Subsea Prism

AT A GLANCE

The client is a U.S. subsea safety technology provider serving organizations operating in complex marine environments.

Offshore teams needed faster access to information from hundreds of sensors installed across subsea extraction facilities. Delayed visibility into anomalies increased accident risk, while environmental requirements increased the need for reliable anomaly assessment.

Computools delivered an energy software development solution that consolidated sensor data and simulation capabilities within a real-time monitoring system. Across monitored offshore facilities, maintenance expenses decreased by 35%, accidents decreased by 15%, and related non-compliance fines also fell by 15%.

THE CLIENT

The client develops safety solutions for subsea environments and has worked in leak detection for more than two decades. Its products support organizations operating or studying complex marine environments.

The company works internationally, with partners and customers in 25 countries, and also supplies technology to climate research institutions. Its solutions rely on offshore sensor data to support leak detection, environmental monitoring, and operational decision-making.

BUSINESS CHALLENGE

Offshore teams needed faster access to real-time information from hundreds of sensors across subsea extraction facilities.

Delayed anomaly response. Limited real-time visibility meant abnormal conditions could go unnoticed longer, increasing accident risk.
High sensor-data volume. Hundreds of sensors across offshore extraction facilities generated data that had to be consolidated into a usable operational view.
Environmental compliance requirements. Offshore operations had to meet applicable environmental regulations and standards, making accurate anomaly assessment critical.
Difficulty interpreting observations. Teams needed enough information to determine whether unusual readings required further investigation.
Maintenance efficiency. Once teams identified a potential issue, they needed a more effective way to prioritize preventive work across monitored facilities and reduce reliance on reactive maintenance.

SOLUTION SUMMARY

Computools developed Subsea Prism to monitor subsea extraction facilities in real time and connected it to data from hundreds of offshore sensors. The system consolidated incoming sensor information into one dashboard, giving teams a single, current view of the monitored facilities.

Computools also developed a simulation capability using information collected with the client’s Environment department. Simulation outputs helped teams determine whether unusual readings indicated a potential anomaly or reflected ordinary observations.

The solution supported iOS access to monitoring features, allowing authorized users to review current conditions from mobile devices. Together, real-time monitoring and simulation gave teams a clearer basis for prioritizing preventive work across monitored facilities before issues required a reactive response.

IMPACT

The platform improved offshore visibility and supported faster assessment of conditions requiring attention.

Maintenance expenses decreased by 35% at monitored offshore facilities compared with the pre-deployment baseline during the evaluated project period.
Accidents decreased by 15% across the same facilities over the same comparison period.
Related non-compliance fines also decreased by 15% over the same period.
Earlier anomaly assessment supported preventive action before potentially hazardous conditions escalated.
Simulation-assisted interpretation supported environmental compliance assessment across monitored offshore operations.

WHY COMPUTOOLS

The project required combining continuous offshore sensor data, simulation functionality, and environmental compliance requirements within one production platform. Computools applied its oil and gas software development services across sensor data integration, real-time monitoring, simulation development, and collaboration with the client’s Environment department.

Before wider rollout, the team compared simulation outputs with collected sensor readings and refined the simulation logic based on those results. This validation step helped turn raw offshore data into a production-ready monitoring system for anomaly assessment and preventive action.

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STORY IN DEPTH

Background

The client already had an established subsea leak-detection business and access to large volumes of sensor information from offshore extraction facilities.

The operational problem was turning this information into a reliable real-time view. Without timely visibility, teams could identify abnormal changes too late, increasing accident risk and making preventive response harder.

Environmental requirements added another layer of complexity. Changes in sensor readings could reflect a genuine hazard or normal environmental variation, so teams needed more context before deciding how to respond.

Approach to solution

Computools began by working with the client’s Environment department to define the information required for the simulation module. The team then connected the platform to offshore sensor data and provided teams with a real-time view of current conditions.

Simulation outputs were compared with collected sensor data, allowing the team to refine the underlying logic before broader deployment.

The first release was evaluated using field feedback, sensor behavior, and simulation results before the system was scaled into production. After launch, Computools continued supporting the solution as new operational information became available.

Computools role

Computools was responsible for:

analyzing monitoring and anomaly-response requirements;
defining simulation inputs with the client’s Environment department;
integrating offshore sensor data;
developing the real-time monitoring system and simulation module;
testing simulation outputs against collected sensor data;
preparing the solution for production rollout;
providing ongoing technical support.

Key decisions and outcomes

Simulation results complemented live sensor readings, helping teams interpret unusual observations and assess environmental implications before deciding whether further investigation or action was needed.

iOS access extended monitoring functionality to mobile devices, allowing authorized users to review current conditions remotely.

DESIGN

The interface was designed around rapid interpretation of sensor conditions, anomalies, environmental context, and response priorities.

USER PERSONA → SITE MAP → WIREFRAMES → USER INTERFACE

USER PERSONA

Defining the needs of a safety and environmental professional using the platform to monitor offshore facilities.

SITE MAP

Organizing real-time sensor conditions, anomalies, simulation results, compliance information, and response workflows across offshore facilities.

WIREFRAMES

Testing real-time sensor views, anomaly workflows, simulation results, and response priorities before interface development.

USER INTERFACE

Creating a monitoring interface that helps offshore teams interpret unusual conditions and determine when further investigation or action may be needed.

DIGITAL PLATFORM & TECHNOLOGY

The platform combined Python-based simulation and data analysis with API services, time-series processing libraries, mobile integration, and containerized deployment.

Python

Supported simulation logic, sensor-data processing, and analytical workflows used across the monitoring platform.

NumPy and STUMPY

Supported numerical calculations for simulation workflows and time-series pattern analysis of sensor data.

FastAPI

Provided backend API services connecting processed sensor information, simulation results, and application interfaces.

iOS SDK

Supported mobile access to monitoring functionality for authorized iOS users.

Docker

Provided consistent deployment environments for backend services and supporting platform components.

PROJECT MANAGEMENT METHODOLOGY

Computools structured delivery in two-week Scrum iterations with regular input from technical, operational, and environmental stakeholders. Early iterations focused on data integration and simulation inputs, while later cycles covered monitoring UX, anomaly-handling workflows, iOS access, and production readiness. Stakeholder reviews informed priorities throughout delivery.

PROJECT TIMELINE

WHAT OUR CLIENT SAID

The platform gave teams a much clearer view of offshore conditions and helped us move from reactive monitoring toward earlier intervention. The improvements we saw in maintenance costs and safety outcomes confirmed the value of that approach.

- Project Sponsor, U.S. subsea safety provider