1. A method comprising, using at least one processor: accessing well data, including well test data, from a first set of one or more existing wells; accessing syntactic data associated with the well data, wherein the syntactic data includes volume of clay material data, total volume data, shale volume data, porosity data or permeability data; training one or more syntactic models from the well data and syntactic data, wherein the one or more syntactic models includes a volume of clay material relative to total volume (VCL) model, an effective porosity model or a permeability model; training a pay zone predictor model using the well test data, the syntactic data, and at least some of the well data, wherein the pay zone predictor model is configured to predict at least one pay zone in at least one well, and wherein the well test data used to create the pay zone predictor model includes water cut data.