Abstract: Provided herein is a device suitable for sweet spot-based machine learning (SSML). There is further provided a processing method in association with completion-based machine learning (COMML). The device can include an input portion configured to receive at least one output signal, the output signal based on at least one production data normalized based on geology and geophysics (G&G)-based data. The device can further include a processing portion coupled to the input portion, the processing portion configured to process the output signal by manner of machine learning-based processing to produce at least one prediction signal, wherein the prediction signal corresponds to at least one visually perceivable graphics-based signal displayable as a three-dimensional (3D) productivity volume for identifying at least one sweet spot location for placement of a structure.