Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression
Reexamination Certificate
2005-09-27
2005-09-27
Paladini, Albert W. (Department: 2125)
Data processing: structural design, modeling, simulation, and em
Modeling by mathematical expression
C702S016000
Reexamination Certificate
active
06950786
ABSTRACT:
A workstation stores a novel seismic classification software package (known as the “Seisclass software”). During execution of the Seisclass software by a processor of the workstation, the workstation processor will present a plurality of attribute data, describing the characteristics of a geological feature, simultaneously as “attribute data sets” and as “points in attribute space”. Characteristic groupings and attribute dependencies can be detected, either automatically or with manual support using a-priori knowledge. Clusters, groups of data sharing particular characteristics, are classified, either automatically or with manual support. The classification result is presented as a “class data set” allowing the association of the attribute characteristics with data set positions. The type of attributes and their dependencies may allow a classification of a geological feature, such as a sub-surface, with respect to its reservoir properties, such reservoir properties including, for example, the possible existence of underground hydrocarbon deposits in an earth formation.
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Gehrmann Thomas
Sonneland Lars
Bouchard John
Maseles Danita
Paladini Albert W.
Schlumberger Technology Corporation
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