TGS is launching a new open-source solution for Multidimensional Input/Output (MDIO) energy data using cloud-friendly formats for minimized data storage and higher efficiency.

MDIO is a solution developed by TGS for quickly accessing and disseminating data on the cloud. This new data format and associated tools have been specifically designed to support storing and manipulating multidimensional datasets, including seismic, wind, and other energy data. It allows for innovative growth in various applications, including seismic and renewable energy solutions, and the algorithms' continued evolution to benefit other industry sectors.

Open-source software is software with source code released under a license granting users the rights to use, study, change, and distribute the software and its source code to anyone and for any purpose. 

Jan Schoolmeesters, Executive Vice President of Digital Energy Solutions at TGS, said: 
"We have spent significant time and effort in establishing a more secure, efficient and cost-effective solution for users and are pleased to launch the MDIO. The revolutionary format is used to store data in the cloud saving at least 20-30% percent in costs and is highly performant in consuming seismic data. In addition, MDIO sets the stage to accomplish seismic and AI/ML workflows on the cloud cost-effectively and with vastly improved latency. We realize this is very important for the energy data community, which is why we want to open source the MDIO core code so that everyone can benefit from it and contribute back. Our goal is a rapid adoption of MDIO as an industry standard and to enable developers and operators to roll out and operate MDIO with agility, complete visibility of the underlying code, and security in all environments.

We look forward to working with the MDIO community and our partners toward these goals." 

TGS values innovation and promotes collaboration. As a result, releasing the MDIO source code in an open-source format underpins those principles allowing developers to utilize and modify the code as needed. This makes it possible for individuals to use the code in beneficial ways inside and outside the energy industry, offering a stepstone for developers and users to chart a path for more efficient use of volumetric data.

MDIO was built to easily access any multidimensional data that is highly performant structured or random I/O, with fast de-coupled metadata access. The solution fits well in the cloud, on-prem or hybrid environments, and it is cloud native (object store) and portable. In addition, MDIO is distributed compute-ready, and the underlying tools are well documented and community supported. 

KeyFactsEnergy Industry Directory: TGS