Abstract: The present disclosure generally relates to synthesizing one or more properties for optimizing one or more operations in a well. Embodiments include receiving measurements or qualitative indicators of one or more parameters in association with performing operations in the well. Embodiments include providing, based on the measurements, one or more inputs to a machine learning algorithm (MLA) that has been trained using historical or training well data. Embodiments include determining, based on one or more outputs from the MLA, one or more synthesized properties relating to the well, wherein the one or more synthesized properties comprise a synthesized pore-pressure at, near, or ahead of a bit position. Embodiments include determining, based on the one or more synthesized properties, one or more optimized parameters relating to at least one of: drilling the well; steering the well; or stimulating a reservoir.