Logistics Control Tower

This solution was developed to enable real-time operational monitoring, enhancing decision-making in logistics movements and operations. This tool increases the efficiency and capacity of assets, improves predictability and planning, and contributes to both cost reduction and revenue growth. The platform also allows for the strategic use of information generated by various other systems, with alert mechanisms implemented to ensure that management can act proactively and promptly in critical areas requiring intervention.

OPERATIONAL EFFICIENCY

1) Optimization of logistics infrastructure increases the company’s ability to reposition itself strategically in the oil and gas market by boosting productivity, standing out among competitors, enhancing brand image, and increasing revenue for future investments. This advancement is directly aligned with the guidelines of Transpetro’s Strategic Plan 2050 and Business Plan 2025–2029.

2) Implementation of online monitoring of key midstream assets, aimed at optimizing logistics and maximizing the flow of liquids (oil and derivatives). Additionally, the project seeks to reduce costs associated with vessel dwell time through preventive identification of potential logistical disruptions and standardized diligence for ongoing logistics events, efficient planning of supplies and related services (laboratories and Quality Assurance), as well as proactive management of operational asset maintenance.

3) Full integration with all systems in Transpetro’s logistics chain, optimizing professional performance by minimizing repetitive tasks and allowing teams to focus on critical analysis and strategic decision-making.

FINANCIAL IMPACT

1) Reduction in vessel demurrage costs: 0.5% savings on delays and logistical inefficiencies.

2) Increase in liquid throughput: 0.1% growth in total volume handled, contributing to improved company revenue.

3) Reduction in person-hour effort: Less time spent on analysis and reduced impact across multiple related systems.

COMPLIANCE & AUDIT

1) Complete audit trail: Detailed history of event processing.

Software:

- Meteoceanographic Information System

- Operational Scheduling System

- Inventory, Operational Movements, and Quality Control System

- Control Room Management System

- AI-Based Berthing Forecast System

- Nautical Traffic Control System

- Operational Downtime Management System

- Ship Operational Data Monitoring System

- Pipeline and Terminal Operational Data Monitoring System

- Corporate Information Repository System

- Visualization System

Equipment:

- Control Tower Operator Console (Monitors and associated hardware)

Auxiliary Systems:

- Cloud-hosted environment

- Container-based architecture

- APIs

- Database

- Third-party system for alert management and dashboard creation (AlertOPS)

The complexity of the project lies in:

- Integration of multiple systems (via APIs) and databases, while adhering to architectural standards and without modifying source systems;

- Requirement for multidisciplinary teams and agile delivery cycles;

- Specific configuration of the alert system and integration with existing tools;

- A detailed schedule, covering phases such as requirements gathering, development, integration, testing, and system sustainment;

- Management of active contracts with software development vendors;

- High complexity of business rules, requiring precise modeling and validation;

- Close collaboration with business areas, ensuring alignment between technical implementation and operational needs.

The project involves the implementation of a Logistics Control Tower, with the development of services that consolidate information from the most critical stages of the liquid logistics chain. Real-time operational monitoring will enable more assertive decision-making, greater asset efficiency, improved ship queue management, and assurance of deliveries. The system integrates data from multiple sources, generating alerts and correlated information to support management. The scope includes operational restrictions, maintenance tracking, incident monitoring, vessel constraints, test results, management dashboards, and operational tracking—without redefining data structures of integrated systems or requiring new hardware acquisitions.

A total of 7 macro-scopes and 45 specific requirements were defined, as outlined below:

RN1 – Maintenance Status and Forecast

RN1.1 – Scheduled Maintenance vs. Approved Downtime; RN1.2 – Maintenance Status; RN1.3 – Scheduled Maintenance vs. Operational Planning; RN1.4 – Maintenance Change Alerts; RN1.5 – Planning vs. Scheduled Maintenance.

RN2 – Pipelines and Terminals Restrictions

RN2.1 – Project Restrictions; RN2.2 – Alert: Start of Operational Restriction; RN2.3 – Alert: End of Operational Restriction; RN2.4 – Planning vs. Restrictions; RN2.5 – Alert: Planning vs. Restriction; RN2.6 – Restriction Impact Attribute.

RN3 – Operational Incidents

RN3.1 – Incident Query; RN3.2 – Incident Criticality; RN3.3 – Incident Alerts; RN3.4 – Alert Subscription; RN3.5 – Planning vs. Incident; RN3.6 – Incident Acknowledgment; RN3.7 – Alert Based on Restriction.

RN4 – Vessel Restrictions

RN4.1 – Project Restrictions; RN4.2 – Alert: Start of Restriction; RN4.3 – Alert: End of Restriction; RN4.4 – Planning vs. Restrictions; RN4.5 – Operational Conditions Checklist; RN4.6 – Incident Criticality Classification; RN4.7 – Alert Based on Incident; RN4.8 – Alert Acknowledgment; RN4.9 – Escalation List Alerts.

RN5 – Test Results

RN5.1 – Test Results Query; RN5.2 – Out-of-Specification Alerts; RN5.3 – Planning vs. Results; RN5.4 – Planning Classification; RN5.5 – Out-of-Spec Alert Acknowledgment.

RN6 – Management Dashboard

RN6.1 – Planning vs. Execution; RN6.2 – Planning Status; RN6.3 – Planning Status Alerts; RN6.4 – Vessel Status; RN6.5 – Contextual Comments in the Monitoring Dashboard.

RN7 – Operational Monitoring

RN7.1 – Operations and Movements; RN7.2 – Operational Variables; RN7.3 – Flow and Accumulated Volume Graphs vs. Planning; RN7.4 – Planning Data: Instantaneous Flow, Accumulated Volume, Remaining Volume; RN7.5 – Pumping Start and End Forecast; RN7.6 – Vessel Dwell Time: Start/End and Unberthing Forecast; RN7.7 – Dwell Time Alerts.