Real-Time Borehole Trajectory Tracking via Depth Estimation

Based on Patent Research | CN-113431557-B (2024)

Deviations from planned paths during drilling operations can cause significant expense. Current borehole tracking methods often lack the accuracy needed for complex projects. Depth estimation, a computer vision task, offers a solution by learning from drilling data to predict the borehole's trajectory. This approach provides real-time insights, enabling proactive adjustments. Improved accuracy reduces the risk of equipment damage and ensures more efficient resource use. Ultimately, it leads to safer and more cost-effective mining operations.

SOLUTION OVERVIEW

Reimagining Manual Tracking with AI

For mining and quarrying professionals, Depth Estimation technology offers a solution to the costly problem of borehole deviation. This system analyzes drilling data in real time, learning from past operations to predict the borehole's trajectory. By continuously monitoring and predicting the drill's path, it provides immediate insights, enabling operators to make informed adjustments to the drilling plan and avoid costly mistakes.

This technology can integrate with existing drilling systems, providing automated alerts and recommendations. Like GPS for drilling, it guides the drill bit with increased precision. This minimizes equipment damage and optimizes resource use, ensuring safer and more effective mining operations. The potential for this technology will lead to significant improvements in drilling accuracy and efficiency.

HOW IT WORKS

Estimating Depth from Borehole Scans

Collecting Real-Time Drilling Data

Gathering drilling data is the first step. The system collects information such as drill weight, speed, pressure, and geological data in real-time from the drilling equipment. This comprehensive dataset forms the foundation for accurate depth estimation.

Analyzing Data for Trajectory Patterns

Analyzing the data, the AI algorithm identifies patterns and correlations within the data. It learns from historical drilling operations, correlating specific data points with past borehole trajectories. This learning process enables the system to predict future deviations.

Predicting Borehole Trajectory

Predicting Borehole Trajectory involves using the learned patterns to forecast the drill's path. The system continuously updates its predictions as new data streams in. This provides operators with a dynamic, real-time view of the borehole's expected course.

Providing Real-Time Guidance

Providing Real-Time Guidance alerts operators to potential deviations from the planned path. The system offers recommendations for adjustments to maintain the desired trajectory. This immediate feedback allows for proactive corrections, preventing costly errors.

Potential Benefits

Reduces Costly Deviations

Improved Drilling Accuracy

Minimizes Equipment Damage

By predicting borehole trajectory in real-time, the AI enables proactive adjustments, minimizing deviations from the planned path. This reduces the risk of equipment damage and the need for corrective actions, saving time and money.

Optimizes Drilling Efficiency

Enhanced Resource Utilization

Enables Safer Operations

The AI system's guidance optimizes drilling parameters, ensuring resources are used effectively. This leads to increased drilling efficiency and reduces waste, improving overall productivity in mining and quarrying operations.

Proactive Risk Mitigation

Real-Time Insights and Alerts

Data-Driven Decision Making

Immediate insights into borehole trajectory allow operators to identify and address potential problems before they escalate. This proactive approach reduces the risk of accidents and ensures safer working conditions for personnel.

Unlocks Data Insights

Better Informed Strategies

Reduced Operational Costs

By analyzing drilling data, the AI provides valuable insights into subsurface conditions and drilling performance. This information empowers mining professionals to make more informed decisions, improving overall operational strategies.

Implementation

1 Sensor Installation. Install necessary sensors on drilling equipment. Ensure compatibility with existing systems.

2 Data Stream Setup. Establish a real-time data stream from drilling equipment. Verify consistent data flow.

3 Model Configuration. Configure the AI model with drilling parameters. Calibrate for specific geological conditions.

4 System Integration. Integrate the system with existing drilling control interfaces. Enable alerts and recommendations.

5 Real-Time Monitoring. Monitor borehole trajectory predictions during drilling. Adjust parameters as needed for accuracy.

Source: Analysis based on Patent CN-113431557-B "Underground borehole track tracking method based on artificial intelligence" (Filed: July 2024).