CPC E21B 47/0025 (2020.05) [G01V 3/20 (2013.01); G06F 18/214 (2023.01); G06N 3/04 (2013.01); G06N 3/063 (2013.01); E21B 47/12 (2013.01)] | 15 Claims |
1. A system comprising:
a processor; and
a memory including instructions that are executable by the processor for causing the processor to:
generate a training dataset using a three-dimensional model, the three-dimensional model being for simulating a tool in a geological subterranean formation;
train a machine-learning model based on the training dataset to generate a trained machine-learning model, the machine-learning model being different than the three-dimensional model, the training dataset including a first set of borehole images correlated to a second set of borehole images, the second set of borehole images being less precise versions of the first set of borehole images;
execute the trained machine-learning model in relation to an input borehole image to receive a corrected borehole image as output from the trained machine-learning model, the corrected borehole image being a visually corrected version of the input borehole image, wherein the input borehole image is a two-dimensional digital image that includes colored pixels representing a property of a subterranean formation into which a borehole is drilled for extracting hydrocarbons from the subterranean formation, and wherein the corrected borehole image is also a two-dimensional digital image; and
generate a graphical user interface that includes the corrected borehole image for display on a display device.
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