A method can include receiving spatially located geophysical data of a geologic region as acquired by one or more sensors; solving a system of equations for multi-dimensional implicit function values within a multi-dimensional space that represents the geologic region where the system of equations are subject to a smoothness constraint and subject to a weighted curvature minimization criterion at a plurality of spatially located points based on the spatially located geophysical data; and rendering to a display, a structural model of the geologic region based at least in part on the multi-dimensional implicit function values where the structural model characterizes stratigraphy of the geologic region.

A method, apparatus, and program product render a seismic slice in real time and in a computationally-efficient manner using a displacement mapping technique implemented in one or more programmable shaders of a graphics processing unit (GPU), e.g., using programmable shaders in a GPU to perform both tessellation and displacement of primitives in connection with rendering a displacement-mapped visualization of the seismic slice for display in an interactive 3D visualization environment.

A method is disclosed and includes receiving a seismic cube. The seismic cube includes a three-dimensional image of a portion of a subsurface area. The method further includes providing the seismic cube to a machine learning process. The machine learning process includes one or more neural networks used for predicting a location of a subsurface seismic layer in the received seismic cube. The method also includes receiving, from the machine learning process, the prediction of the location of the subsurface seismic layer in the seismic cube.

A computer-implemented method for detecting at least one natural contour of a geologic object in 3D seismic data may comprise: (a) receiving at least one first predetermined data set from said 3D seismic data comprising a plurality of phase events; (b) selecting at least one first seed phase event having a first phase characteristic from said plurality of phase events; (c) determine a characterizing score between said selected at least one first seed phase event and each one of a predetermined number of candidate phase events of said at least one first predetermined data set; (d) assigning said characterizing score to each one of said predetermined number of candidate phase events; (e) adjusting said characterizing score of at least one of said predetermined number of candidate phase events in accordance with at least one first boundary condition; (f) determining at least one natural contour between said at least one first seed phase event and at least a second phase event, utilizing an optimization algorithm; (g) generating a visual representation of said at least one natural contour within said at least one first predetermined data set.

Systems and methods for interpreting and visualizing multi-Z horizons from seismic data are disclosed. A two-dimensional (2D) representation of seismic data is displayed via a graphical user interface (GUI). User input is received via the GUI for interpreting a multi-Z horizon within a portion of the displayed 2D representation. The user's input is tracked relative to displayed 2D representation within the GUI. Based on the tracking, each of a plurality of surfaces for the multi-Z horizon is determined. At least one intersection point between the multi-Z horizon surfaces is identified. A depth position for each surface relative to other surfaces is determined. The 2D representation of the seismic data is dynamically updated to include visual indications for the plurality of surfaces and the intersection point(s), based on the depth position of each surface, where the visual indications use different visualization styles to represent the surfaces and intersection point(s).

Enhanced seismic velocity models are generated using a geomechanical model. A tomographic velocity model is generated based on raw seismic data. One or more initial seismic images are generated based at least partially on the tomographic velocity model. Geomechanical data and the initial seismic images are used to generate a geomechanical model. The geomechanical model produces geomechanical outputs that are used to generate a geomechanical velocity model. A second tomographic velocity model is generated based on the first tomographic velocity model and the geomechanical velocity model.

Methods, systems, and computer-readable media for processing seismic data. The method includes receiving a plurality of seismic traces representing a subterranean domain, and receiving an implicit stratigraphic model of at least a portion of the subterranean domain. The method also includes selecting an iso-value in the implicit stratigraphic model, and defining, using a processor, a geologically-consistent interval in the implicit stratigraphic model based at least partially on a position of the iso-value in the implicit stratigraphic model. The method further includes calculating one or more attributes of the plurality of seismic traces in the interval.

A method of analysing seismic data from a geological structure. The method includes determining a set of tiles from a data cube of seismic data and determining which tiles of the set of tiles can be grouped into one or more patches of tiles.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, to generate a custom seismic surface and volume attribute. In one aspect, a method includes receiving a seismic cube and a seismic surface, and the seismic cube includes traces recorded at receivers deployed to collect seismic data. The seismic surface is picked on the seismic cube. Seismic wavelets are extracted with a selected length from the seismic cube along an intersection with the seismic surface for each spatial coordinate associated with the seismic surface. A reference wavelet is determined. A surface attribute map is generated based on comparing each of the seismic wavelets to the reference wavelet. A productivity of the seismic surface is evaluated using the surface attribute map.

Disclosed are methods, systems, and computer-readable medium to perform operations including: decomposing the seismic data into a plurality of sub-volumes, each sub-volume associated with a respective one of the plurality of frequency components; identifying a portion of the seismic data that includes one or more multiples, the multiples being seismic data associated with multiply reflected seismic energy; identifying, based on the plurality of sub-volumes, the one or more multiples within the portion of the seismic data; and determining, from the plurality of frequency components, a single frequency that gives rise to a predetermined continuity along a primary reflector affected by the one or more multiples.