Ihs Global Inc.

Siesmic Micro-technology, Inc.

Clifford Lee Kelley

Yingwei Yu

Irina M Mardanova

William Vance

Robert Allison Baker, Iii

Rocky Roden

A symmetry attribute is described that may be used for determining seismic stratigraphic features in a formation. In one example, seismic input data from a formation is processed to determine an attribute by selecting a center trace, assigning a first cluster of the traces to a left image and a second cluster of the traces to a right image, and determining symmetry about the center trace between the left and the right images.

Determining seismic stratigraphic features using a symmetry attribute

Picking a fault in seismic data samples is described. In one example, a minimum spanning tree is used. In another example, input seismic attribute data is determined based on the seismic data samples. Seeds are selected that represent locations in the seismic volume using the attribute data. A principle grid is generated using the seeds. A fault is picked in the seismic volume by applying a least costs process, for example a minimum spanning tree, to the principle grid. The fault is then interpolated to generate a fault surface of the seismic volume.

Picking faults in a seismic volume using a cost function

Seismic stratigraphic features may be enhanced using orientation vectors. In one example, a process includes converting a seismic attribute section from a spatial domain to a spatial-frequency domain using a Fourier transform. For each filter in an orientation filter array, the seismic attribute section is convolved with a filter in the spatial-frequency domain. The convolution result is converted back to the spatial domain by inverse Fourier transform. For each point in the seismic section an orientation filter having a response with a maximum energy is found and the orientation is associated with the corresponding energy and the corresponding point.

Enhancing seismic features using an optical filter array

A method is disclosed for automatically extending interpreter horizon picks over a wider area of traces in such manner that the automatically generated picks are very similar to picks that an interpreter would pick manually. The method applies optical filters to seismic sections to determine the intrinsic orientation of seismic events. Seismic orientation is captured in the Orientation Vector Field, which is then used to guide the picking process.

Seismic horizon autopicking using orientation vector field

A method of managing a repeated surface comprising seismic data as one surface is disclosed where a plurality of horizons is analyzed and a determination made as to which of the plurality of horizons comprise a repeated surface. Those horizons which comprise the repeated surface may then be logically connected into a logically connected horizons data set which may then be assigned a common identifier and which may further respond similarly to a single event, e.g. a user action. It is emphasized that this abstract is provided to comply with the rules requiring an abstract which will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

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Sugar Land, TX, United States of America

Clifford Lee Kelley