Methods and system to reduce imperceptible lab experiments
US-2017364607-A1 · Dec 21, 2017 · US
US11386247B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11386247-B2 |
| Application number | US-201916637238-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 5, 2019 |
| Priority date | Apr 5, 2019 |
| Publication date | Jul 12, 2022 |
| Grant date | Jul 12, 2022 |
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A method may include: providing a model of cement induction time; designing a cement composition, based at least partially, on the model of cement induction time; and preparing the cement composition.
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What is claimed is: 1. A method comprising: providing a model of cement induction time, wherein the model of cement induction time comprises a regression model of induction time data and physicochemical data; designing a proposed cement composition, based at least partially, on the model of cement induction time; preparing the proposed cement composition; modifying the proposed cement composition to produce a modified cement composition if a predicted induction time of the proposed cement composition does not meet or exceed a target induction time; calculating the predicted induction time of the modified cement composition using the model of cement induction time; comparing the predicted induction time of the modified cement composition to the target induction time; and preparing the modified cement composition if the predicted induction time of the modified cement composition meets or exceeds the target induction time. 2. The method of claim 1 wherein the regression model is a function of at least one of chemical composition, density, temperature, or pressure. 3. The method of claim 1 further comprising iteratively modifying the proposed cement composition until the predicted induction time of the modified cement composition meets or exceeds the target induction time. 4. The method of claim 3 wherein iteratively modifying the proposed cement composition comprises modifying a concentration of the water, a concentration of at least one cementitious component, or both. 5. The method of claim 1 wherein the model of cement induction time does not include a direct model of cementitious reactions. 6. The method of claim 1 wherein the physicochemical data comprises surface area, particle size, density, or combinations thereof. 7. The method of claim 1 wherein the physicochemical data comprises specific surface area. 8. The method of claim 1 wherein the model of cement induction time does not include a direct model of cementitious reactions. 9. The method of claim 1 wherein the physicochemical data comprises surface area, particle size, density, or combinations thereof. 10. A method comprising: providing a plurality of cementitious components; generating a design of a cement composition, wherein the cement composition comprises one or more cementitious components selected from the plurality of cementitious components; calculating a predicted model parameter using a model of induction time, wherein the model of induction time comprises a regression model of induction time data and physicochemical data; comparing the predicted model parameter of the cement composition to a design parameter, wherein the design parameter is at least one of induction time requirement, thickening time, and compressive strength time requirement; and preparing the cement composition if the predicted design parameter meets or exceeds the design parameter. 11. The method of claim 10 wherein the regression model is a function of at least one of chemical composition, density, temperature, or pressure. 12. The method of claim 10 wherein the design parameter comprises an induction time. 13. The method of claim 10 wherein the design parameter comprises a time to 345 kPa. 14. The method of claim 10 wherein the design parameter comprises a time to 70 bc. 15. The method of claim 10 further comprising pumping the cement composition into a wellbore. 16. A method comprising: generating a proposed cement slurry comprising two or more cementitious components; inputting physicochemical properties of the two or more cementitious components into a model of cement induction time, wherein the model comprises a regression model of induction time data and physicochemical data to output a predicted cement induction time at a downhole temperature and pressure; iteratively modifying the proposed cement slurry until the predicted cement induction an induction time requirement is met or exceeded; preparing the proposed cement slurry; measuring an induction time of the proposed cement slurry; and comparing the measured induction time of the proposed cement slurry to determine if the measured induction time meets or exceeds the induction time requirement. 17. The method of claim 16 wherein the regression model is a function of at least one of chemical composition, density, temperature, or pressure. 18. The method of claim 16 wherein the physicochemical data comprises specific surface area. 19. The method of claim 16 wherein the physicochemical data comprises surface area, particle size, density, or combinations thereof.
Computer models or simulations, e.g. for reservoirs under production, drill bits · CPC title
Numerical modelling · CPC title
for cementing casings into boreholes · CPC title
Controlling the process of mixing, e.g. adding ingredients in a quantity depending on a measured or desired value (B28C7/00 takes precedence) · CPC title
containing inorganic binders, e.g. Portland cement · CPC title
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