreover, the suspension containing alumina NPs presented the best mobility behavior in the acidic solution (pH ¼ 2) in comparison with neutral and basic solutions. Consequently, transport of NPs with particle size distribution lower than 100 nm through porous media was facilitated at the acidic, low ionic strength condition. In addition, faster elution occurred when the influent concentration was increased from 0.1 wt% to 0.3 wt%. Finally, it is expected that ionic strength, pH of solution, and NPs concentration will be key parameters to control the nano-alumina mobility.

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“…During the past ten years, nanotechnology has paved its way as a novel technique that can contribute to more efficient, less expensive, and more environmentally friendly technologies through different industries including oil and gas industries [39,43]. For example, Hascakir et al [10] added three different iron powders including iron (Fe), ferric oxide (Fe 2 O 3 ), and ferric chloride (FeCl 3 ) into the heavy crude oil.…”

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confidence: 99%

Copper oxide nano-fluid stabilized by ionic liquid for enhancing thermal conductivity of reservoir formation: Applicable for thermal Enhanced Oil Recovery processes

Barahoei

Hezave

Sabbaghi

et al. 2016

CI&CEQ

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Since the oil reservoirs are limited and energy demand is increasing, seeking for high efficient EOR processes or enhancing the efficiency of current proposed EOR methods for producing trapped oil from reservoirs are highly investigated. As a way out, it is possible to couple the EOR and nanotechnology to utilize the efficiency of both methods together. Regarding this possibility, in the current study, in the first stage of investigation stable and uniform water-based solution of nano size particles of copper oxide with different concentrations (0.01-0.05 M) were prepared and then injected into the core samples. In the first stage, the effects of different surfactants respect to their concentrations was investigated. Then, different scenarios of using nano-fluid as a thermal conductivity modifier were examined. The obtained results clearly demonstrate that changing concentration of nano particles of copper oxide from 0.01 M to 0.05 M is able to enhance the thermal conductivity of rocks from 27 % to 48 % compared with the thermal conductivity of dry core.

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Effect of Nanofluid Treatment on Water Sensitive Formation to Investigate Water Shock Phenomenon, An Experimental Study

Cited by 7 publications

References 40 publications

Fine Migration Control in Sandstones: Surface Force Analysis and Application of DLVO Theory

Fine Migration Control in Sandstones: Surface Force Analysis and Application of DLVO Theory

Transport and Deposition of Alumina Nanoparticles in Water Saturated Porous Media: An Experimental Study

Copper oxide nano-fluid stabilized by ionic liquid for enhancing thermal conductivity of reservoir formation: Applicable for thermal Enhanced Oil Recovery processes

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