End to end Seismic Processing cycle time reduction using cloud native technologies

References

1. https://aws.amazon.com/kinesis/
2. https://aws.amazon.com/snowball/
3. https://aws.amazon.com/lambda/
4. https://aws.amazon.com/hpc/solution-components/
5. https://static.sched.com/hosted_files/2020riceoilgashpcconference/7b/Large%20Scale%20Seismic%20Processing%20in%20Public%20Cloud%20Presentation.pdf
6. https://a-hug.org/sc20-ahug-talk-agenda/
7. https://static.sched.com/hosted_files/2020riceoilgashpcconference/7b/3.%20Shell%20-%20Ron%20Cogswell%20-%20Rice%202020.pdf
8. https://www.lustre.org/
9. https://www.beegfs.io/c/
10. https://spectrum.ieee.org/tech-talk/computing/hardware/descartes-labs-built-a-top-500-supercomputer-from-amazon-cloud
11. https://S-cube.com
12. https://slim.gatech.edu/Publications/Public/Conferences/SEG/2019/witte2019SEGedw/witte2019SEGedw.html
13. https://www.worldoil.com/news/2020/9/9/explor-halliburton-and-aws-collaborate-on-cloud-based-seismic-data-processing
14. https://www.pipeliner.com.au/2020/12/03/woodside-delivers-seismic-results-inhours/#:~:text=Woodside%20has%20used%20large%2Dscale,150%20times%20faster%E2%80%9D%20than%20normal.
15. https://bluware.com/
16. https://docs.aws.amazon.com/ground-station/latest/ug/how-ground-station-works.html
17. https://community.opengroup.org/osdu/platform/domain-data-mgmt-services/seismic/open-vds