SeisFlows—Flexible waveform inversion software
Autor: | Dmitry Borisov, Matthieu Lefebvre, Ryan Modrak, Jeroen Tromp |
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Rok vydání: | 2018 |
Předmět: |
010504 meteorology & atmospheric sciences
business.industry Computer science Inversion (meteorology) Python (programming language) 010502 geochemistry & geophysics Supercomputer 01 natural sciences Computational science Software Workflow Medical imaging Computers in Earth Sciences Default - option business computer Massively parallel 0105 earth and related environmental sciences Information Systems computer.programming_language |
Zdroj: | Computers & Geosciences. 115:88-95 |
ISSN: | 0098-3004 |
Popis: | SeisFlows is an open source Python package that provides a customizable waveform inversion workflow and framework for research in oil and gas exploration, earthquake tomography, medical imaging, and other areas. New methods can be rapidly prototyped in SeisFlows by inheriting from default inversion or migration classes, and code can be tested on 2D examples before application to more expensive 3D problems. Wave simulations must be performed using an external software package such as SPECFEM3D. The ability to interface with external solvers lends flexibility, and the choice of SPECFEM3D as a default option provides optional GPU acceleration and other useful capabilities. Through support for massively parallel solvers and interfaces for high-performance computing (HPC) systems, inversions with thousands of seismic traces and billions of model parameters can be performed. So far, SeisFlows has run on clusters managed by the Department of Defense, Chevron Corp., Total S.A., Princeton University, and the University of Alaska, Fairbanks. |
Databáze: | OpenAIRE |
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