Abstract: A method can include accessing a trained machine model as trained to analyze digital seismic data of a region with respect to a structural feature of a geologic region; analyzing at least a portion of the digital seismic data using the trained machine model to generate results; and outputting the results as indicators of spatial locations of the structural feature of the geologic region.

Abstract: A method can include accessing a trained machine model as trained to analyze digital seismic data of a region with respect to a structural feature of a geologic region; analyzing at least a portion of the digital seismic data using the trained machine model to generate results; and outputting the results as indicators of spatial locations of the structural feature of the geologic region.

Abstract: Embodiments of the present disclosure include one or more of a method, computing device, computer-readable medium, and system for statistical line and edge detection and/or enhancement. An example embodiment of the present disclosure may include a method that includes identifying a plurality of data values related to a first object defined by a first plurality of points within the volume, wherein the first object intersects a second object defined by a second plurality of points within the volume; calculating a statistical significance statistic related to the second object; interpolating a P-value related to the statistical significance statistic; and determining a significant P-value taken over the second object, wherein the significant P-value comprises a minimum P-value that provides a maximum negative log(P(statistical significance statistic)).

Abstract: Embodiments of the present disclosure include one or more of a method, computing device, computer-readable medium, and system for statistical line and edge detection and/or enhancement. An example embodiment of the present disclosure may include a method that includes identifying a plurality of data values related to a first object defined by a first plurality of points within the volume, wherein the first object intersects a second object defined by a second plurality of points within the volume; calculating a statistical significance statistic related to the second object; interpolating a P-value related to the statistical significance statistic; and determining a significant P-value taken over the second object, wherein the significant P-value comprises a minimum P-value that provides a maximum negative log (P(statistical significance statistic)).

Abstract: Methods, systems, and computer-readable media for analyzing a domain are provided. The method includes defining a mask plane that includes a first dimension of a first number of voxels and a second dimension of a second number of voxels, and selecting a plurality of first angles for orientating the mask plane in the domain with respect to a first axis. The method also includes for each one of the plurality of first angles selected populating, using one or more processors, sum cubes associated with each one of a first plurality of subject voxels. The method also includes selecting a plurality of second angles, and for each one of the plurality of second angles selected, calculating a planar sum for each one of a second plurality of subject voxels selected.

Abstract: A method for visualizing seismic data of a subterranean formation, including obtaining an estimated dip field of the subterranean formation, wherein the estimated dip field represents a measure of deviation of a stratigraphic layer from flat, extracting a matrix data item surrounding a voxel of the seismic data, wherein the matrix data item is extracted from the seismic data based on a value of the estimated dip field surrounding the voxel, generating modified seismic data by at least applying a matrix operator to the seismic data, wherein the matrix operator calculates a partial derivative of the seismic data using the matrix data item, and displaying the modified seismic data.

Abstract: A method can include, within a neighborhood, selecting a sample seismic trace and neighboring seismic traces, individually time shifting each of the neighboring seismic traces with respect to the sample seismic trace to determine a set of individual time shift values that correspond to individual maximum cross correlation values for each of the neighboring seismic traces with respect to the sample seismic trace, determining series of inline direction and crossline direction first derivative values for the set of time shift values, determining an inline average dip value and a crossline average dip value based on the series of first derivative values, and storing to a memory storage device, coordinates for the sample seismic trace, the inline average dip value, and the crossline average dip value. Various other apparatuses, systems, methods, etc., are also disclosed.

Abstract: Embodiments of the present disclosure include one or more of a method, computing device, computer-readable medium, and system for statistical line and edge detection and/or enhancement. An example embodiment of the present disclosure may include a method that includes identifying a plurality of data values related to a first object defined by a first plurality of points within the volume, wherein the first object intersects a second object defined by a second plurality of points within the volume; calculating a statistical significance statistic related to the second object; interpolating a P-value related to the statistical significance statistic; and determining a significant P-value taken over the second object, wherein the significant P-value comprises a minimum P-value that provides a maximum negative log(P(statistical significance statistic)).

Abstract: A method for visualizing seismic data of a subterranean formation, including obtaining an estimated dip field of the subterranean formation, wherein the estimated dip field represents a measure of deviation of a stratigraphic layer from flat, extracting a matrix data item surrounding a voxel of the seismic data, wherein the matrix data item is extracted from the seismic data based on a value of the estimated dip field surrounding the voxel, generating modified seismic data by at least applying a matrix operator to the seismic data, wherein the matrix operator calculates a partial derivative of the seismic data using the matrix data item, and displaying the modified seismic data.