Apparent horizontal displacements in time‐lapse seismic images

2008 ◽  
Author(s):  
Dave Hale ◽  
Barbara Cox ◽  
Paul Hatchell
Keyword(s):  
Time Lapse ◽  
Seismic Images ◽  
Horizontal Displacements

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

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.

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.

Convolutional time-lapse seismic modeling for CO2 sequestration at the Dickman oilfield, Ness County, Kansas

Geophysics ◽  
2013 ◽  
Vol 78 (3) ◽  
pp. B147-B158 ◽  
Author(s):  
Jintan Li ◽  
Christopher Liner ◽  
Po Geng ◽  
Jianjun Zeng
Keyword(s):  
Time Lapse ◽  
Primary Objective ◽  
Seismic Modeling ◽  
Flow Paths ◽  
Secondary Objective ◽  
Property Changes ◽  
4D Seismic ◽  
Flow Simulator ◽  
Seismic Images

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.

Sign in / Sign up

Export Citation Format

Share Document