Robust low frequency seismic bandwidth extension via a deep neural network trained on synthetic seismic data

Abstract

Systems and methods are disclosed. The method includes collecting a seismic dataset from a seismic survey and generating a plurality of synthetic datasets each including an input seismic dataset with a first bandwidth and an associated target seismic dataset with a second, broader, bandwidth, that includes lower frequencies than the first bandwidth. Each synthetic dataset is generated in a time domain and includes an event with a geometric shape and a wavelet. The method also includes splitting the plurality of synthetic datasets into a training set; selecting and training a first machine-learned model with a first architecture, to receive the seismic dataset and output another seismic dataset with extended bandwidth relative to the seismic dataset. The method further includes using the first machine-learned model to produce an extended bandwidth seismic dataset from the seismic dataset; and determining a location of a hydrocarbon reservoir using the extended bandwidth seismic dataset.