Abstract: Methods, computing systems, and computer-readable media for a machine learning method of modeling fault-related properties of a geological region are presented. The techniques include: obtaining seismic geological data for a geological region; obtaining from a user identifications of a plurality of faults in the geological region; automatically generating values for descriptors of respective faults of the plurality of faults; automatically partitioning faults of the plurality of faults into a plurality of groups according to the values for the descriptors; obtaining a mapping of respective groups of the plurality of groups to modeling parameter values; applying the mapping to a fault in the geological region outside of the plurality of faults to obtain a modeling parameter value for the fault outside of the plurality of faults; and modeling a fault-related property of the geological region based on the modeling parameter value for the fault outside of the plurality of faults.

Abstract: A method for performing a field operation of a field. The method includes identifying, inside a volume of interest representing a portion of the field, that a first surface segment is truncated by a second surface segment, where each of the first surface segment and the second surface segment corresponds to a geological feature in the field, generating, based at least on a first implicit function, an extended first surface segment that includes the first surface segment and a first extension of the first surface segment, generating a number of compartments by dividing the volume of interest using at least the extended first surface segment and the second surface segment, merging, based on a common boundary of at least two of the compartments being within an invalid portion of the extended first surface segment, the at least two compartments into a single merged compartment, and performing, based at least on the single merged compartment, modeling of the field to generate a modeling result.

Abstract: Methods, computing systems, and computer-readable media for modeling a subterranean volume, of which the methods include receiving data representing a geology of the subterranean volume, calculating a mesh for a digital model of the subterranean volume, generating the digital model using the mesh and the data, wherein generating the digital model comprises defining an implicit function for isostratigraphic surfaces of the subterranean volume. calculating values for a plurality of data points in the model using the implicit function, determining a discrepancy value for the individual data points, identifying a sample domain in the digital model, determining a refined implicit function for the sample domain, and modeling the subterranean volume using the refined implicit function for the sample domain and the implicit function for an area outside of the sample domain in the digital model.

Abstract: Methods, computing systems, and computer-readable media for modeling a subterranean volume, of which the methods include receiving data representing a geology of the subterranean volume, calculating a mesh for a digital model of the subterranean volume, generating the digital model using the mesh and the data, wherein generating the digital model comprises defining an implicit function for isostratigraphic surfaces of the subterranean volume. calculating values for a plurality of data points in the model using the implicit function, determining a discrepancy value for the individual data points, identifying a sample domain in the digital model, determining a refined implicit function for the sample domain, and modeling the subterranean volume using the refined implicit function for the sample domain and the implicit function for an area outside of the sample domain in the digital model.

Abstract: A method for performing a field operation of a field. The method includes identifying, inside a volume of interest representing a portion of the field, that a first surface segment is truncated by a second surface segment, where each of the first surface segment and the second surface segment corresponds to a geological feature in the field, generating, based at least on a first implicit function, an extended first surface segment that includes the first surface segment and a first extension of the first surface segment, generating a number of compartments by dividing the volume of interest using at least the extended first surface segment and the second surface segment, merging, based on a common boundary of at least two of the compartments being within an invalid portion of the extended first surface segment, the at least two compartments into a single merged compartment, and performing, based at least on the single merged compartment, modeling of the field to generate a modeling result.