Highlights:
- Energy companies require a complex blend of connectivity solutions and orchestration to optimize bandwidth and costs for growing traffic; yet managing these elements into a robust, fast, and adaptive network for onboard and cloud applications remains a significant offshore challenge.
- Quvia, formerly known as Neuron, uses AI and machine learning to measure and monitor QoE in real time and dynamically manage the remote network to simultaneously optimize it—delivering seamlessly blended hybrid connectivity across multiple providers, satellite orbits and terrestrial networks at remote sites, in any conditions.
- Quvia automates connectivity management in complex environments, enabling the industry to enhance the return on their comms investment, accelerate digital transformation and enhance crew welfare with high-quality digital experiences onboard.
Reliable, high-quality connectivity is pivotal to digitalization in offshore environments. It’s the foundation for driving innovation and efficiency, ensuring safe and automated operations, and enhancing crew satisfaction.
Energy companies need a complex mix of connectivity solutions, satellite orbits and terrestrial networks, with network orchestration that routes increasing traffic volumes to optimize bandwidth and costs accordingly. However, managing all of this together to provide a hardened, fast, and adaptive network for onboard and cloud applications is challenging offshore.
Network management platforms used by the industry today typically use rules-based systems that are less suited to the remote offshore energy environment. They lack end-to-end visibility to optimize the network effectively, and they manage basic QoS, but not the actual quality of experience (QoE) for operational teams and applications.
The First AI-Powered QoE Platform for Remote Energy Operations
Quvia, formerly known as Neuron, helps accelerate digital transformation across offshore and onshore sites with the first AI-powered QoE platform for energy. The platform uses AI and machine learning to measure and monitor QoE in real time and dynamically manage the remote network to simultaneously optimize it—delivering seamlessly blended hybrid connectivity across multiple providers, satellite orbits and terrestrial networks at remote sites, in any conditions.
With Quvia, energy companies can automate connectivity management in complex environments, enhance the return on their comms investment, accelerate digital transformation and enhance crew welfare. Examples of key benefits for energy include:
- Enhance Performance: Experience faster, higher-quality connectivity performance when powered by Quvia, with a network that predicts future traffic demands, intelligently manages packets, routes traffic and optimizes bandwidth.
- Improve Agility: Automate network orchestration to dynamically allocate bandwidth and select the optimal route in sub-seconds, based on application characteristics and outcome-based use cases—enabling rapid deployment of new digital experiences.
- Increase Resilience: Automate traffic routing across one or more connectivity services for reliable coverage and reduce downtime with a truly bonded network that predicts and prevents common outages.
- Boost Crew Satisfaction: Understand trends in application demands to help determine connectivity allowances and deliver improved QoE.
- Control Costs: Streamline operations and automate network optimization to make the most of all bandwidth resources and keep within package allowances.
Breaking Down Quvia’s Solutions for QoE Visibility and Control
- Quvia Pulse: Our low-bandwidth QoE measuring and monitoring solution, Quvia Pulse, provides real-time visibility of the connectivity performance and end-user QoE at each remote site. A clear QoE score for different applications, such as operational software and tools for collaboration, browsing, streaming and IoT, gives an instant snapshot for making better operational decisions. Pulse can be deployed remotely via a docker container upload or a virtual remote server.
- Quvia 360: Our end-to-end connectivity analytics solution, Quvia 360, integrates and provides visibility for real-time connectivity data from the antennas, routers and third-party systems throughout a site’s end-to-end network. Comprehensive analytics enable data-driven decisions on improving connectivity operations and end-user QoE. In addition, network usage and consumption patterns inform bandwidth procurement and QoS policies for managing and prioritizing applications more effectively.
- Quvia Grid: Our dynamic, AI-powered network management solution, Quvia Grid, consolidates all available bandwidth – LEO, MEO, GEO, LTE and microwave – into a single pipe to optimize network resources. It multiplies and truly bonds your connectivity solutions to deliver efficiency improvements and harden your network, resulting in lower productivity costs. In addition, it makes intelligent, sub-second decisions on routine network management processes at a rate not possible without the contextual awareness or the machine learning capability Grid provides.
Enable Digital Transformation and New Crew Experiences
By understanding connectivity demand in real time, Quvia helps energy companies visualise QoE scores for different user groups and use cases to determine how connectivity performance impacts each of them. The platform uses data and AI to automate connectivity management by use case, optimizing the QoE and operational efficiency for available bandwidth. As a result, they can meet corporate and crew requirements more effectively. In addition, they can enhance use of RTOC’s (Real Time Operation Centers), as well as other key operational tasks and uses such as real-time drilling applications, ROVs (remotely operated vehicles), seismic surveys, telemedicine and more.
Interested in learning more?
- Read this Q&A with Quvia’s SVP of Energy & Enterprise Gordon Murray on the importance of embracing AI and hybrid connectivity.
- Drop us a line here to set up a demo!
