Abstract: A method of designing a cement slurry comprising retrieving, by a design process, a material inventory comprising a geographic cement and a set of design parameters. Determine, by a model within the design process, a design slurry composition based on at least one of the set of design parameters. Determine with a model using a machine learning process, a predicted thickening time by comparing the design slurry composition, the material inventory, and the set of design parameters to a plurality of datasets within a geographic database. Generate a slurry design in response to a set of validation results of a test sample exceeding the threshold value. Place the slurry design into a wellbore with a pumping operation.

Abstract: Cement compositions containing a hydraulic cement, a synthetic phyllosilicate (e.g. Laponite®), and silica flour. The cement compositions may optionally include other additives such as an expandable agent, a defoamer, and a fluid loss controller. Cement slurries and wellbore cements made therefrom are also specified. The inclusion of the synthetic phyllosilicate has enhanced the mechanical strength, improved the density homogeneity, as well as decreased the permeability of the wellbore cement, making it suitable for cementing oil and gas wells under high pressure and high temperature (HPHT) conditions.

Abstract: Cement compositions containing a hydraulic cement, a synthetic phyllosilicate (e.g. Laponite®), and silica flour. The cement compositions may optionally include other additives such as an expandable agent, a defoamer, and a fluid loss controller. Cement slurries and wellbore cements made therefrom are also specified. The inclusion of the synthetic phyllosilicate has enhanced the mechanical strength, improved the density homogeneity, as well as decreased the permeability of the wellbore cement, making it suitable for cementing oil and gas wells under high pressure and high temperature (HPHT) conditions.