<p>Drilling mud requires reliable lubricity evaluation to minimize drill string torque. Conventional EP-lubricity meters like the BAROID model lack precise speed control and torque measurement capabilities, relying on subjective operator judgment. This study presents an upgraded system featuring three technical enhancements: (1) PWM-based speed regulation for consistent rotation, (2) closed-loop motor control using dynamic modeling, and (3) torque estimation through current-speed correlation algorithms. The modernized device connects via USB to a dedicated interface, enabling real-time monitoring of critical parameters including lubricant film failure thresholds and seizure points—previously assessed through auditory methods. Validation tests demonstrated 95% agreement with the industry-standard FANN model, confirming the system's accuracy while eliminating human interpretation errors. These improvements provide objective, quantitative EP-lubricity data essential for drilling fluid optimization and quality control. The upgraded system maintains backward compatibility while offering research-grade measurement precision, particularly valuable for extreme pressure lubricant development and field fluid monitoring. This advancement represents a significant step toward standardized, reproducible lubricity evaluation in drilling operations.</p>

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Accurate torque prediction in drilling operations: an enhanced EP lubricity evaluation methodology

  • Sina Afsharpour,
  • Mahmoud Din Mohammad,
  • Seyed Hossein Hashemi,
  • Alireza Nasiri,
  • Farshid Torabi

摘要

Drilling mud requires reliable lubricity evaluation to minimize drill string torque. Conventional EP-lubricity meters like the BAROID model lack precise speed control and torque measurement capabilities, relying on subjective operator judgment. This study presents an upgraded system featuring three technical enhancements: (1) PWM-based speed regulation for consistent rotation, (2) closed-loop motor control using dynamic modeling, and (3) torque estimation through current-speed correlation algorithms. The modernized device connects via USB to a dedicated interface, enabling real-time monitoring of critical parameters including lubricant film failure thresholds and seizure points—previously assessed through auditory methods. Validation tests demonstrated 95% agreement with the industry-standard FANN model, confirming the system's accuracy while eliminating human interpretation errors. These improvements provide objective, quantitative EP-lubricity data essential for drilling fluid optimization and quality control. The upgraded system maintains backward compatibility while offering research-grade measurement precision, particularly valuable for extreme pressure lubricant development and field fluid monitoring. This advancement represents a significant step toward standardized, reproducible lubricity evaluation in drilling operations.