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Development of Subsea Leak Detection and Predictive Monitoring System

kitrum.com

Environmental Services

Energy & natural resources

Information technology

Challenges in Subsea Leak Detection and Data Management

Need for a closed-network solution to integrate and visualize real-time sensor data from underwater environments while enabling predictive analytics for oil/gas leak detection. Challenges include handling high-volume data streams, ensuring offline operability, maintaining long-term data integrity, and implementing complex mathematical models for leak prediction in isolated systems.

About the Client

Company specializing in underwater sensor development for dissolved gas measurement, serving industrial and scientific applications in offshore environments

Key Project Goals

Develop real-time data visualization MVP for sensor outputs
Implement predictive analytics system for underwater leak detection
Ensure full operability in offline/internal network environments
Create simulation capabilities for leak scenario modeling
Establish robust data management for 5-10 year deployments

System Functional Requirements

Real-time multi-sensor data visualization dashboard
Universal data format conversion engine
Predictive leak detection algorithms with GIS mapping
Scenario simulation tools for leak prediction modeling
Offline data storage and retrieval system with SQLite backend
Configurable threshold management via TOML files

Technology Stack Requirements

Python

React

TypeScript

SQLite

Docker

Windows Server

System Integration Needs

Underwater sensor data interfaces
Scientific calculation modules
Historical database connectors
Offline GIS mapping integration

Critical Non-Functional Requirements

Zero-internet dependency with full offline functionality
High data integrity across 5-10 year deployments
Fault-tolerant architecture for harsh environments
Modular design for future scalability
Low-latency data processing for real-time monitoring

Expected Business and Environmental Impact

Enables proactive subsea leak prevention through predictive analytics, reducing environmental risks in offshore operations. Improves operational efficiency through automated data analysis while maintaining compliance with environmental regulations. Provides long-term cost savings through early leak detection and reduced manual monitoring requirements.