As a long-standing OSDU Forum Member, INT has worked closely with the OSDU development teams to ensure seamless integration of IVAAP visualization of OSDU data on all major cloud providers. Houston, TX – March 24, 2021 – INT is pleased to announce our partnership with The Open Group OSDU™ Forum as part of the new […]
The oil and gas industry is historically one of the first industries generating actionable data in the modern sense. For example, the first seismic imaging was done in 1932 by John Karcher. Since that first primitive image, seismic data has been digitized and has grown exponentially in size. It is usually represented in monolith data sets which may span in size from a couple of gigabytes to petabytes if pre-stack. The long history, large amount of data, and the nature of the data pose unique challenges that often make it difficult to take advantage of advancing cloud technology. Here is a high-level overview of the challenges of working with oil and gas data and some possible solutions to help companies take advantage of the latest cloud technologies.
Interactive Network Technologies, Inc. (INT) a leader in advanced domain visualization in digital exploration and production (E&P) and Bluware Corp., the digital platform that enables the oil and gas industry to accelerate digital transformation initiatives and adopt cloud computing for subsurface data, are pleased to announce the integration of Volume Data Store (VDS), a data format with adaptive streaming technology for seismic data storage, into IVAAP, an upstream data visualization platform.
As a non-developer living in a developer world, I wanted to understand more about why we develop our software to work with Kubernetes. So I sat down with INT’s Senior Product Manager Steven Reynolds and Senior Architect James Velasco to learn more about Kubernetes and the advantages of working with it.
Over the last few months, there have been a lot of activities and discussions with upstream majors on how to make subsurface data easier to search and discover and how to automate some of the geophysical and/or petrophysical workflows. This process has typically been very challenging. From a user experience perspective, the ideal scenario would be to do this from one system versus doing this very manually from current siloed applications. We’ve been able to do this successfully here at INT.