Rig Sensor Data Preprocessing for Remote Monitoring
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Solution Overview
Problem
Existing oil well rig monitoring systems face challenges due to bandwidth limitations, requiring expensive and safety-concerned experienced engineers to be present at the rig site for real-time data monitoring and control, and suffer from interruptions and slowdowns in data transmission, limiting remote active manipulation and troubleshooting.
Innovation Solution
A system that preprocesses telemetry and surface sensor data into a low-bandwidth stream for transmission to a remote monitoring site, using techniques like compression, down-sampling, and packetizing, allowing for efficient and real-time analysis and control from a central location, utilizing robust and cost-effective network links such as satellite and cellular communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If experienced engineers are deployed to rig sites for real-time monitoring and control, then data acquisition and troubleshooting reliability is improved, but operational cost increases and safety risks arise
Solution Approach 1:
The system enables self-service through automated data acquisition, preprocessing, and transmission. The rig site equipment automatically monitors itself and transmits data without requiring continuous engineer presence, allowing remote monitoring while reducing operational costs and safety risks associated with on-site engineer deployment.
Solution Approach 2:
The patent introduces an intermediary system consisting of automated data acquisition equipment, preprocessing systems, and communication networks that mediate between the rig site and remote monitoring centers. This intermediary infrastructure enables reliable data transmission without requiring direct engineer intervention at the rig site.
2Loss of information
If full sensor data is transmitted to remote locations, then data completeness is improved, but transmission bandwidth requirements increase causing interruptions and slowdowns
Solution Approach 1:
The system extracts only the essential and critical data elements from the complete sensor dataset for transmission to remote locations. The preprocessing system identifies and transmits key parameters and anomaly detections while leaving detailed raw data at the rig site, thereby maintaining data completeness for critical information while reducing bandwidth requirements and transmission interruptions.
Data Source
AI summary
Systems and methods for monitoring and/or operating a rig site system are provided. In accordance with one embodiment, a method for monitoring a rig site system may include obtaining sensor data at a rig site and transmitting pre-processed sensor data pertaining to the sensor data from the rig site over a network link to a monitoring site. The method may also include demodulating the pre-processed sensor data at the monitoring site to produce demodulated data. The method may also include analyzing the demodulated data at the monitoring site. The sensor data may comprise at least one of surface sensor data, MWD sensor data, or LWD sensor data, or any combination thereof.