Development of an Underwater Leak Detection Monitoring and Data Management System

The client faces difficulties in integrating high-volume real-time sensor data from underwater environments, managing large datasets securely without internet access, and developing a scalable system capable of detecting and predicting underwater oil and gas leaks to prevent environmental damage and operational losses.

A medium to large-scale energy production company specializing in offshore oil and gas exploration, requiring advanced underwater sensor data analysis and leakage prediction software.

• Develop a software solution capable of visualizing real-time underwater sensor data with complex mathematical analysis.
• Create a predictive monitoring system to identify and forecast potential subsea oil and gas leaks through data analysis and simulation.
• Ensure data security and system resilience for long-term operation in an isolated network environment without requiring frequent upgrades.
• Support large datasets (hundreds of gigabytes) with efficient data retrieval and processing over multi-year periods.
• Enable operators to run scenario simulations to proactively identify risk zones and improve environmental protection measures.

• Real-time data visualization dashboards for sensor measurements including temperature, pressure, and water currents.
• Data integration modules supporting multiple sources: sensor databases, manual data entries, and calculation results.
• Universal data formatting to ensure consistency across data sources.
• Local data storage utilizing lightweight, portable databases suitable for high-volume, long-term data retention.
• Configuration management via simple configuration files for manual data and system parameters.
• Predictive modeling tools capable of analyzing historical data, running simulations, and identifying potential leak locations.
• Alerting mechanisms based on threshold violations or predictive risk assessments.
• Historical data analysis and graphical reporting capabilities.

• Sensor data sources via APIs or file ingestion for real-time updates
• Configuration files for manual parameter management
• Logging systems for error and event tracking
• Potential connection points for manual data input or system alerts

• System must operate reliably over 5-10 years with minimal maintenance
• Data storage capacity supporting hundreds of gigabytes of historical data
• Fast data retrieval with minimal latency in high-volume environments
• Resilience to disconnected or malformed data inputs with logging for troubleshooting
• Secure operation within an isolated network environment without internet access

By implementing this advanced data visualization and predictive leak monitoring system, the client aims to significantly reduce the risk of unnoticed subsea hydrocarbon leaks, thereby protecting marine ecosystems and avoiding environmental penalties. The solution is expected to enable early leak detection and accurate scenario simulations, contributing to operational safety and environmental conservation over a multi-year operational lifespan.