Automatic feature extraction from seismic cubes
AssigneeSchlumberger Technology Corporation
InventorsNader Salman, Matthieu Georges Maroun Najm
Life of this patent
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Abstract
Methods, computing systems, and computer-readable media for interpreting seismic data, of which the method includes receiving seismic data representing a subterranean volume, and determining a feature-likelihood attribute of at least a portion of a section of the seismic data. The feature-likelihood attribute comprises a value for elements of the section, the value being based on a likelihood that the element represents part of a subterranean feature. The method also includes identifying contours of the subterranean feature based in part on the feature-likelihood attribute of the section, and determining a polygonal line that approximates the subterranean feature.
Claims18
A method for interpreting seismic data, comprising:
- receiving seismic data representing a subterranean volume, at a server system;
- transmitting a section of the seismic data to a thin client device;
- determining, using the server system, a feature-likelihood attribute of at least a portion of a section of the seismic data, wherein the feature-likelihood attribute comprises values for elements of the section, the values being based on a likelihood that the individual elements represent part of a subterranean feature;
- receiving an indication of an area in the section that includes a subterranean feature from the thin client device;
- adjusting the feature-likelihood attribute, using the server system, for the indicated area in response to the area being indicated;
- identifying, using the server system, contours of the subterranean feature in the area indicated based in part on the feature-likelihood attribute of the indicated area of the section wherein identifying comprises approximating the subsurface feature as a polygon;
- determining, using the server system, a polygonal line that approximates the subterranean feature in the area indicated, wherein determining the polygonal line includes extracting vertices of the polygon;
- and
- transmitting data representing the subterranean feature in the section, based at least in part on the polygonal line, from the server system to the thin client device, wherein the thin client device causes a visualization of the section, including a representation of the subterranean feature in the section of the seismic data, to be displayed to a user.
A computing system, comprising:
- one or more processors;
- and
- a memory system comprising one or more non-transitory computer-readable media storing instructions that, when executed by at least one of the one or more processors, cause the computing system to perform operations, the operations comprising:
- receiving seismic data representing a subterranean volume, at a server system;
- transmitting a section of the seismic data to a thin client device;
- determining, using the server system, a feature-likelihood attribute of at least a portion of a section of the seismic data, wherein the feature-likelihood attribute comprises values for elements of the section, the values being based on a likelihood that the individual elements represent part of a subterranean feature;
- receiving an indication of an area in the section that includes a subterranean feature from the thin client device;
- adjusting the feature-likelihood attribute, using the server system, for the indicated area in response to the area being indicated;
- identifying, using the server system, contours of the subterranean feature in the area indicated based in part on the feature-likelihood attribute of the indicated area of the section, wherein identifying comprises approximating the subsurface feature as a polygon;
- determining, using the server system, a polygonal line that approximates the subterranean feature in the area indicated, wherein determining the polygonal line includes extracting vertices of the polygon;
- and
- transmitting data representing the subterranean feature in the section, based at least in part on the polygonal line, from the server system to the thin client device, wherein the thin client device causes a visualization of the section, including a representation of the subterranean feature in the section of the seismic data, to be displayed to a user.
A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a computing system, cause the computing system to perform operations, the operations comprising:
- receiving seismic data representing a subterranean volume, at a server system;
- transmitting a section of the seismic data to a thin client device;
- determining, using the server system, a feature-likelihood attribute of at least a portion of a section of the seismic data, wherein the feature-likelihood attribute comprises values for elements of the section, the values being based on a likelihood that the individual elements represent part of a subterranean feature;
- receiving an indication of an area in the section that includes a subterranean feature from the thin client device;
- adjusting the feature-likelihood attribute, using the server system, for the indicated area in response to the area being indicated;
- identifying, using the server system, contours of the subterranean feature in the area indicated based in part on the feature-likelihood attribute of the indicated area of the section wherein identifying comprises approximating the subsurface feature as a polygon;
- determining, using the server system, a polygonal line that approximates the subterranean feature in the area indicated, wherein determining the polygonal line includes extracting vertices of the polygon;
- and
- transmitting data representing the subterranean feature in the section, based at least in part on the polygonal line, from the server system to the thin client device, wherein the thin client device causes a visualization of the section, including a representation of the subterranean feature in the section of the seismic data, to be displayed to a user.
Dependencies are inferred from the claim text.