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In recent work, data-driven sweet spotting technique for shale playspreviously explored with vertical wells has been proposed. Here, we extend thistechnique to multiple formations and formalize a general data-driven workflowto facilitate feature extraction from vertical well logs and predictivemodeling of horizontal well production. We also develop an experimentalframework that facilitates model selection and validation in a realisticdrilling scenario. We present some experimental results using this methodologyin a field with 90 vertical wells and 98 horizontal wells, showing that it canachieve better results in terms of predictive ability than kriging of knownproduction values.

A data-driven workflow for predicting horizontal well production using vertical well logs