Systems and methods for identifying subsurface features as a function of position in a subsurface volume of interest

A computer-implemented method for identifying subsurface features as a function of position in a subsurface volume of interest, the method being implemented in a computer system that comprises a physical computer processor and electronic storage, the method comprising:

• obtaining, from the electronic storage, a conditioned subsurface feature model comprising tiers of elements, the conditioned subsurface feature model having been generated by applying the initial subsurface feature model to the training subsurface data and the training subsurface feature data, wherein the tiers comprise a first tier comprising structural identification elements corresponding to training structural identification values and a second tier, dependent on the structural identification values, comprising categorization elements corresponding to training categorization values, wherein the training subsurface data comprises subsurface energy values, wherein the training subsurface feature data comprises the training structural identification values defined by structural identification parameters and corresponding training categorization values defined by categorization parameters and one of the training structural identification values;
• obtaining, from the non-transient electronic storage, target subsurface data comprising a subsurface energy value as a function of position in the subsurface volume of interest;
• and
• generating, with the physical computer processor, target subsurface feature data by applying the first conditioned subsurface feature model to the target subsurface data, wherein the target subsurface feature data comprises a target structural identification value defined by the structural identification parameters as a function of position in the subsurface volume of interest and a corresponding target categorization value defined by the categorization parameters and the target structural identification value as a function of position in the subsurface volume of interest.

A system for identifying subsurface features as a function of position in a subsurface volume of interest, the system comprising:

• electronic storage;
• and
• a physical computer processor configured by machine readable instructions to:
• obtain, from the electronic storage, a conditioned subsurface feature model comprising tiers of elements, the conditioned subsurface feature model having been generated by applying the initial subsurface feature model to the training subsurface data and the training subsurface feature data, wherein the tiers comprise a first tier comprising structural identification elements corresponding to training structural identification values and a second tier, dependent on the structural identification values, comprising categorization elements corresponding to training categorization values, wherein the training subsurface data comprises subsurface energy values, wherein the training subsurface feature data comprises the training structural identification values defined by structural identification parameters and corresponding training categorization values defined by categorization parameters and one of the training structural identification values;
• obtain, from the non-transient electronic storage, target subsurface data comprising a subsurface energy value as a function of position in the subsurface volume of interest;
• and
• generate, with the physical computer processor, target subsurface feature data by applying the first conditioned subsurface feature model to the target subsurface data, wherein the target subsurface feature data comprises a target structural identification value defined by the structural identification parameters as a function of position in the subsurface volume of interest and a corresponding target categorization value defined by the categorization parameters and the target structural identification value as a function of position in the subsurface volume of interest, wherein the target structural identification value and the corresponding target categorization value are based on a subset of the target subsurface data.