DrillOps predictive analytics

An intelligent, automated, real-time multi-well monitoring alarm based advisory system, detecting, and predicting drilling events

Overview

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.

Applications

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.

Benefits

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.

Features

Wellbore integrity – tripping: Detect influx and loss during tripping; determine the maximum tripping speed to trip as fast and as safely as possible.

Wellbore integrity – flowback: Detect influx and loss during flowback after connections; identify abnormal flowouts and flow checks as well as monitoring gains in the active system.

Wellbore integrity – drilling: Monitor the wellbore pressure, wellbore stability and fracture limits; determine the risk of influx and loss during drilling.

Wellbore integrity – hole cleaning: Identify abnormal trends in cutting concentration along the borehole; determine cuttings bed height and overall hole cleaning efficiency.

Drilling efficiency: Determine optimal drilling parameters and drilling breaks using mechanical specific energy (MSE) and an intelligent algorithm that tracks the expected MSE; Compare MSE with shock and vibration to identify inefficient drilling.

Torque and drag: Our automatically calibrated torque and drag engine provides real-time broomstick plot and detection of abnormal friction, buckling and von Mises stresses, during drilling, at connections and when tripping.

Parameter adherence: Monitor how well the operational drilling parameters meet the planned references. Parameter windows can be seamlessly ingested from the offset well analysis in either DrillPlan or DrillOps performance insights, a compliance score then tracks adherence to plan.

Trajectory adherence: Quickly evaluate the real-time directional drilling status through drilling tunnel and slide sheet workflows. Integration with DrillPlan allows for the import of an anti-collision tunnel based upon offset well and travelling cylinder analysis. Real-time tracking and anti-collision scanning ensure the trajectory remains safely within the tunnel.

Drilling performance: Monitor drilling performance based on different activities, compare current drilling performance against the plan and identify invisible lost time with automated real-time KPI analysis.

Drillstring integrity: Effectively monitor downhole shock and vibration and detect abnormal pressures in the drillstring and in the borehole. The combination of physics based model with machine learning allows for quick and accurate detection of abnormal pressures.