BOREHOLE IMAGE BLENDING THROUGH MACHINE LEARNING

Aspects of the subject technology relate to systems, methods, and computer-readable media for controlling borehole imaging blending through machine learning. A blending parameter machine learning model can be trained through a supervised machine learning technique with a dataset of known input and known output associated with an electromagnetic imager tool. The blending parameter machine learning model is associated with an image blending technique for blending images generated through the electromagnetic imager tool at different frequencies. One or more blending parameters for the image blending technique can be identified by applying the blending parameter machine learning model to measurements of the electromagnetic imager tool operating to log a wellbore across a plurality of frequencies. One or more blended images can be generated by applying the image blending technique according to the one or more blending parameters to a plurality of images of the measurements made by the electromagnetic imager tool.