Cement Slurry Thickening Time Prediction Model
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Solution Overview
Problem
The challenge in well cementing is determining a satisfactory thickening time for cement slurries within a reasonable time frame, which is often approached through a trial-and-error process with varying additives, and is complicated by regional variations in cement components.
Innovation Solution
A thickening time model is developed that accounts for pressure, temperature, density, and chemical composition of cement slurries, incorporating components that model the effects of water and cement additives, allowing for the calculation of optimal cement slurry composition and thickening time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial-and-error testing of cement slurries with varying additives is used, then satisfactory thickening time can be achieved, but the process becomes time-consuming and complex
Solution Approach 1:
The patent applies preliminary action by developing and using a thickening time model that predicts the thickening time of cement slurries before actual testing. The model incorporates multiple variables including temperature, pressure, density, and chemical composition, allowing engineers to pre-calculate optimal slurry properties without conducting extensive trial-and-error tests in the field.
Solution Approach 2:
The patent replaces the mechanical trial-and-error testing process with a computational model. Instead of physically testing multiple slurry formulations empirically, the system uses mathematical equations and algorithms to predict thickening time, substituting physical experimentation with computational analysis to achieve the same reliability faster.
2Measurement precision
If regional variations in cement components are accounted for, then accurate thickening time prediction is achieved, but the selection process becomes more complex
Solution Approach 1:
The patent applies parameter changes by adjusting the model inputs to reflect regional variations in cement components. The thickening time model incorporates variables such as temperature, pressure, density, and specific chemical compositions that differ by region. By changing these parameters according to local conditions, the model maintains high prediction accuracy across different geographic locations without requiring separate models for each region.
Solution Approach 2:
The patent creates a universal thickening time model that can be applied across multiple regions and conditions. The model is designed to handle various cement compositions, temperatures, and pressures within a single framework, making it multi-functional and adaptable to different regional variations without requiring region-specific separate models.
3Reliability
If multiple cement components are combined to achieve desired properties, then slurry performance is improved, but the formulation becomes more complex
Solution Approach 1:
The patent uses parameter changes to optimize slurry formulation by adjusting the concentrations and types of cement components, additives, and other variables. The model allows systematic variation of parameters such as water-cement ratio, additive concentrations, and component compositions to achieve desired thickening time and performance characteristics while managing formulation complexity through structured optimization.
Solution Approach 2:
The patent incorporates feedback mechanisms where the predicted thickening time from the model is compared against target values, and the formulation is iteratively adjusted based on this feedback. This systematic approach allows complex multi-component formulations to be optimized efficiently by using the model predictions to guide component selection and concentration adjustments.
Data Source
AI summary
A method of designing a cement slurry may include: (a) selecting at least a cement and concentration thereof, water and concentration thereof, and, optionally, at least one supplementary cementitious material and a concentration thereof, such that a cement slurry comprising the cement, the water, and, if present, the at least one supplementary cementitious material, meet a density requirement; (b) calculating a thickening time of the cement slurry using a thickening time model; (c) comparing the thickening time of the cement slurry to a thickening time requirement, wherein steps (a)-(c) are repeated if the thickening time of the cement slurry does not meet or exceed the thickening time requirement, wherein the selecting comprises selecting different concentrations and/or different chemical identities for the cement and/or the supplementary cementitious material than previously selected, or step (d) is performed if the thickening time of the cement slurry meets or exceeds the thickening time requirement; and preparing the cement slurry.