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Magnetic Field Strength and Temperature Effects on the Behavior of Oil Well Cement Slurry Modified with Iron Oxide Nanoparticles and Quantified with Vipulanandan Models
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Abstract
The focus of this study was to investigate the methods that could potentially be easy to adopt in field to modify cement slurry rheological properties in situ during the installation of oil and gas wells. In this study, we investigated the effects of magnetic field strengths and temperatures on the rheological properties of an oil well cement (Class H) modified with iron oxide nanoparticles (NanoFe2O3). Also, the sensitivity of using electrical resistivity in monitoring changes in the cement slurry was also investigated. The water-to-cement ratio used in this study was 0.38, since it is a popular ratio used in oil well cementing. The NanoFe2O3 contents (average particle size of 30 nm) in the cement slurry were varied up to 1 % by the weight of cement. The temperature was varied from 25°C to 85°C. The magnetic field strength was varied up to 0.6 T. The initial electrical resistivity of the cement slurry modified with NanoFe2O3 decreased by 6 % to 52 % based on the NanoFe2O3 content, temperature, and magnetic field strength. The shear thinning behavior of the cement slurry with and without NanoFe2O3 has been quantified using the Vipulanandan rheological model and compared to the Herschel-Bulkley model. The results show that the Vipulanandan rheological model predicted the shear thinning relationship between the shear stress and shear strain rate of the NanoFe2O3-modified cement slurry very well with the maximum shear stress tolerance. The rheological properties of the cement slurry modified with NanoFe2O3 under different magnetic field strengths have been correlated to the electrical resistivity of the cement slurry using a nonlinear resistivity and Vipulanandan property correlation models. Thus, the performance of the cement slurry with and without NanoFe2O3 can be characterized based on the electrical resistivity, which can be used as a real-time monitoring tool in the field.
Title: Magnetic Field Strength and Temperature Effects on the Behavior of Oil Well Cement Slurry Modified with Iron Oxide Nanoparticles and Quantified with Vipulanandan Models
Description:
Abstract
The focus of this study was to investigate the methods that could potentially be easy to adopt in field to modify cement slurry rheological properties in situ during the installation of oil and gas wells.
In this study, we investigated the effects of magnetic field strengths and temperatures on the rheological properties of an oil well cement (Class H) modified with iron oxide nanoparticles (NanoFe2O3).
Also, the sensitivity of using electrical resistivity in monitoring changes in the cement slurry was also investigated.
The water-to-cement ratio used in this study was 0.
38, since it is a popular ratio used in oil well cementing.
The NanoFe2O3 contents (average particle size of 30 nm) in the cement slurry were varied up to 1 % by the weight of cement.
The temperature was varied from 25°C to 85°C.
The magnetic field strength was varied up to 0.
6 T.
The initial electrical resistivity of the cement slurry modified with NanoFe2O3 decreased by 6 % to 52 % based on the NanoFe2O3 content, temperature, and magnetic field strength.
The shear thinning behavior of the cement slurry with and without NanoFe2O3 has been quantified using the Vipulanandan rheological model and compared to the Herschel-Bulkley model.
The results show that the Vipulanandan rheological model predicted the shear thinning relationship between the shear stress and shear strain rate of the NanoFe2O3-modified cement slurry very well with the maximum shear stress tolerance.
The rheological properties of the cement slurry modified with NanoFe2O3 under different magnetic field strengths have been correlated to the electrical resistivity of the cement slurry using a nonlinear resistivity and Vipulanandan property correlation models.
Thus, the performance of the cement slurry with and without NanoFe2O3 can be characterized based on the electrical resistivity, which can be used as a real-time monitoring tool in the field.
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