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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. 

INT is pleased to announce the newest release of GeoToolkit.JS data visualization libraries and toolkit. This major release includes new 3D visualization capabilities—contour 3D, 3D shape highlighting, and better 3D seismic—and new rendering options.

As the use cases of IVAAP grow, the implementation of the data backend evolves. Past releases of IVAAP have been focused on providing data portals to our customers. Since then, a new use case has appeared where IVAAP is used to validate the injection of data in the cloud. Both use cases have a lot in common, but they differ in the way errors should be handled.

One of the most challenging data management problems faced in the industry is with seismic files. Some oil and gas companies estimate that they acquire a petabyte of data per day or more. Domain knowledge and specific approaches are required to move, access, and visualize that data. In this blog post, we will dive deep into the details of modern technology that can be useful to achieve speed up.