Process for displaying N dimensional data in an N-1 dimensional format
AssigneeExxon Production Research Company
InventorTracy J. Stark
Life of this patent
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AssigneeExxon Production Research Company
InventorTracy J. Stark
Estimating the term…
A process for generating a surface slice for use in understanding or comprehending the internal structure of a multi-dimensional data volume and specifically a three-dimensional seismic data volume. The surface slice is a local N-1 dimensional representation of the internal structure of N dimensional data, where N represents the original dimension of the data volume. Information from the Nth-dimension is preserved in the N-1 dimensional surface slices. An arbitrary surface intersecting surfaces through the data volume is selected. A variant, an identifiable attribute of data which forms the surfaces of finite extent throughout the data volume, is also selected and isolated to identify the surface. Variants can include, but are not limited to, peaks, troughs, local peaks, local troughs, plus-to-minus zero crossings, and minus-to-plus zero crossings. Isolated variants from the arbitrary surface are combined into the arbitrary surface with isolated variants surrounding the arbitrary surface to create the surface slice. Isolated variants identified by their position in the data volume generate a time surface slice. Both quantitative and qualitative information on the local strike, local dip direction and dip magnitude of the intersecting surface are present. Isolated variants identified in any other manner generate an amplitude surface slice presenting both quantitative and qualitative information on the local strike and dip magnitude of the intersecting surface.
A process for generating local N-1 dimensional representations of a class of surfaces in an N-dimensional data set wherein N represents the number of data dimensions and N is a positive integer greater than two, which comprises
The process in accordance with claim wherein said arbitrary surface is a seismic reflection horizon.
A process for generating local N-1 dimensional representations of a class of surfaces in an N-dimensional data set, wherein N represents the number of data dimensions and N is a positive integer greater than two, which comprises selecting the class of surfaces by selecting a variant, wherein said variant is any identifiable and isolatable attribute of the data which forms a surface of some finite extent throughout the data volume, selecting a manner in which to represent the existence and non-existence of said variant, locating the existence of and representing in said manner all occurrences of said variant within the N-dimensional data set, selecting a number of adjacent data samples, and copying said occurrences of said variant to said number of adjacent data samples to generate the local N-1 dimensional representation of the class of surfaces.
A process for generating local N-1 dimensional representations of a class of surfaces in an N-dimensional data set wherein N represents the number of data dimensions and N is a positive integer greater than two, which comprises
Dependencies are inferred from the claim text.