Apparent horizontal displacements in time‐lapse seismic images

Author(s):  
Dave Hale ◽  
Barbara Cox ◽  
Paul Hatchell
2011 ◽  
Author(s):  
Sergio E. Zarantonello ◽  
Bonnie Smithson ◽  
Youli Quan

Geophysics ◽  
2009 ◽  
Vol 74 (5) ◽  
pp. V99-V107 ◽  
Author(s):  
Dave Hale

Reliable estimates of vertical, inline, and crossline components of apparent displacements in time-lapse seismic images are difficult to obtain for two reasons. First, features in 3D seismic images tend to be locally planar, and components of displacement within the planes of such features are poorly resolved. Second, searching directly for peaks in 3D crosscorrelations is less robust, more complicated, and computationally more costly than searching for peaks of 1D crosscorrelations. I estimate all three components of displacement with a process designed to mitigate these two problems. I address the first problem by computing for each image sample a local phase correlation instead of a local crosscorrelation. I address the second problem with a cyclic sequence of searches for peaks of correlations computed for lags constrained to one of the three image axes.


2009 ◽  
Author(s):  
Leonardo de Oliveira Martins ◽  
Pedro Mario Silva ◽  
Marcelo Gattass

Author(s):  
Leonardo De Oliveira Martins ◽  
Pedro Mario Silva ◽  
Marcelo Gattass

Geophysics ◽  
2010 ◽  
Vol 75 (3) ◽  
pp. R61-R73 ◽  
Author(s):  
Gboyega Ayeni ◽  
Biondo Biondi

Two related formulations are proposed for target-oriented joint least-squares migration/inversion of time-lapse seismic data sets. Time-lapse seismic images can be degraded when reservoir overburden is complex or when acquisition geometries significantly differ, because the migration operator does not compensate for the resulting amplitude and phase distortions. Under these circumstances, time-lapse amplitudes are poor indicators of production-related changes in reservoir properties. To correct for such image degradation, time-lapse imaging is posed as joint inverse problems that utilize concatenations of target-oriented approximations to the linear least-squares imaging Hessian. In both formulations, spatial and temporal constraints ensure inversion stability and geologically consistent time-lapse images. Using two numerical time-lapse data sets, we confirmed that these formulations can attenuate illumination artifacts caused by complex overburden or geometry differences, and that they yield better-quality images than obtainable with migration.


Geophysics ◽  
2013 ◽  
Vol 78 (3) ◽  
pp. B147-B158 ◽  
Author(s):  
Jintan Li ◽  
Christopher Liner ◽  
Po Geng ◽  
Jianjun Zeng

Time-lapse seismic modeling is routinely used to detect the state of hydrocarbon reservoirs at periodic time intervals. The Dickman field located in the U. S. midcontinent provides two possible [Formula: see text] sequestration targets: a regional deep saline reservoir is the primary objective, and a shallower, mature, depleted oil reservoir is a secondary objective. The goal of this work is to characterize and simulate monitoring of the [Formula: see text] movement before, during, and after its injection into these sequestration targets, including fluid flow paths, reservoir property changes, [Formula: see text] containment, and postinjection stability. Seismic images before, during, and after injection would improve understanding of the carbonate sequestration process and management. Our seismic simulation for time-lapse [Formula: see text] monitoring was based on flow simulator output over a 250-year injection and simulation period. The seismic response was accomplished via convolutional (1D) forward modeling. This work will provide an evaluation for the effectiveness of 4D seismic monitoring in providing assurance of long-term [Formula: see text] containment.


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