Dynamic warping of seismic images

Hale, Dave

doi:10.1190/geo2012-0327.1

Cited by 275 publications

(133 citation statements)

References 14 publications

(14 reference statements)

Supporting

Mentioning

132

Contrasting

Order By: Relevance

“…We will discuss how to specify the constraint bounds of ds∕dτ in computing the shifts. One potential problem of the common DTW method (Hale, 2013; is that the estimated shifts are limited to integers, which may not be sufficient to accurately correlate the synthetic and real seismograms. We use the smooth DTW method, proposed by Compton and Hale (2014), to compute smoothly varying shifts, which are often more accurate than those from the common DTW method, as suggested by Muñoz and Hale (2015).…”

Section: Dtwmentioning

confidence: 99%

“…The shifts sðτÞ are often large and nonlinear ) and therefore are difficult to estimate using windowed crosscorrelation methods. The DTW method, first proposed by Sakoe and Chiba (1978) in speech recognition, is a better method to estimate nonlinear and rapidly varying shifts (Hale, 2013;Muñoz and Hale, 2015). DTW corresponds in solving the following constrained optimization problem:…”

Section: Dtwmentioning

confidence: 99%

“…Therefore, some authors Cheverry et al, 2015;Muñoz and Hale, 2015) propose to use dynamic time warping (DTW) or equivalent methods to better match the synthetic seismogram with the real seismogram. DTW was first proposed by Sakoe and Chiba (1978) in the context of speech recognition, and today it is widely used in geophysics for correlating seismic traces (Anderson and Gaby, 1983), seismic images (Hale, 2013), well logs (Smith and Waterman, 1980;Wheeler and Hale, 2014), and magnetostratigraphic data (Lallier et al, 2013). Compared with windowed crosscorrelation methods, DTW is often more accurate in computing relative shifts between series or images, especially when the shifts are large and rapidly varying.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

Caumon

2017

GEOPHYSICS

View full text Add to dashboard Cite

Well-seismic ties allow rock properties measured at well locations to be compared with seismic data and are therefore useful for seismic interpretation. Numerous methods have been proposed to compute well-seismic ties by correlating real seismograms with synthetic seismograms computed from velocity and density logs. However, most methods tie multiple wells to seismic data one by one; hence, they do not guarantee lateral consistency among multiple well ties. We therefore propose a method to simultaneously tie multiple wells to seismic data. In this method, we first flatten synthetic and corresponding real seismograms so that all seismic reflectors are horizontally aligned. By doing this, we turn multiple wellseismic tying into a 1D correlation problem. We then compute only vertically variant but laterally constant shifts to correlate these horizontally aligned (flattened) synthetic and real seismograms. This two-step correlation method maintains lateral consistency among multiple well ties by computing a laterally and vertically optimized correlation of all synthetic and real seismograms. We applied our method to a 3D real seismic image with multiple wells and obtained laterally consistent well-seismic ties.

show abstract

Section: Dtwmentioning

confidence: 99%

Section: Dtwmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

Caumon

2017

GEOPHYSICS

View full text Add to dashboard Cite

show abstract

“…As described by Hale (2013), a migration image I based on the incorrect velocity can be considered a warped version of the true imageĨ based on the correct velocity. In equation 1, hðx; zÞ and lðx; zÞ are warping functions that specify how much the image point at ðx; zÞ inĨ is shifted from the same image point in I in the horizontal (h) and vertical (l) directions:…”

Section: Theorymentioning

confidence: 99%

“…With the assumptions above, depth differences between images should be primarily caused by time-lapse changes in the velocity and not by physical changes in reflector position. Dynamic image warping (Hale, 2013) is used to measure the image shifts in a way that is robust to cycle skipping and amplitude differences between images. By minimizing the warping function (the shifts between baseline and monitor images), we invert for velocity changes iteratively using the adjoint-state method (Plessix, 2006).…”

Section: Introductionmentioning

confidence: 99%

Using image warping for time-lapse image domain wavefield tomography

Yang

Malcolm

Fehler

2013

SEG Technical Program Expanded Abstracts 2013

View full text Add to dashboard Cite

Time-lapse seismic data are widely used for monitoring subsurface changes. A quantitative assessment of how reservoir properties have changed allows for better interpretation of fluid substitution and fluid migration during processes such as oil and gas production and carbon sequestration. Full-waveform inversion (FWI) has been proposed as a way to retrieve quantitative estimates of subsurface properties through seismic waveform fitting. However, for some monitoring systems, the offset range versus depth of interest is not large enough to provide information about the low-wavenumber component of the velocity model. We evaluated an image domain wavefield tomography (IDWT) method using the local warping between baseline and monitor images as the cost function. This cost function is sensitive to volumetric velocity anomalies, and it is capable of handling large velocity changes with very limited acquisition apertures, where traditional FWI fails. We described the theory and workflow of our method. Layered model examples were used to investigate the performance of the algorithm and its robustness to velocity errors and acquisition geometry perturbations. The Marmousi model was used to simulate a realistic situation in which IDWT successfully recovers time-lapse velocity changes.

show abstract

Toward a robust workflow for deep crustal imaging by FWI of OBS data: The eastern Nankai Trough revisited

2017

View full text Add to dashboard Cite

Crustal‐scale imaging by the full‐waveform inversion (FWI) of long‐offset seismic data is inherently difficult because the large number of wavelengths propagating through the crust makes the inversion prone to cycle skipping. Therefore, efficient crustal‐scale FWI requires an accurate starting model and a stable workflow minimizing the nonlinearity of the inversion. Here we attempt to reprocess a challenging 2‐D ocean‐bottom seismometer (OBS) data set from the eastern Nankai Trough. The starting model is built by first‐arrival traveltime tomography (FAT), which is FWI assisted for tracking cycle skipping. We iteratively refine the picked traveltimes and then reiterate the FAT until the traveltime residuals remain below the cycle‐skipping limit. Subsequently, we apply Laplace‐Fourier FWI, in which progressive relaxation of time damping is nested within frequency continuation to hierarchically inject more data into the inversion. These two multiscale levels are complemented by a layer‐stripping approach implemented through offset continuation. The reliability of the FWI velocity model is assessed by means of source wavelet estimation, synthetic seismogram modeling, ray tracing modeling, dynamic warping, and checkerboard tests. Although the viscoacoustic approximation is used for wave modeling, the synthetic seismograms reproduce most of the complexity of the data with a high traveltime accuracy. The revised FWI scheme produces a high‐resolution velocity model of the entire crust that can be jointly interpreted with migrated images derived from multichannel seismic data. This study opens a new perspective on the design of OBS crustal‐scale experiments amenable to FWI; however, a further assessment of the optimal OBS spacing is required for reliable FWI.

show abstract

Dynamic warping of seismic images

Cited by 275 publications

References 14 publications

Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

Using image warping for time-lapse image domain wavefield tomography

Toward a robust workflow for deep crustal imaging by FWI of OBS data: The eastern Nankai Trough revisited

Contact Info

Product

Resources

About