Surface Processor Control of Drill String From Downhole Measurements
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Solution Overview
Problem
Current measurement-while-drilling (MWD) systems face challenges in accurately monitoring and correcting drilling data in real-time, particularly in identifying erroneous data and predicting undesirable events, which can lead to inefficiencies and increased costs due to the need for manual intervention and potential equipment damage.
Innovation Solution
A system comprising a surface processor and a downhole device with a processor, utilizing machine learning models and artificial intelligence to analyze data from MWD tools and electronic drilling recorders, enabling real-time monitoring, data correction, and predictive analytics to prevent undesirable events, such as modifying drilling parameters like weight on bit and revolutions per minute.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional MWD systems are used to monitor drilling data, then data can be transmitted to the surface, but the systems cannot accurately identify erroneous data or predict undesirable events in real-time
Solution Approach 1:
The system implements real-time feedback loops where downhole measurements are continuously monitored, analyzed against predicted values, and used to adjust drilling parameters. The surface processor receives measurements from the downhole device, compares them with predicted measurements, and automatically modifies drilling operations when deviations are detected, creating a closed-loop control system that improves data accuracy and error detection.
Solution Approach 2:
The system performs preliminary actions by predicting undesirable events before they occur. The surface processor analyzes current drilling data and predictions to anticipate potential problems, allowing operators to take preventive measures before actual failures or errors occur, thereby improving measurement reliability and preventing data loss.
2Reliability
If manual intervention is used to monitor and correct drilling data, then data quality can be maintained, but drilling efficiency decreases and costs increase
Solution Approach 1:
The system enables self-service by implementing automated monitoring and correction capabilities. The surface processor automatically receives measurements, compares them with predictions, identifies erroneous data, and triggers appropriate responses without requiring constant manual intervention. This autonomous operation maintains data quality while significantly improving drilling efficiency and reducing operational costs.
Solution Approach 2:
The system replaces manual mechanical monitoring processes with automated electronic and computational systems. The surface processor uses computer algorithms to perform data analysis, error detection, and parameter adjustment that previously required human operators, thereby maintaining reliability while enhancing productivity.
3Adaptability or versatility
If conventional MWD systems transmit data in WITS format, then data can be shared between devices, but data quality varies and includes bad or low quality data
Solution Approach 1:
The system performs preliminary filtering and validation of data before it is transmitted or used for decision-making. The surface processor compares actual measurements with predicted measurements in advance, identifying and flagging erroneous data points before they propagate through the system, thereby improving overall data quality while maintaining transmission versatility.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor data quality during transmission and processing. When deviations between actual and predicted measurements are detected, the system provides feedback to adjust data processing algorithms or request re-measurements, ensuring high data quality is maintained throughout the transmission process.
Data Source
AI summary
In some embodiments, a system includes a surface processor and a tool drill string having a downhole device including a downhole processor. The surface processor may include a memory storing instructions, and the surface processor may be communicatively coupled to the downhole processor. The surface processor may be configured to execute the instructions to receive one or more first measurements from the downhole device, and determine whether the one or more first measurements satisfy a threshold measurement. Responsive to determining the one or more first measurements satisfy the threshold measurement, the surface processor may electronically modify a weight on bit by a first amount and electronically modify a revolutions per minute of a motor by a second amount.