Time‐lapse image registration using the local similarity attribute

Fomel, Sergey; Jin, Long

doi:10.1190/1.2793090

Cited by 18 publications

(25 citation statements)

References 14 publications

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“…Nowadays, the computers are more powerful, so it has become possible to use numerous local models. It has even been computationally possible to consider, for each moment t 0 , a model x(t, ⃗ c(t 0 )) which is the best fit for some neighborhood of t 0 [2,5,4].…”

Section: What If Signals Are Sometimes Notmentioning

confidence: 99%

“…For example, in [2,5] this approach helped to enhance oil recovery by providing a clearer picture of how oil migrated in the (natural) reservoir rock (where oil accumulates before going into the production well).…”

Section: What If Signals Are Sometimes Notmentioning

confidence: 99%

“…The papers [2,5] use a semiheuristic approach to process the corresponding models. Let us show that -similarly to smoothing -these semi-heuristic techniques can be explained as a natural formalization of the expert rules.…”

Section: What If Signals Are Sometimes Notmentioning

confidence: 99%

See 2 more Smart Citations

How geophysicists’ intuition helps seismic data processing

Gholamy¹,

Kreinovich²

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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In geophysics, signals come with noise. It is desirable to minimize the effect of this noise. If we knew the probabilities of different values of signal and noise, we could use statistical filtering techniques. In geophysics, however, we rarely know the exact values of these probabilities; instead, we have to rely on the expertise and intuition of experts. We show how fuzzy techniques can transform this expertise into precise de-noising methods, we explain that the resulting methods indeed satisfy several natural requirements, and that these methods are in good accordance with heuristic techniques successfully used by geophysicists.

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Section: What If Signals Are Sometimes Notmentioning

confidence: 99%

Section: What If Signals Are Sometimes Notmentioning

confidence: 99%

See 1 more Smart Citation

How geophysicists’ intuition helps seismic data processing

Gholamy¹,

Kreinovich²

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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show abstract

“…For example, ideas related to registration include traveltime delay based on crosscorrelations (Luo and Schuster, 1991), image registration using optimal transport (Haker and Tannenbaum, 2001), curve registration (Ramsay and Li, 1998), registration using local similarities (Fomel and Jin, 2009;Fomel and van der Baan, 2010), and dynamic time warping for speech pattern matching (Sakoe and Chiba, 1978). Finding traveltime discrepancies between two traces is not a trivial problem, especially for multiple waves with different traveltime discrepancies.…”

Section: Introductionmentioning

confidence: 99%

Velocity estimation via registration-guided least-squares inversion

2014

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Least-squares (LS) acoustic-waveform inversion often suffers from a very narrow basin of attraction near the global minimum. To mitigate this problem, we evaluated an iterative inversion scheme in which the notion of proximity of two traces is not the usual LS distance, but instead it involves registration as in image processing. Observed data were matched to predicted waveforms via piecewise-polynomial warpings, obtained by solving a nonconvex optimization problem in a multiscale fashion from low to high frequencies. This multiscale process required defining lowfrequency augmented signals to seed the frequency sweep at zero frequency. Custom adjoint sources were then defined from the warped waveforms. The new method, referred to as registration-guided least-squares, was successfully applied to a few scenarios of model velocity estimation in the transmission setting. We determined that the new method can converge to the correct model in situations in which conventional LS inversion suffers from cycle skipping and converges to a spurious model.

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“…Fomel and Backus (2003) introduce a least-squares optimization method for multicomponent data registration, but this method requires a good initial guess. The local similarity attribute is used for registering time-lapse images in Fomel and Jin (2009). Hale (2013) computes time shifts in a robust and efficient manner with an improvement of a dynamic warping method originally developed for speech recognition, which he applies to the registration of P-P and P-S time-migration images.…”

Section: Introductionmentioning

confidence: 99%

Image registration guided wavefield tomography for shear wave velocity model building

Yang

Shang

Malcolm

et al. 2014

SEG Technical Program Expanded Abstracts 2014

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Multicomponent acquisitions offer the opportunity to form elastic migration images and to estimate elastic parameters of the subsurface. Compared with better constrained P-wave velocity inversions, it is more difficult to estimate the S-wave velocity due to strong nonlinearities introduced by converted S-waves. We have developed an iterative S-wave velocity inversion method guided by image registration. Given an accurate P-wave velocity and a simple initial S-wave model, we form P-P and P-S images using elastic reverse time migration. We use image registration to find the shifts between the P-S and P-P images. The S-wave velocity model could be updated iteratively by minimizing the differences between the original and the fractionally warped P-S images. A simple layered model and a modified Marmousi model are used to demonstrate the viability of the new method. In both examples, high-quality P-S images, as well as smooth S-wave velocity models, are inverted efficiently with a homogeneous S-wave initial model.

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Time‐lapse image registration using the local similarity attribute

Cited by 18 publications

References 14 publications

How geophysicists’ intuition helps seismic data processing

How geophysicists’ intuition helps seismic data processing

Velocity estimation via registration-guided least-squares inversion

Image registration guided wavefield tomography for shear wave velocity model building

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