SELF-LEARNING FRAMEWORK FOR PREDICTIVE TOPOGRAPHIC MODELING AND INTELLIGENT REAL-TIME SYSTEM CONTROL OF SUBTERRANEAN SLURRY INJECTION SYSTEM
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Jan 23, 2025
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Apr 8, 2024
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Apr 8, 2024
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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.
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