Recursive inversion and attribute analysis of 3D seismic data over a four-way dip structure, Gulf of Thailand

2018 ◽  
Author(s):  
S. Thanatit
Keyword(s):  
Seismic Data ◽  
Gulf Of Thailand ◽  
3D Seismic ◽  
Attribute Analysis ◽  
3D Seismic Data

Identification of polygonal faulting from legacy 3D seismic data in vintage Gulf of Mexico data using seismic attributes

2021 ◽  
pp. 1-17
Author(s):  
Karen M. Leopoldino Oliveira ◽  
Heather Bedle ◽  
Karelia La Marca Molina
Keyword(s):  
Seismic Data ◽  
Seismic Attributes ◽  
Fault System ◽  
3D Seismic ◽  
Seismic Attribute ◽  
Variable Amplitude ◽  
Attribute Analysis ◽  
Amplitude Data ◽  
3D Seismic Data ◽  
Polygonal Fault

We analyzed a 1991 3D seismic data located offshore Florida and applied seismic attribute analysis to identify geological structures. Initially, the seismic data appears to have a high signal-to-noise-ratio, being of an older vintage of quality, and appears to reveal variable amplitude subparallel horizons. Additional geophysical analysis, including seismic attribute analysis, reveals that the data has excessive denoising, and that the continuous features are actually a network of polygonal faults. The polygonal faults were identified in two tiers using variance, curvature, dip magnitude, and dip azimuth seismic attributes. Inline and crossline sections show continuous reflectors with a noisy appearance, where the polygonal faults are suppressed. In the variance time slices, the polygonal fault system forms a complex network that is not clearly imaged in the seismic amplitude data. The patterns of polygonal fault systems in this legacy dataset are compared to more recently acquired 3D seismic data from Australia and New Zealand. It is relevant to emphasize the importance of seismic attribute analysis to improve accuracy of interpretations, and also to not dismiss older seismic data that has low accurate imaging, as the variable amplitude subparallel horizons might have a geologic origin.

Fault imaging in sparsely sampled 3D seismic data using common-reflection-surface processing and attribute analysis - a study in the Upper Rhine Graben

2014 ◽  
Vol 62 (3) ◽  
pp. 443-452 ◽  
Author(s):  
Hermann A. Buness ◽  
Hartwig von Hartmann ◽  
Hanna-Maria Rumpel ◽  
Charlotte M. Krawczyk ◽  
Rüdiger Schulz
Keyword(s):  
Seismic Data ◽  
Upper Rhine Graben ◽  
3D Seismic ◽  
Surface Processing ◽  
Rhine Graben ◽  
Attribute Analysis ◽  
Common Reflection Surface ◽  
Upper Rhine ◽  
3D Seismic Data

Applications of texture attribute analysis to 3D seismic data

2006 ◽  
Vol 25 (8) ◽  
pp. 934-940 ◽  
Author(s):  
Satinder Chopra ◽  
Vladimir Alexeev
Keyword(s):  
Seismic Data ◽  
3D Seismic ◽  
Attribute Analysis ◽  
3D Seismic Data
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