Drilling Rig Efficiency Tracking via ILT and IST Metrics
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Solution Overview
Problem
Drilling operations face inefficiencies due to untracked Invisible Lost Time (ILT) and lack of visibility into time management, leading to delays and reduced productivity.
Innovation Solution
A system and method for tracking ILT and Invisible Saved Time (IST) using sensor data and operational reports, enabling the calculation of efficiency metrics and generation of reports to improve drilling operation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional drilling operation tracking methods are used, then visible time losses (DT) can be monitored, but invisible lost time (ILT) remains untracked leading to efficiency gaps
Solution Approach 1:
The system implements continuous feedback loops where sensor data from drilling operations is automatically collected, processed, and compared against planned schedules. The controller generates real-time efficiency reports that feed back to operators, enabling them to identify and correct ILT issues as they occur rather than discovering them after the fact. This closed-loop feedback system transforms previously invisible time losses into measurable, actionable data.
Solution Approach 2:
The patent replaces manual time tracking methods with an automated electronic system using sensors, controllers, and computer processors. Instead of relying on paper-based logs and manual reporting, the system uses automated data collection from drill sensors, hydraulic pressure sensors, and other equipment to calculate and report efficiency metrics, eliminating the mechanical limitations of human observation and recording.
2Measurement precision
If manual time tracking methods are used, then implementation is simple, but measurement precision of efficiency metrics is insufficient
Solution Approach 1:
The controller serves multiple functions: it collects data from various sensors, processes the information, compares actual performance against planned schedules, calculates efficiency metrics, and generates reports. This multi-functional approach consolidates what would otherwise require separate systems into a single integrated controller, improving measurement precision without proportionally increasing overall system complexity.
Solution Approach 2:
The system automatically collects its own operational data through integrated sensors, processes the information through built-in algorithms, and generates its own efficiency reports without requiring external manual intervention. This self-service capability enables precise measurement while minimizing the operational overhead required to maintain the tracking system.
3Productivity
If detailed efficiency tracking is implemented, then productivity insights are improved, but data processing requirements increase
Solution Approach 1:
The system implements efficiency tracking at the level of individual drilling operations and key performance indicators rather than attempting to monitor every minor parameter. By focusing on critical metrics such as bit on bottom time, tripping time, and connection time, the system achieves meaningful productivity insights while avoiding the excessive data processing burden of comprehensive monitoring of all possible parameters.
Data Source
AI summary
Systems, devices, and methods for tracking the efficiency of a drilling rig are provided. A sensor system on a drilling rig is provided. A controller in communication with the sensor system may be operable to generate measureable parameters relating to at least one Key Performance Indicators (KPIs). The measurable parameters may be compared with measureable parameters from a target to generate an Invisible Lost Time (ILT) period and an Invisible Saved Time (IST) period for the drilling rig. The KPIs, ILT period, and IST period may be displayed to a user.