Abstract
Three-dimensional seismic data is notoriously challenging to visualize effectively and analyze efficiently due to its huge volumetric format and highly complex nature. This process becomes even more complicated when attempting to analyze machine learning results produced from seismic datasets and see how such results relate back to the original data. SIERA presents a solution to this problem through visualizing seismic data in an extended reality environment as highly customizable 3D data visualizations, and via physical movement, allow one to easily navigate these large, 3D information spaces effectively. This allows for a more immersive and intuitive way to interact with seismic data and machine learning results, providing an improved experience over conventional analytics tools.
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CITATION STYLE
Lawton, B., Sloan, H., Abou Gharib, P., Maurer, F., Guarido De Andrade, M., Fathalian, A., & Trad, D. (2020). SIERA: The Seismic Information Extended Reality Analytics Tool. In ISS 2020 - Companion - Proceedings of the 2020 Conference on Interactive Surfaces and Spaces (pp. 73–77). Association for Computing Machinery, Inc. https://doi.org/10.1145/3380867.3426223
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