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

High-resolution 3D seismic imaging and refined velocity model building improve the image of a deep geothermal reservoir in the Upper Rhine Graben

2020 ◽  
Vol 39 (12) ◽  
pp. 857-863
Author(s):  
Nicolas Salaun ◽  
Helene Toubiana ◽  
Jean-Baptiste Mitschler ◽  
Guillaume Gigou ◽  
Xavier Carriere ◽  
...  
Keyword(s):  
Seismic Data ◽  
Large Scale ◽  
Model Building ◽  
Geothermal Reservoir ◽  
Seismic Survey ◽  
Upper Rhine Graben ◽  
3D Seismic ◽  
Rhine Graben ◽  
Future Production ◽  
Upper Rhine

Over the past 35 years, geothermal projects have been developed in the Upper Rhine Graben (URG) to exploit deep geothermal energy. Underneath approximately 2 km of sedimentary deposits, the deep target consists of a granitic basement, which is highly fractured and hydrothermally altered. Therefore, it has high potential as a geothermal reservoir. Despite dense 2D seismic data coverage originally acquired for oil exploration (for a target two-way traveltime between 300 and 700 ms), the faults at the top of the granitic basement (between 1400 and 4000 ms) are poorly imaged, and their locations remain uncertain. To gain a better understanding of this large-scale faulting and to ensure the viability of future geothermal projects, a 3D seismic survey was acquired in the French part of the URG during the summer of 2018. This paper describes how an integrated project, combining seismic data processing, high-end imaging, and enhanced interpretation, was conducted to improve the understanding of this complex basin for geothermal purposes. By revealing the deep granite layer and its complex associated fault network, the insight from this project can help accurately locate future production wells.

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.

scholarly journals Application of common reflection surface (CRS) to velocity variation with azimuth (VVAz) inversion of the relatively narrow azimuth 3D seismic land data

Open Physics ◽  
2021 ◽  
Vol 19 (1) ◽  
pp. 439-446
Author(s):  
Lucky Kriski Muhtar ◽  
Wahyu Triyoso ◽  
Fatkhan Fatkhan
Keyword(s):  
Seismic Data ◽  
Interpolation Method ◽  
Velocity Variation ◽  
3D Seismic ◽  
Hydrocarbon Migration ◽  
The Real ◽  
Spot Area ◽  
Amplitude Versus Offset ◽  
Common Reflection Surface ◽  
3D Seismic Data

Abstract The fracture direction and its intensity are critical properties related to hydrocarbon characterization and identification. Both these properties have an essential role in identifying the direction of hydrocarbon migration, determining the sweet spot area, and optimizing the drilling design. The velocity variation with azimuth (VVAz) is a well-known method to estimate the fracture direction and its intensity. This method is of widespread interest because it predicts the properties based on seismic data without any practical constraints. Despite this interest, the technique requires rich azimuth 3D seismic data in our case, which is rare. This study aims to apply regularization and interpolation by including the wave front attributes based on the Common Reflection Surface (CRS) method before the VVAz inversion. The motivation of using the CRS method is to enrich the current azimuth of the 3D seismic data and improve the S/N ratio. The synthetic and the real 3D seismic data are evaluated to examine the interpolation scheme of the proposed CRS method’s performance. Based on the evaluation of the 3D seismic data after regularization, the amplitude versus offset (AVO) phenomena, and the VVAz inversion results are relatively consistent (or matched) with the model. A similar result is found for the case of real 3D seismic data. A significant positive correlation between the fracture intensity of FMI and the real seismic data of about 0.9 is obtained. Therefore, CRS can be used as a regularization and interpolation method before the VVAz inversion of the relatively narrow azimuth 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
Sign in / Sign up

Export Citation Format

Share Document