EnergySys Limited, a leading oil and gas cloud-technology provider, is proud to celebrate its 20th anniversary.
To mark the milestone, EnergySys will be providing grants of £1,000 to support the Computer, Science and Technology departments in twenty schools. The grants will be made available over the course of the next twelve months.
The schools who receive a grant will be selected by our staff and customers and announced via our social channels:
EnergySys Limited has been leading transformational change in the upstream oil and gas industry for 20 years. From our foundation, our goal has been to make oil and gas software fundamentally better. We set about reimagining production data management software from the ground up, to make is as easy to procure, use and maintain as possible.
Peter Black, Managing Director of EnergySys said: “I’d like to personally thank the team at EnergySys, our pioneering users, our partners, and our industry peers, for their unwavering support throughout the years. Without their belief and encouragement, we would not be the company we are today. We have remained true to our commitment to deliver the benefits of cloud to our entire industry, and we are honoured by the trust that each and every one of our customers places in us.”
EnergySys was one of the first to bring cloud technology to the upstream oil and gas sector. The company’s technology has been delivering transformational change to clients like BP, Santos, Chrysaor, and TAQA Bratani for twenty years.
The flexible low-or-no-code cloud-native EnergySys platform facilitates superior integration, automation and simple configuration that can drive huge efficiency gains and be as low as 5% of total cost of ownership in comparison to traditional software.
EnergySys currently manages over 50% of the North Sea production data and data for approximately 35% of North America gas. With deployments across the world, ranging from single asset players to Supermajors, the EnergySys Cloud Platform is proven to work for oil and gas companies of all sizes and complexity.
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