We describe a cloud-native, fully fault-tolerant redesign of computationally intensive seismic high-performance computing (HPC) algorithms specifically optimized for execution across multiple Kubernetes clusters utilizing preemptible or spot market compute instances. We use the simultaneous inversion of velocity and pre-stack reflectivity algorithm as an example and demonstrate the compute and IO scalability of Kubernetes clusters when applied to high-frequency seismic inversion problems. Our strategy paves the way for advanced seismic imaging and inversion that delivers high-quality earth models in a cost-effective manner while reducing the cycle time of production projects.
This content is only available via PDF.
Copyright 2024, Society of Exploration Geophysicists and the American Association of Petroleum Geologists
You can access this article if you purchase or spend a download.
