Empowering Innovation Through AI and Information Technology

Smart Drilling Automation Software for 1000 HP Land Rigs

AI-Driven Precision, Safety, and Efficiency

Performance Highlights

• Real-Time Optimization: Continuously adjusts drilling parameters (ROP, WOB, RPM, mud flow) using AI to maximize penetration rates while minimizing tool wear.
• Predictive Analytics: Reduces non-productive time (NPT) by forecasting equipment failures and drilling dysfunctions (e.g., stick-slip, vibrations).
• Adaptive Learning: Machine learning algorithms improve performance over time by analyzing historical and real-time drilling data.
• High-Speed Data Processing: Handles large datasets from sensors (1000+ data points/sec) with <1-second latency for critical decisions.

Compatibility with SCADA & PLC Systems

• Seamless Integration: Connects to industry-standard SCADA (e.g., Ignition, WinCC, OPC-UA) and PLCs (Siemens, Allen-Bradley, Schneider) via:
  • OPC-UA/DA for real-time data exchange.
  • Modbus TCP/IP for legacy rig systems.
  • REST APIs for cloud-based dashboards.
• Closed-Loop Control: Sends AI-optimized setpoints back to PLCs to automate drilling (e.g., auto-drillers, drawworks control).
• Cybersecurity: Compliant with IEC 62443 for secure industrial communication.

How It Works

1. Data Acquisition:
   • Ingests real-time data from rig sensors (WOB, torque, RPM, mud pressure), PLCs, and MWD/LWD tools.
2. AI Processing Layer:
   • Dynamic Drilling Advisory: Recommends optimal parameters based on formation response.
   • Hazard Detection: Flags kicks, stuck pipe, or wellbore instability using pattern recognition.
3. Automation Execution:
   • Adjusts setpoints via PLCs (e.g., “Reduce WOB by 15% to avoid bit balling”).
   • Alerts driller via HMI or SCADA alarms if human override is needed.
4. Dashboard & Reporting:
   • Visualizes KPIs (ROP, mechanical specific energy) and predictive alerts in a unified interface.

Technical Advantages

• Open Architecture: Supports integration with third-party drilling software (e.g., Halliburton’s Decision Space, Schlumberger’s Drill Plan).
• Edge Computing: Deploys on-premise or edge devices for low-latency processing in remote locations.
• Adaptive to Rig Types: Configurable for mechanical, electric, or hybrid land rigs.

Outcome: 20–30% faster drilling, 15% lower fuel consumption, and reduced human error.