Tomax AI Enhances Drilling Safety and Performance Through Data Analysis
Discover how AI is transforming drilling operations by providing a clearer picture of downhole vibrations, ultimately enhancing performance and reliability in the industry.
Key Facts
- Tomax's AI-driven data pipeline captures 115M datapoints, enhancing drilling accuracy and safety.
- High-fidelity data reveals torsional fatigue causes, shifting industry standards for performance analysis.
- 2–15 Hz interceptor shows significant reduction in drill-bit damage, offering competitive edge in drilling.
- Advanced algorithms reduce analysis time, improving operational efficiency and financial performance.
- Methodology parallels aviation safety checks, indicating strategic shift towards data-driven drilling solutions.
Summary
Summary
Tomax, a Norwegian specialist company in drilling technology, faced challenges with downhole vibrations that hindered drilling performance. They implemented an advanced data harvesting solution using AI and machine learning to capture high-fidelity data on drilling dynamics. This deployment resulted in a comprehensive understanding of drilling forces, enhancing safety and efficiency in operations.
Background
Tomax operates in the drilling technology sector and focuses on vibration mitigation and performance optimization. Before the deployment, the company relied on traditional data sources, which provided limited insights into the dynamics of drilling operations, leading to inefficiencies and increased downtime.
Challenge
The primary challenge was the need for accurate data on downhole vibrations and the underlying forces affecting drilling performance. Traditional systems captured data at sparse intervals, which did not provide a clear understanding of the resonances causing failures and poor performance.
Solution
Tomax developed a solution by integrating a unique strain and torsion measurement unit into a modern 150-ton automated drilling rig. This unit operated at high sampling rates and was connected to a robust data pipeline that eliminated buffering bottlenecks. The system captured continuous, high-fidelity data during drilling operations in a geothermal appraisal well, allowing for real-time analysis of drilling dynamics.
Results
The implementation resulted in the collection of 115 million calibrated data points per trace over four hours of drilling with various bottomhole assembly configurations. This data enabled the application of the ASTM E1049 rainflow fatigue model, providing insights into torsional fatigue and the effects of different vibration frequencies on drill-bit performance.
Key Insights
The case study highlights the importance of high-fidelity data in understanding complex drilling dynamics. It demonstrates that advanced data pipelines and AI/ML techniques can significantly enhance the analysis of drilling operations, leading to improved safety and efficiency.
Customer Testimonial
Nils Reimers, SPE, Director of Research Development at Tomax, noted the transformative impact of high-fidelity data on drilling safety and efficiency.
Entities Mentioned
Companies
Technologies
People
Organizations
Key Concepts
Definitions
- downhole vibrations
- Vibrations occurring in the drilling process that can affect performance and lead to failures.
- data pipeline
- A system that transports data from one place to another, often involving processing and storage.
- rainflow-cycle counting method
- An algorithm used to analyze variable-amplitude stress histories and break them down into individual fatigue cycles.
- BHA (Bottom Hole Assembly)
- The component of a drill string that is located at the bottom of the well and includes the drill bit and other tools.
- signal integrity
- The ability of a signal to maintain its quality and reliability during transmission.
Use Cases
- →capturing high-fidelity drilling data
- →analyzing torsional fatigue
- →improving drilling safety and efficiency
- →optimizing drilling dynamics
- →monitoring vibrations in drilling operations
Frequently Asked Questions
What is the significance of downhole vibrations in drilling?
Downhole vibrations can significantly impact drilling performance and lead to equipment failures. Addressing these vibrations is crucial for improving efficiency and reducing downtime.
How does AI/ML contribute to drilling dynamics?
AI and machine learning techniques help analyze large datasets to identify patterns and optimize drilling operations. They enable more accurate predictions of performance and potential issues.
What challenges are associated with data pipelines in drilling?
Data pipelines in drilling face challenges such as signal integrity and the need for continuous, high-speed data transfer. Ensuring reliable data flow is essential for accurate analysis.
What is the rainflow-cycle counting method used for?
The rainflow-cycle counting method is used to analyze stress histories in drilling to identify fatigue cycles. It helps in understanding the causes of wear and tear on drilling equipment.
What role does Tomax play in drilling technology?
Tomax specializes in drilling dynamics and has developed advanced solutions for data harvesting and vibration mitigation. Their innovations aim to enhance drilling performance and safety.