Geothermal Borehole Construction With Real-Time Drilling Optimization
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Solution Overview
Problem
Current geothermal heating and cooling systems lack optimal planning and engineering design, leading to non-optimal performance and higher operating costs due to standard-sized geothermal wells not accounting for site-specific conditions, resulting in unreliable heating and cooling for building owners, especially in larger or densely populated areas.
Innovation Solution
A method and system that combines data modeling with real-time sensor data from drilling operations to optimize geothermal borehole construction by adjusting drilling depth, diameter, and direction, using coiled tubing or joint drill pipes, and updating operational parameters based on sensor data to ensure optimal performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard-sized geothermal wells with pre-determined depths and lengths are constructed, then construction simplicity is maintained, but system performance becomes non-optimal and operating costs increase
Solution Approach 1:
The system performs preliminary data collection and modeling before construction to determine optimal well parameters. Surface and subsurface data are collected and processed through thermal response tests and 3D Earth models to pre-determine the optimal configuration of geothermal wells before any drilling occurs, ensuring both performance optimization and construction efficiency.
Solution Approach 2:
The system transitions from static, pre-determined well specifications to dynamic, real-time optimization during construction. Sensors continuously monitor drilling parameters and subsurface conditions, allowing the system to adaptively adjust well depth, diameter, and placement to achieve optimal performance while accounting for actual site conditions encountered during drilling.
2Adaptability or versatility
If shallow geothermal wells with large horizontal pipe areas are used, then installation is simpler for residential systems, but scalability is limited for larger buildings and high-density areas
Solution Approach 1:
The system enables transition from two-dimensional horizontal pipe layouts to three-dimensional vertical borehole configurations. By optimizing well depth and utilizing the vertical dimension, the system can achieve the required heat exchange capacity without proportionally increasing horizontal surface area, thereby enabling scalability to larger buildings and high-density urban environments.
Solution Approach 2:
The system dynamically changes key parameters including well depth, diameter, spacing, and orientation based on site-specific subsurface thermal properties and building heat loads. This parameter optimization allows the same geothermal system to scale effectively from residential to commercial applications without being constrained by fixed horizontal area requirements.
3Reliability
If geothermal wells are constructed without real-time monitoring and adaptive control, then construction process is simpler, but long-term performance predictability and reliability are reduced
Solution Approach 1:
The system implements continuous feedback loops during both construction and operation phases. Sensors monitor drilling parameters, subsurface temperature changes, and system performance in real-time, feeding this data back to the optimization engine which adjusts operational parameters accordingly. This feedback mechanism ensures predictable long-term performance while maintaining construction efficiency through automated real-time control.
4Manufacturing precision
If site-specific data collection and modeling are performed, then optimal well configuration is achieved, but data processing time and computational resources increase
Solution Approach 1:
The system performs data collection and preliminary modeling activities before construction begins, establishing the optimal well configuration in advance. By completing the computationally intensive 3D Earth modeling and thermal response analysis prior to drilling, the system achieves high precision well configuration without adding time delays during the actual construction process.
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 approach enables consistent and predictable long-term performance of geothermal systems, reducing operating costs and improving scalability for commercial and residential buildings by tailoring borehole construction to specific site conditions.
Implementation Method 1
heat is transferred between the building (e.g., a residential or commercial building) and the earth using fluid circulated through the looped pipes
Implementation Method 2
heat is transferred between the building (e.g., a residential or commercial building) and the earth using fluid circulated through the looped pipes
Data Source
AI summary
A system for optimizing a geothermal heating and cooling system operation comprises a drill rig and a processor. The drill rig is configured to construct a geothermal borehole according to operational parameters and deploy a coiled tubing or joint drill pipes enabled drill bit. The processor is configured to receive user specification of (i) one or input parameters and (ii) a first coefficient of performance (COP) of a heat pump for constructing the geothermal borehole. The processor is configured to apply a model to determine the set of operational parameters for constructing the first geothermal borehole. The processor is configured to collect, in real time during the construction, sensor data from sensors positioned on the drill bit, update the model according to the sensor data, update the operational parameters according to the updated model, and control the construction of the first geothermal borehole according to the updated operational parameters.