TRANSFER LEARNING FOR ML-ASSISTED SEISMIC INTERPRETATION

Abstract: a method includes receiving field seismic data that represents a subsurface, identifying features in the field seismic data using a machine learning model that was trained using at least one first synthetic seismic data set that includes one or more features and one or more labels of the features, and at least one second synthetic seismic data set, the first and second synthetic seismic data sets both generated based on a geological model. noise is injected into the second synthetic seismic data based on the geological model. the method also includes generating a model of the subsurface based at least in part on the features that were identified in the field seismic data using the machine learning model.

Inventor(s): Adam Niven Shumaker, Arvind Sharma

CPC Classification: G01V1/282 (Processing seismic data, e.g. for interpretation or for event detection ( takes precedence))

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