A GPGPU pipeline for fast synthesis of 3D seismic

Abstract

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.