Abstract: A dataset is received from a data source. A first plurality of string similarities between metadata of the dataset with a plurality of attributes of a plurality of data classes in a target schema are calculated to determine a data class. A set of relationships are assigned to the data class based on relationships between the plurality of data classes in the target schema. A second plurality of string similarities between a plurality of attributes of the dataset and a plurality of attributes of the data class are calculated. Datatypes and measurement units are assigned to the plurality of attributes of the dataset according to the second plurality of string similarities. A source schema is generated based on the data class, the set of relationships, the plurality of attributes of the data class and the measurement units.

Abstract: A method includes obtaining a digital seismic file, obtaining a digital seismic file, and performing autodetection of parameters of the digital seismic file. The method further includes extracting seismic data from the digital seismic file according to the parameters to generate normalized seismic data. The method further includes scanning the normalized seismic data to obtain metadata that includes geographic file boundaries and mapping the normalized seismic data to a parent virtual survey based at least in part on the geographic file boundaries being in a geographic region of a parent virtual survey. The method additionally includes storing, in a target store, the normalized seismic data and metadata, the normalized seismic data in a stored relationship with the parent virtual survey in the target store.

Abstract: A dataset is received from a data source. A first plurality of string similarities between metadata of the dataset with a plurality of attributes of a plurality of data classes in a target schema are calculated to determine a data class. A set of relationships are assigned to the data class based on relationships between the plurality of data classes in the target schema. A second plurality of string similarities between a plurality of attributes of the dataset and a plurality of attributes of the data class are calculated. Datatypes and measurement units are assigned to the plurality of attributes of the dataset according to the second plurality of string similarities. A source schema is generated based on the data class, the set of relationships, the plurality of attributes of the data class and the measurement units.