Yield Gravity Function for Fiber Suspendability Modeling
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Solution Overview
Problem
Current methods for determining the suspendability of suspending agents in treatment fluids for oil and gas operations are inefficient, requiring extensive experimentation to ensure effective suspension of lost-circulation materials, which is time-consuming and costly.
Innovation Solution
A predictive modeling method using a yield gravity function equation to calculate the suspendability of proposed suspending agents based on the properties of the base fluid and insoluble particulates, allowing for modification of agent properties to achieve a stable treatment fluid.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extensive experimentation is conducted to determine suspendability of suspending agents, then accuracy of suspension effectiveness is improved, but time consumption and cost increase
Solution Approach 1:
The patent performs preliminary characterization of the base fluid (rheological properties, density, temperature, pressure) and insoluble particulates (density, size distribution) before suspension testing. This preliminary data collection and analysis allows for predictive modeling of suspendability using yield gravity function equations, reducing the need for extensive iterative experimentation while maintaining accuracy.
Solution Approach 2:
The patent creates a mathematical model (yield gravity function) that copies and simulates the complex suspension behavior observed in experiments. Instead of repeatedly conducting physical experiments, the model replicates suspension effectiveness predictions based on fluid and particulate properties, significantly reducing time and cost while preserving measurement precision.
2Stability of the object's composition
If multiple iterations of experimentation are performed to optimize suspending agent properties, then treatment fluid stability is improved, but productivity decreases
Solution Approach 1:
The patent systematically varies key parameters (fiber concentration, fiber length, base fluid rheological properties, temperature, pressure) in the yield gravity function model to predict their influence on suspendability. By changing these parameters in the mathematical model rather than through repeated physical experiments, the method achieves treatment fluid stability optimization while maintaining high productivity.
Solution Approach 2:
The patent replaces the mechanical experimentation system with a mathematical modeling system. The yield gravity function equation substitutes physical suspension testing with computational predictions, allowing rapid evaluation of multiple suspending agent formulations and their effect on treatment fluid stability without the time constraints of iterative laboratory experiments.
3Measurement precision
If detailed property characterization of base fluid and particulates is performed, then predictive accuracy is improved, but device complexity and analysis time increase
Solution Approach 1:
The patent divides the complex suspension system into distinct components: base fluid properties (rheological parameters, density), insoluble particulate properties (density, size distribution), and suspending agent properties (fiber concentration, length). The yield gravity function model treats each segment separately with specific variables, making the overall complex system manageable through modular parameter characterization and analysis.
Data Source
AI summary
A method of predictive modeling of a treatment fluid comprises: determining the value of properties of a base fluid and insoluble particulates; providing a proposed suspending agent; performing a first calculation of the suspendability of the proposed suspending agent as determined by a yield gravity function equation; evaluating if the result from the first calculation indicates a stable treatment fluid comprising the base fluid, the insoluble particulates, and the proposed suspending agent, or if the result does not indicate a stable treatment fluid, then: modifying the value of at least one of the properties of the proposed suspending agent, base fluid, and/or insoluble particulate; and performing a second calculation, wherein the same or different property values are continued to be modified and the calculation is continued to be performed until the result indicates a stable treatment fluid; and introducing the stable treatment fluid into a wellbore.