METHOD AND SYSTEM FOR SEISMIC SIGNAL DENOISING WITH VIRTUAL SUPER GATHERS

Abstract: examples of methods and systems are disclosed. the methods may include receiving seismic data regarding a subsurface region of interest, wherein the seismic data comprises a plurality of time-space waveforms, and generating, using statistical sampling, a plurality of pilot waveforms based on the plurality of time-space waveforms. the methods may also include forming a training seismic dataset comprising an input training dataset and an output training dataset, wherein the input training dataset is based on the plurality of time-space waveforms and the output training dataset is based on the plurality of pilot waveforms. the methods may further include training, using the seismic processing system and the training seismic dataset, a machine-learning (ml) model to predict the output training dataset, at least in part, from the input training dataset.

Inventor(s): Daniele Colombo, Taqi Yousuf Alyousuf, Ersan Turkoglu, Ernesto Sandoval-Curiel

CPC Classification: G01V1/366 (GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS (means for indicating the location of accidentally buried, e.g. snow-buried, persons ))

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