Integration of Seismic and Well Log Data Using Vertical Seismic Profile: ABSTRACT

AAPG Bulletin ◽  
1985 ◽  
Vol 69 ◽  
Author(s):  
Tom Goforth, Laurent Moinard
Geophysics ◽  
1999 ◽  
Vol 64 (5) ◽  
pp. 1630-1636 ◽  
Author(s):  
Ayon K. Dey ◽  
Larry R. Lines

In seismic exploration, statistical wavelet estimation and deconvolution are standard tools. Both of these processes assume randomness in the seismic reflectivity sequence. The validity of this assumption is examined by using well‐log synthetic seismograms and by using a procedure for evaluating the resulting deconvolutions. With real data, we compare our wavelet estimations with the in‐situ recording of the wavelet from a vertical seismic profile (VSP). As a result of our examination of the randomness assumption, we present a fairly simple test that can be used to evaluate the validity of a randomness assumption. From our test of seismic data in Alberta, we conclude that the assumption of reflectivity randomness is less of a problem in deconvolution than other assumptions such as phase and stationarity.


Geophysics ◽  
2021 ◽  
pp. 1-87
Author(s):  
Bo Yu ◽  
Hui Zhou ◽  
Wenling Liu ◽  
Lingqian Wang ◽  
Hanming Chen

Reasonable low-wavenumber initial models are essential for reducing the non-uniqueness of seismic inversion. A traditional approach to estimating the low-wavenumber models of elastic parameters is well-log interpolation. However, complex geological structures decrease the accuracy of this method. To overcome these challenges in building prior models, we propose an interpolation method based on pattern-feature correlation inspired by multiple-point geostatistics (MPG). In the proposed interpolation method, we scan a stacked seismic profile using a predefined data template to obtain a geological pattern around each node in the seismic profile. Each pattern is then converted into several filter-scores with the filters defined in the MPG algorithm of the filter-based simulation (FILTERSIM). We calculate the correlation coefficients of the filter-scores among different patterns for the various nodes and define them as the pattern feature correlations (PFCs). We construct the initial models from well-log data based on the weighted interpolation method, where the weighting factors are precisely determined by the PFCs. We build the initial models using the proposed method for both synthetic and field data to demonstrate its effectiveness. To verify the validity of the initial models, we apply them to Bayesian linearized inversion. The accuracy of the interpolation and inversion results verify the excellent performance of the proposed interpolation method. The proposed method provides a novel and convenient approach that combines seismic and well-log data, which contributes to both seismic exploration and geological modeling.


Geophysics ◽  
1995 ◽  
Vol 60 (5) ◽  
pp. 1495-1513 ◽  
Author(s):  
Greg Ball

Chevron (operator), Teikoku Oil, and Unocal hold the offshore Zaire concession, West Africa. Recently, Unocal performed an anisotropic 3-D prestack depth migration in an attempt to optimally image tilted fault blocks in the presalt section. Depth migration was required because large‐displacement faults juxtaposed a high‐velocity massive carbonate and a low‐velocity marl. Large compressional‐wave anisotropy caused by thin layering was inferred for most of the depth section. Evidence on the nature and magnitude of the anisotropy came from comparing stacking velocities with well velocities, analyzing a multioffset vertical seismic profile (VSP), thin‐layer modeling in the massive carbonate using well log data, and rock physics laboratory velocity measurements on core from the marl. The subsurface was characterized as being locally transversely isotropic and the Thomsen parameters were used to describe the anisotropy. This required that five parameters be specified at each subsurface location to represent the compressional‐wave 3-D velocity field. The observed anisotropy deviated far from the elliptical condition, and modeling indicated that isotropic migration would exhibit misfocusing and mispositioning of events, and its quality would be dip‐dependent. The anisotropic migration was performed using Kirchhoff summation for which the traveltimes were determined using a finite‐difference scheme. Interpreted horizons in the migrated depth section accurately tied well depths.


Geophysics ◽  
1994 ◽  
Vol 59 (7) ◽  
pp. 1171-1171
Author(s):  
Miodrag M. Roksandic

Hinds et al.’s paper is an interesting case history describing the acquisition and interpretive processing of VSP data and presenting an integrated interpretation of well log, surface seismic, and vertical seismic profile data. However, a question of principle arises. What is an integrated interpretation?


1990 ◽  
Vol 45 (2) ◽  
pp. 181-203
Author(s):  
F. Glangeaud ◽  
P. Durand ◽  
J. L. Mari ◽  
F. Coppens

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