Predictive Slurry Injection Control for Terrain Elevation Precision

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Solution Overview

Problem

Existing methods for protecting coastal areas from rising sea levels and increased storm frequency are costly and require significant maintenance, with limited options for elevating terrain without disrupting existing infrastructure.

Innovation Solution

The subterranean injection of lignocellulosic materials, such as sawdust, wood chips, and algae, to elevate terrain and structures, combined with advanced computational modeling and control systems to predict and control the injection process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If subterranean injection of solids is used to elevate terrain, then protection from inundation is achieved without surface disturbance, but the complexity of predicting and controlling the injection process increases

Engineering Contradiction:
Improveinundation riskVSAvoidprediction and control system complexity
Core Design Contradiction:
Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The patent replaces traditional mechanical and empirical injection control methods with computational modeling and machine learning algorithms. The system uses CFD simulations, FEA analysis, and ML-based predictive models to forecast slurry propagation and elevation outcomes, enabling precise control without complex physical intervention systems.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces computational models and simulation software as intermediary tools between the injection system and the terrain. These digital twins and predictive algorithms act as mediators that translate injection parameters into predicted elevation outcomes, allowing operators to optimize injection strategies without direct trial-and-error experimentation.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If traditional elevation methods like dikes and surface fill are used, then protection from rising sea levels is achieved, but construction costs and maintenance requirements increase

Engineering Contradiction:
Improveprotection reliabilityVSAvoidconstruction cost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent inverts the traditional approach of adding material on top of the terrain (surface fill) by injecting elevation material subterraneously. Instead of building up from the surface with expensive construction equipment and materials, the system injects slurry beneath the ground to create uplift from below, dramatically reducing construction costs while maintaining protection reliability.

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The patent uses hydraulic injection systems to deliver slurry containing elevation materials into the subterranean space. High-pressure pumping systems inject the slurry through injection wells, utilizing fluid mechanics to distribute the material evenly and create controlled uplift, replacing expensive mechanical construction methods with more efficient hydraulic processes.

Inventive Principle:
Principle #29Pneumatics and hydraulics

3Manufacturing precision

If subterranean injection is performed without predictive modeling, then the process is simpler, but manufacturing precision and control of elevation outcomes deteriorate

Engineering Contradiction:
Improveelevation control precisionVSAvoidmodeling and simulation complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary computational modeling and simulation before actual injection operations. Digital twin models predict slurry propagation patterns, pressure distribution, and elevation outcomes in advance, allowing operators to optimize injection parameters and anticipate results before committing resources to physical injection, thereby ensuring precision without excessive complexity.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback loops where actual injection data and measured elevation outcomes are fed back into the computational models to refine and update predictive algorithms. This continuous learning process improves manufacturing precision over time while managing system complexity through adaptive optimization rather than overly complex static systems.

Inventive Principle:
Principle #23Feedback

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This method allows for cost-effective, permanent elevation of terrain and structures without surface disturbance, reducing the risk of catastrophic inundation and improving seismic performance, while also providing a means for long-term carbon sequestration.

Implementation Method 1

a slurry pump delivers the lignocellulosic slurry into the aperture

Methodology Applied
Scientific EffectHydraulic pressure: Pressure Increase

Implementation Method 2

allow the solids to settle

Methodology Applied
Scientific EffectGravitational settling: Settling

Implementation Method 3

Release any trapped air and excess liquid from the aperture

Methodology Applied
Scientific EffectPressure reduction: Depressurisation

Data Source

PatentUS20250027289A1Self-learning framework for predictive topographic modeling and intelligent real-time system control of subterranean slurry injection system
Publication Date: 2025.01.23 JOHNSON COLE BRAYTON
  • US20250027289A1 patent drawing
  • US20250027289A1 patent drawing
  • US20250027289A1 patent drawing

AI summary

The invention presents a system for geospatial topographical modeling and real-time system control to be used with subterranean slurry injection technology. The system consists of a predictive modeling subsystem, which processes land characteristics to generate optimal site plans for drilling and injection. The real-time control subsystem implements these plans, dynamically adjusting slurry compositions and injection parameters based on sensor feedback. A feedback loop between the subsystems allows continuous refinement of both predictive models and operational controls, enhancing the precision with which the technology shapes the ground and the efficiency with which the technology sequesters carbon.