Network optimization
Tela™ agentic-AI assistant in OptiFlow™ production assurance solutions
Overview
Tela in OptiFlow solutions helps operators optimize production networks through AI-driven analysis and digital twin technology. By continuously monitoring, simulating, and optimizing network performance, it enables proactive operations, improves efficiency, reduces risk, and supports more resilient production systems.
Challenges
- Production networks often operate with fragmented visibility across wells, facilities, and flow systems.
- Manual optimization workflows can be time-consuming and difficult to scale.
- Reactive operations can lead to inefficiencies, deferred production, and higher operating costs.
- High power consumption increases operational expenses and carbon emissions.
- Flow assurance risks, such as hydrate formation, wax deposition, erosion, and corrosion, can cause downtime and production losses.
Solution
- Create digital twins that replicate the production network and simulate flow conditions in real time.
- Continuously evaluate production scenarios using AI-driven agents.
- Optimize network performance across wells, facilities, and flow systems.
- Detect operational risks early and support proactive decision-making.
- Automate optimization workflows to improve efficiency and operational resilience.
Features
- Flow Twin Simulation – Digital twins of the production network simulate and predict flow conditions in real time.
- Agentic AI Analysis – Continuously evaluate production scenarios and recommend optimal operating configurations.
- Autonomous Workflows – Detect anomalies, trigger alerts, and execute optimization actions with minimal manual intervention.
Benefits
- Optimize Production Performance – Balance flow, pressure, and lift conditions across the network to maximize production output.
- Reduce Energy Consumption and Emissions – Apply intelligent adjustments that lower power usage and reduce carbon footprint.
- Improve Operational Resilience – Detect erosion, corrosion, and flow assurance risks early to prevent costly downtime.
- Enable Proactive Operations – Move from reactive responses to continuous monitoring and optimization.
- Sustain Long-Term Efficiency – Continuously improve network performance through ongoing optimization and automated decision support.
