| CPC G06N 20/00 (2019.01) [G01V 20/00 (2024.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2431 (2023.01); G01V 2210/66 (2013.01)] | 20 Claims |
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1. A system comprising:
a processor; and
a non-transitory memory device comprising instructions that are executable by the processor to cause the processor to perform operations comprising:
receiving geological or geophysical data collected for hydrocarbon exploration from a plurality of subterranean formations;
generating, using the geological or geophysical data, a plurality of training data sets used to train machine-learning models, each training data set of the plurality of training data sets including a portion of the geological or geophysical data and one or more training classes, each training class being defined by a probability distribution and representing a classification of the portion of the geological or geophysical data;
receiving a test data set including geological or geophysical data of a subterranean formation;
selecting a training data set from the plurality of training data sets by comparing the test data set with the probability distribution of each training class of the one or more training classes of the training data set;
determining a trained machine-learning model trained using the selected training data set;
generating an output representing a recommendation to execute the trained machine-learning model to classify the test data set; and
displaying, based on a result of executing the trained machine-learning model on the test data set, an interface presenting a classification of the test data set that is usable for hydrocarbon exploration.
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