DrillOps™ predictive analytics

DrillOps predictive analytics is an intelligent, automated, real-time multi-rig monitoring and advisory system. Alert-based monitoring enables proactive intervention across multiple drilling workflows to optimize operational performance, making it easy to monitor operations at scale.​

The system combines AI with traditional physics-based models to enhance predictive capabilities and provide actionable insights. This hybrid approach leverages data-driven techniques to understand real-time drilling conditions and predict potential issues. The AI models are designed to learn from real-time data and historical data to improve accuracy and reliability.

Improve your operational performance and minimize downtime with DrillOps predictive analytics.

DrillOps predictive analytics can be applied to any type of drilling and tripping activity, from a one-well project to a multi-field development.​

Our workflows cover stuck pipe, wellbore integrity, drillstring integrity, torque and drag, drilling efficiency, drilling performance, parameter and trajectory adherence, and data quality ensuring you have smart alarm coverage at all stages of your drilling operations.

The primary goal of predictive analytics is to prevent costly non-productive time (NPT) and enhance the efficiency of drilling and tripping operations—reducing ILT.

Proactive
With rapid access to quality-controlled data, and over 30 robust smart alarms, DrillOps predictive analytics provides a comprehensive understanding of drilling operations. This enhanced predictive capability allows for better decision-making and timely interventions to prevent issues before they turn into costly delays.

Advanced predictive capabilities
The combination of traditional physics-based models with AI-driven techniques enhances the system's ability to predict and prevent issues. This hybrid approach provides more accurate and reliable predictions. The system not only provides indicators and alarms but also integrates multiple indicators to offer a comprehensive understanding of the situation, such as our stuck pipe workflow.

Scalability and efficiency
The automated smart interpretation identifies where real-time data analysts and drilling engineers need to focus. It reduces the manual work required to run these models and to interpret their results, enabling one expert to monitor more rigs simultaneously, which is particularly beneficial for large-scale operations, and enables more efficient use of resources.

DrillOps predictive analytics automatically monitors and reports data-quality issues, alerting you when key real-time data channels are missing or require calibration. Having all wells and rigs viewable in a single dashboard reduces the need for additional resources.