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Accelerate Exploration and Production (E&P) Innovation without Infrastructure Constraints

AWS provides the most elastic and scalable cloud infrastructure to run High Performance Computing (HPC) applications. With virtually unlimited capacity, engineers and researchers can innovate beyond the limitations of on-premises HPC infrastructure. AWS delivers an integrated suite of services that provides everything needed to build HPC clusters to run the most compute intensive workloads like seismic processing, reservoir simulation, and computational fluid dynamics.
In this webinar, we show how AWS is democratizing HPC and how customers can innovate faster than ever before. We’ll feature two AWS partners, S-Cube and Stone Ridge Technology, to speak about specific use cases around seismic processing and reservoir simulation.
Srinivas Tadepalli leads the Business Development and GTM strategy for HPC at AWS focusing on O&G and broader Energy workloads. He has over 15 years of experience in developing HPC applications using finite element and volume methods. He holds a Ph.D. in Computational Mechanics.
Nikhil Shah is the CEO at S-Cube. He read Mathematics at the University of Cambridge before completing a PhD at Imperial College London (Earth Science and Engineering). He joined Chevron USA in Exploration Geophysics R&D in 2013 responsible for improving the seismic velocity model building workflow with time-domain Full Waveform inversion which he led from proof of concept to roll out on acreage offshore Brazil and Nigeria. He founded S-Cube in 2017 for fast-tracking next-generation Full Waveform Inversion algorithm development and cloud deployment for exploration, production and carbon storage applications.
Vincent Natoli is the president and founder of Stone Ridge Technology. He is a computational physicist with 30 years of experience in the field of high-performance computing. He holds Bachelors and Masters degrees from MIT, a PhD in Physics from the University of Illinois Urbana-Champaign and a Masters in Technology Management from the Wharton School at the University of Pennsylvania.

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