USING DEEP-LEARNING MODELS TO AUTOMATICALLY IDENTIFY SUBSURFACE RESERVOIR BOUNDARIES IN REAL TIME
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United States of America
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Apr 10, 2025
app pub date -
Jul 31, 2024
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Jul 31, 2024
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Abstract
A computer-implemented method for automatically determining subsurface reservoir boundaries of a wellbore subsurface reservoir in a drilling system that include receiving an inversion image that forms part of an electromagnetic inversion result profile that indicates subsurface measurements captured by a downhole resistivity sensor. The method also includes generating an image mask for the inversion image using an ensemble image model that enables initial image masks outputted from multiple image-to-image machine-learning models into the image mask. The method additionally includes augmenting the inversion image with subsurface boundaries based on the image mask to generate an augmented inversion image. The method further includes generating at least one of: one-dimensional, two-dimensional, and three-dimensional representations of a subsurface area which indicate geological features and properties of the wellbore subsurface reservoir and adjusting a drilling parameter of a downhole drill within the wellbore subsurface reservoir based on the augmented inversion image.
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