A method for estimating apparent displacement vectors from time‐lapse seismic images

2007 ◽  
Author(s):  
Dave Hale
Keyword(s):  
Time Lapse ◽  
Apparent Displacement ◽  
Displacement Vectors ◽  
Seismic Images

A method for estimating apparent displacement vectors from time-lapse seismic images

Geophysics ◽  
2009 ◽  
Vol 74 (5) ◽  
pp. V99-V107 ◽  
Author(s):  
Dave Hale
Keyword(s):  
Time Lapse ◽  
Phase Correlation ◽  
3D Seismic ◽  
Local Phase ◽  
Apparent Displacement ◽  
Displacement Vectors ◽  
Cyclic Sequence ◽  
Seismic Images ◽  
Three Components

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.

Super resolution of time-lapse seismic images

2011 ◽  
Author(s):  
Sergio E. Zarantonello ◽  
Bonnie Smithson ◽  
Youli Quan
Keyword(s):  
Super Resolution ◽  
Time Lapse ◽  
Seismic Images

An Application of Optical Flow to Time-Lapse Analysis in 2-D Seismic Images

2009 ◽  
Author(s):  
Leonardo de Oliveira Martins ◽  
Pedro Mario Silva ◽  
Marcelo Gattass
Keyword(s):  
Optical Flow ◽  
Time Lapse ◽  
Seismic Images

An Application Of Optical Flow To Time-Lapse Analysis In 2-D Seismic Images

2009 ◽  
Author(s):  
Leonardo De Oliveira Martins ◽  
Pedro Mario Silva ◽  
Marcelo Gattass
Keyword(s):  
Optical Flow ◽  
Time Lapse ◽  
Seismic Images

Target-oriented joint least-squares migration/inversion of time-lapse seismic data sets

Geophysics ◽  
2010 ◽  
Vol 75 (3) ◽  
pp. R61-R73 ◽  
Author(s):  
Gboyega Ayeni ◽  
Biondo Biondi
Keyword(s):  
Least Squares ◽  
Seismic Data ◽  
Time Lapse ◽  
Data Sets ◽  
Reservoir Properties ◽  
Phase Distortions ◽  
Time Lapse Imaging ◽  
Least Squares Migration ◽  
Seismic Images ◽  
Degradation Time

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.

Description of Chemotactic Cell Migration via Optical Flow Methods

2000 ◽  
Author(s):  
Lisa Choi ◽  
John G. Georgiadis ◽  
Alan R. Horwitz
Keyword(s):  
Image Processing ◽  
Cell Migration ◽  
Optical Flow ◽  
Cell Motility ◽  
Time Lapse ◽  
Objective Analysis ◽  
Processing Methods ◽  
Time Lapse Microscopy ◽  
Displacement Vectors ◽  
Flow Image

Abstract The application of optical flow image processing methods in the quantification of cell migration on substrates is reported here. By extracting pixel-based displacement vectors from time-lapse microscopy, this technique allows the accurate and objective analysis of the cell motility process.

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