Oilfield data file classification and information processing systems
AssigneeSchlumberger Technology Corporation
InventorsSupriya Gupta, Saniya Karnik, David Saier
Life of this patent
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Abstract
A method includes generating a structured data object from a plurality of data files in a data repository, preprocessing the structured data object based on one or more features from the structured data object, executing an unsupervised machine-learning technique to identify one or more clusters of data files from the plurality of data files in the data repository, presenting at least one set of text from the one or more clusters to a user along with a word cloud for each of the one or more clusters, and receiving one or more labels for respective clusters of the one or more clusters.
Claims20
A method, comprising:
- generating a structured data object from a plurality of data files in a data repository;
- preprocessing the structured data object based on one or more features from the structured data object;
- executing an unsupervised machine-learning technique to identify one or more clusters of data files from the plurality of data files in the data repository;
- presenting at least one set of text from the one or more clusters to a user along with a word cloud for each of the one or more clusters;
- and
- receiving one or more labels for respective clusters of the one or more clusters.
A computing system, comprising:
- one or more processors;
- and
- a memory system including one or more non-transitory, computer-readable media storing instructions that, when executed by at least one of the one or more processors cause the computing system to perform operations, the operations comprising:
- generating a structured data object from a plurality of data files in a data repository;
- preprocessing the structured data object based on one or more features from the structured data object;
- executing an unsupervised machine-learning technique to identify one or more clusters of data files from the plurality of data files in the data repository;
- presenting at least one set of text from the one or more clusters to a user along with a word cloud for each of the one or more clusters;
- and
- receiving one or more labels for respective clusters of the one or more clusters.
A non-transitory, computer-readable medium storing instructions that, when executed by at least one processor of a computing system, cause the computing system to perform operations, the operations comprising:
- generating a structured data object from a plurality of data files in a data repository;
- preprocessing the structured data object based on one or more features from the structured data object;
- executing an unsupervised machine-learning technique to identify one or more clusters of data files from the plurality of data files in the data repository;
- presenting at least one set of text from the one or more clusters to a user along with a word cloud for each of the one or more clusters;
- and
- receiving one or more labels for respective clusters of the one or more clusters.
Dependencies are inferred from the claim text.