Abstract: A method may include obtaining seismic data regarding a geological region of interest. The seismic data may include various pre-processed gathers. The method may further include obtaining a machine-learning model that is pre-trained to predict migrated seismic data. The method may further include selecting various training gathers based on a portion of the pre-processed gathers, a migration function, and a velocity model. The method may further include generating a trained model using the training gathers, the machine-learning model, and a machine-learning algorithm. The method may further include generating a seismic image of the geological region of interest using the trained model and a remaining portion of the seismic data.

Abstract: Artefacts arising from imperfect extrapolation of a data set subjected to filtering operation are removed by forming a model of the extrapolated data, performing a filtering process on the model and the data set to form a filtered model and a filtered data set, and adaptively subtracting the filtered model from the filtered data set. The adaptive subtraction may employ a least-square error filter.

Abstract: Artefacts arising from imperfect extrapolation of a data set subjected to filtering operation are removed by forming a model of the extrapolated data, performing a filtering process on the model and the data set to form a filtered model and a filtered data set, and adaptively subtracting the filtered model from the filtered data set. The adaptive subtraction may employ a least-square error filter.