HIGH-RESOLUTION EARTH MODELING USING ARTIFICIAL INTELLIGENCE

摘要

Aspects of the present disclosure relate to using artificial intelligence for high-resolution earth modeling. Embodiments include receiving training data, comprising: wellbore attributes relating to a plurality of depth points; and adjacent waveform data relating to a first plurality of directions with respect to each depth point of the plurality of depth points. Embodiments include providing at least a subset of the training data as inputs to a machine learning model. Embodiments include receiving outputs from the machine learning model based on the inputs. Embodiments include iteratively adjusting parameters of the machine learning model based on the outputs and the training data.