Precision Drilling with Smart AI Insights

DrillSense™ is a predictive drilling analytics platform that brings together physics-aware ML, real-time anomaly detection, and automated drilling optimisation. It unifies rig telemetry and WITSML streams into a single operational workspace, helping teams monitor drilling performance, reduce non-productive time, avoid failure events, and make faster decisions across wells.

Why DrillSense™?

  • Unifies rig and WITSML data into one structured dataset for reliable operational decisions.
  • Detects drilling anomalies such as kicks, stuck pipe, and circulation losses in real time.
  • Optimises ROP, WOB, and RPM through AI-guided parameter recommendations.
  • Predicts bit wear and failure modes to extend run lengths and avoid unplanned trips.
  • Presents actionable KPIs and live dashboards aligned with drilling team workflows.
  • Automates daily and end-of-section reporting to shorten analysis and review cycles.

How it works

DrillSense™ automates the drilling workflow by unifying rig data, identifying anomalies early, optimising drilling parameters, and generating ready-to-use operational reports.

  • Data Ingestion: Handles WITSML, rig telemetry, historical logs, and surface parameters in a structured workspace for consistent engineering analysis.
  • Performance Monitoring: Tracks real-time KPIs, ROP trends, torque and drag, and section-level drilling behaviour with clear operational visibility.
  • Anomaly Detection: Uses ML models to identify stuck-pipe risks, circulation losses, kicks, and other abnormal patterns across varying drilling conditions.
  • Parameter Optimization: Applies physics-informed AI to recommend ROP, WOB, and RPM adjustments for safer and more efficient drilling performance.
  • Reporting & Insights: Produces daily and end-of-section reports with actionable findings, KPIs, recommended changes, and clear operational guidance.

Key Modules of DrillSense

Built to deliver drilling intelligence for confident decision-making.

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Integrated Drilling Data Analysis

• Ingests WITSML and telemetry data into a unified drilling workspace. • Normalizes drilling streams for consistent cross-well comparisons. • Tracks real-time ROP, torque, drag, and critical KPIs. • Detects early deviations from expected drilling behavior patterns. • Highlights key operational risk zones using live trend patterns. • Supports reliable offset-well comparisons to guide drilling decisions. • Provides a structured dataset for optimization and accurate reporting.

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Enhanced Drilling Performance Intelligence

• Recommends optimal ROP, WOB, RPM targets using adaptive models. • Balances drilling speed with added stability for safer performance. • Learns from historical outcomes to refine drilling parameter choices. • Identifies efficiency gains across sections using performance patterns. • Adjusts recommendations dynamically as conditions continually evolve. • Supports safer drilling through controlled parameter tuning workflows. • Improves performance consistency across wells and operational runs.

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Advanced Mechanical Risk Forecasting

• Forecasts bit wear progression using downhole telemetry indicators. • Estimates remaining bit life accurately for proactive drilling planning. • Evaluates torque and drag carefully to detect stuck-pipe risks. • Highlights mechanical stress buildup clearly across drilling intervals. • Integrates formation data to maintain safe operating envelopes. • Surfaces warning signs earlier for timely engineering intervention steps. • Reduces unplanned trips by anticipating likely failure scenarios.

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Streamlined Drilling Reporting Workflows

• Generates daily drilling reports with structured KPIs included. • Produces section reports with clear trends and deeper insights. • Converts drilling data into clean, understandable visual summaries. • Standardizes reporting formats for consistent team communication. • Highlights operational events and recommended next actions cleanly. • Supports regulatory reporting with clean exportable documentation. • Reduces engineering workload through automated reporting workflows.

Features of DrillSense

Predictive drilling intelligence for stronger, safer operational performance.

AI-Based Anomaly Detection

Identifies unexpected drilling events using ML models and highlights evolving risk trends for rapid operational response.

Live Performance Monitoring

Tracks live changes in pressure, torque, ROP, and other KPIs to guide informed operational decisions and planning.

Predictive ROP Optimization

Recommends ROP, WOB, and RPM adjustments to improve drilling speed and maintain consistent operational stability.

Bit Life Forecasting

Predicts bit wear and remaining useful life, helping teams plan trips and reduce significant unplanned downtime.

Geomechanics Intelligence

Incorporates formation data to improve drilling decisions and control operational risk across varying conditions.

Automated Reporting

Generates clean, exportable drilling reports with key findings, KPIs, and recommended next steps for operations.

Inspirational Insights Client Stories

From pilot runs to full-scale deployment, see how SeisSense™ drives value in real operations.

FAQs on DrillSense Platform

DrillSense™ continuously analyzes ROP, torque, drag, pressure, and downhole responses to surface early warning signs and performance shifts. It alerts engineers to emerging issues such as stuck-pipe tendencies, rising mechanical stress, or poor hole cleaning while offering parameter adjustments to maintain stability. This helps teams reduce risk, avoid costly downtime, and sustain performance across well sections.

The platform works with standard WITSML feeds, rig telemetry streams, and historical drilling logs. Integration is straightforward because DrillSense™ is built around industry compatible connectors and can sit alongside your existing real-time operating center tools. Most teams begin using the platform with minimal workflow disruption, and insights appear immediately once data is connected.

DrillSense™ combines physics-based relationships and machine-learning models trained on thousands of drilling intervals. This dual approach improves prediction accuracy and reduces false alarms. It continuously recalibrates as new data flows in, ensuring real-world reliability. The system’s goal is not only detecting events but giving clear, actionable guidance that engineers can trust on active wells.

Yes. DrillSense™ evaluates incoming data streams second-by-second to recommend ROP, WOB, and RPM adjustments. These recommendations reflect both the current mechanical state and the surrounding formation’s response, helping maintain drilling consistency. Engineers remain in full control, DrillSense™ simply provides supporting intelligence, especially during dynamic or challenging intervals.

The platform automatically generates daily summaries, section-level reviews, performance highlights, and recommended improvements. These reports help supervisors understand what happened, why it happened, and how to enhance performance on the next run. Because reporting is standardized, multi-rig operations benefit from consistent KPIs, cleaner communication, and a shared view of drilling performance.

DrillSense™ supports both cloud and on-premise deployments. Many operators prefer cloud for scalability and centralized oversight, but the platform also runs entirely offline for secure or regulated environments. Air-gapped installations are fully supported, ensuring sensitive operational data never leaves the customer’s controlled infrastructure.

Lower Drilling Risk with Smarter Analytics

Learn how DrillSense™ identifies early warning signs and strengthens operational decision-making.