1887

Abstract

Summary

Increasing the productivity of seismic imaging workflow through efficient simulation pipelines is a mandatory task for any Oil & Gas company nowadays. In this work, we propose a GPGPU pipeline for fast synthesis of seismic data that encompasses high-performance geostatistical simulation of rock properties and efficient numerical propagation of acoustic waves to deliver a large data set of 3D seismic cubes with spatially-varying properties, enabling the training and assessment of recently-proposed neural network architectures for seismic inversion.

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/content/papers/10.3997/2214-4609.201903292
2019-10-07
2024-04-25
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