A unified 3‐D seismic workflow

Geophysics ◽  
2001 ◽  
Vol 66 (6) ◽  
pp. 1699-1713 ◽  
Author(s):  
Öz Yilmaz ◽  
Irfan Tanir ◽  
Cyril Gregory

A geophysicist who practices seismic data analysis for earth modeling and imaging in depth is overwhelmed by the prolific number of inversion methods to estimate layer velocities and delineate reflector geometries—the two constituents of a seismically defined earth model in depth. Given a specific type of structural play, the key to estimating an accurate earth model in depth, however, is a workflow that is based on a judicious combination of inversion methods appropriately selected for their robustness. We present a Unified workflow for processing, inversion, and interpretation of 3‐D seismic data that is applicable to low‐relief structures and complex structures associated with extensional and compressional tectonics. With some modifications, the workflow also is applicable to complex overburden structures associated with salt and overthrust tectonics. Although doing it right the first time is most desirable, there is never a situation where this is possible when estimating an earth model in depth, A fundamental problem with inversion for earth modeling is velocity‐depth ambiguity. This means that an error in layer velocity can be indistinguishable from an error in reflector geometry, The velocity‐depth ambiguity that is inherent to seismic inversion makes it very difficult to obtain the right answer (an adequate representation of the true geological model), let alone do it the first time. Limitations in the resolving power of the methods to estimate layer velocities that arise from the band‐limited nature of the recorded data and finite cable length used in recording further compound the problem. Additionally, traveltime picking that is needed for most velocity estimation techniques and time‐to‐depth conversion as well as picking depth horizons from depth‐migrated data to delineate reflector geometries are all adversely affected by noise present in the data. AII things Considered, we can only expect to do our best in estimating what may be called an initial model, and update this model to get an acceptable final model. The objective behind the design of the seismic workflow described in this paper is to attain the best estimate of a structurally consistent initial model based on rms velocities associated with migrated data, so as to minimize the work required to update the model. The unified workflow involves analysis of seismic data both in time and depth, and follows a pathway that starts with the application of 3‐D dip‐moveout correction and 3‐D prestack time migration to derive an rms velocity field. This is followed by estimation of an accurate, structurally consistent initial model by Dix conversion of rms velocities and interpretation of a set of depth horizons from 3‐D poststack depth migration. To update the initial model, the image gathers derived from 3‐D prestack depth migration are analyzed for residual moveout. The resulting final model is then used to perform 3‐D prestack depth migration to obtain an image volume in depth. The final phase of the workflow includes structural and stratigraphic interpretation of the image volume with the ultimate objective of obtaining a seismically derived reservoir model.

Geophysics ◽  
2003 ◽  
Vol 68 (6) ◽  
pp. 1782-1791 ◽  
Author(s):  
M. Graziella Kirtland Grech ◽  
Don C. Lawton ◽  
Scott Cheadle

We have developed an anisotropic prestack depth migration code that can migrate either vertical seismic profile (VSP) or surface seismic data. We use this migration code in a new method for integrated VSP and surface seismic depth imaging. Instead of splicing the VSP image into the section derived from surface seismic data, we use the same migration algorithm and a single velocity model to migrate both data sets to a common output grid. We then scale and sum the two images to yield one integrated depth‐migrated section. After testing this method on synthetic surface seismic and VSP data, we applied it to field data from a 2D surface seismic line and a multioffset VSP from the Rocky Mountain Foothills of southern Alberta, Canada. Our results show that the resulting integrated image exhibits significant improvement over that obtained from (a) the migration of either data set alone or (b) the conventional splicing approach. The integrated image uses the broader frequency bandwidth of the VSP data to provide higher vertical resolution than the migration of the surface seismic data. The integrated image also shows enhanced structural detail, since no part of the surface seismic section is eliminated, and good event continuity through the use of a single migration–velocity model, obtained by an integrated interpretation of borehole and surface seismic data. This enhanced migrated image enabled us to perform a more robust interpretation with good well ties.


2007 ◽  
Vol 2007 (1) ◽  
pp. 1-7
Author(s):  
Tony Johns ◽  
Carmen Vito ◽  
Raul Sarmiento

1998 ◽  
Vol 286 (1-4) ◽  
pp. 193-208 ◽  
Author(s):  
B.C. Zelt ◽  
M. Talwani ◽  
C.A. Zelt

Geophysics ◽  
2008 ◽  
Vol 73 (5) ◽  
pp. VE269-VE280 ◽  
Author(s):  
Priyank Jaiswal ◽  
Colin A. Zelt

Imaging 2D multichannel land seismic data can be accomplished effectively by a combination of traveltime inversion and prestack depth migration (PSDM), referred to as unified imaging. Unified imaging begins by inverting the direct-arrival times to estimate a velocity model that is used in static corrections and stacking velocity analysis. The interval velocity model (from stacking velocities) is used for PSDM. The stacked data and the PSDM image are interpreted for common horizons, and the corresponding wide-aperture reflections are identified in the shot gathers. Using the interval velocity model, the stack interpretations are inverted as zero-offset reflections to constrain the corresponding interfaces in depth; the interval velocity model remains stationary. We define a coefficient of congruence [Formula: see text] that measures the discrepancy between horizons from the PSDM image andtheir counterparts from the zero-offset inversion. A value of unity for [Formula: see text] implies that the interpreted and inverted horizons are consistent to within the interpretational uncertainties, and the unified imaging is said to have converged. For [Formula: see text] greater than unity, the interval velocity model and the horizon depths are updated by jointly inverting the direct arrivals with the zero-offset and wide-aperture reflections. The updated interval velocity model is used again for both PSDM and a zero-offset inversion. Interpretations of the new PSDM image are the updated horizon depths. The unified imaging is applied to seismic data from the Naga Thrust and Fold Belt in India. Wide-aperture and zero-offset data from three geologically significant horizons are used. Three runs of joint inversion and PSDM are required in a cyclic manner for [Formula: see text] to converge to unity. A joint interpretation of the final velocity model and depth image reveals the presence of a triangle zone that could be promising for exploration.


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