Patent ID: 11891882
Assignee: LANDMARK GRAPHICS CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC E  G | IPC E  G

Claim 0:
1. A method for classifying test data from downhole measurement tools, said method comprising:
determining one or more variable types in a multivariate test vector within a test data set, the test data set generated by the downhole measurement tools in a downhole environment;
for a plurality of machine-learning models, determining a closest match between variable types used by the plurality of machine-learning models and the determined one or more variable types for the multivariate test vector;
in response to determining the closest match for one of the plurality of machine-learning models, selecting a corresponding machine-learning model and classifying the multivariate test vector using the corresponding machine-learning model to determine formation properties of the downhole environment;
in response to determining the closest match for multiple machine-learning models of the plurality of machine-learning models,
determining a similarity between a probability distribution for the test data set and probability distributions for the multiple machine-learning models to generate similarity values for each of the multiple machine-learning models; and
in response to one of the similarity values exceeding a threshold value, selecting a machine-learning model corresponding to the exceeding similarity value and classifying the multivariate test vector using the selected machine-learning model to determine formation properties of the downhole environment; and

controlling well equipment by modifying operation settings of the well equipment based on the classification of the multivariate test vector.