Wavelengths of earth structures that can be resolved from seismic reflection data

Jannane, M.; Beydoun, Wafik; Crase, Edward; Cao, Danping; Koren, Zvi; Landa, Evgeny; Mendes, Manuela; Pica, A.; Noble, Mark; Roeth, G.; Singh, S. C.; Snieder, Roel; Tarantola, Albert; Trezeguet, Denis; Xie, Mingyu

doi:10.1190/1.1442719

Cited by 168 publications

(101 citation statements)

References 6 publications

Supporting

Mentioning

100

Contrasting

Order By: Relevance

“…In marine reflection seismic data, the presence of only one propagation mode impedes the opportunity to obtain independent estimates of P-wave (Vp) and S-wave velocity (Vs) (Jin et al, 1992;Igel et al, 1996); on the other hand, density is strongly coupled with P-wave velocity at narrow reflection angle; the two parameters can't be effectively resolved and in fact yield a posterior reconstruction of the P-impedance model (Tarantola, 1986;Operto et al, 2013). Here we choose to parametrise the reflectivity of the earth model as a distribution of P-impedance, Poisson's ratio and density (Debski & Tarantola, 1995;Igel et al, 1996), super-imposed to a long-wavelength P-wave velocity model that controls the wavefield kinematic (Tarantola, 1986;Jannane, 1989).…”

Section: A Strategy For the Multi-parameter Problemmentioning

confidence: 99%

“…(iii) The sensitivity in the mid to long wavelengths of the P-wave velocity model is poor because of the lack of low-frequencies and the limited available offsets (Mora, 1980;Jannane, 1989).…”

Section: Sensitivity Issues Specific To Uhf Datamentioning

confidence: 99%

“…The lack of low frequencies and the limited offsets in UHF data determine a low sensitivity to the mid-to-low wavelengths of the earth-model (Mora, 1980;Jannane, 1989). Although the background P-wave velocity distribution within the top 50 meters of the sub-seabed is close to the water velocity (Hamilton, 1970), this characteristic can be conducive to cycle-skipping and local minimum entrapment in the P-wave velocity inversion (Tarantola, 1984;Virieux & Operto, 2009), which would jeopardise the reconstruction of the elastic model in the following steps.…”

Section: Complex Trace Inversion To Improve the Model Kinematicsmentioning

confidence: 99%

“…Debski & Tarantola, 1995;Jannane, 1989;Igel et al, 1996). We conduct a sensitivity analysis on a simple homogeneous model with a low impedance 50 cm thick layer, whose density is changed at constant impedance, as a function of the maximum reflection angle at the target.…”

Section: Sensitivity To Constant-impedance Density Variationsmentioning

confidence: 99%

“…4 is equivalent to the Born approximation of the wavefield (Jannane, 1989;Virieux & Operto, 2009;Fichtner, 2011), which implies that the data residuals are linearly related to missing heterogeneities in a background elastic model (Tarantola, 1984;Jannane, 1989;Virieux & Operto, 2009;Fichtner, 2011). In this framework, in order for the convergence to local minima to be prevented, the background velocity distribution needs to account for the traveltime information of the data within half a propagated wavelength, otherwise cycle skipping (Virieux & Operto, 2009) The process stops when a maximum number of iteration is reached, the misfit goes below a threshold, or the misfit evolution function has reached a plateau.…”

Section: Gauss-newton Seismic Inversionmentioning

confidence: 99%

See 4 more Smart Citations

Pre-stack full waveform inversion of ultra-high-frequency marine seismic reflection data

Provenzano

Vardy

Henstock

2017

Geophysical Journal International

View full text Add to dashboard Cite

SUMMARYThe full waveform inversion (FWI) of seismic reflection data aims to reconstruct a detailed physical properties model of the subsurface, fitting both the amplitude and traveltime of the reflections generated at physical discontinuities in the propagation medium. Unlike reservoirscale seismic exploration, where seismic inversion is a widely adopted remote characterisation tool, ultra high frequency (UHF, 0.2-4.0 kHz) multi-channel marine reflection seismology is still most often limited to a qualitative interpretation of the reflections' architecture. Here we propose an elastic full waveform inversion methodology, custom-tailored for pre-stack UHF marine data in vertically heterogeneous media to obtain a decimetric-scale distribution of Pimpedance, density and Poisson's ratio within the shallow sub-seabed sediments. We address the deterministic multi-parameter inversion in a sequential fashion. The complex trace instantaneous phase is first inverted for the P-wave velocity to make-up for the lack of low-frequency in the data and reduce the non-linearity of the problem. This is followed by a short-offset Pimpedance optimisation and a further step of full offset range Poisson's ratio inversion. Provided that the seismogram contains wide reflection angles (> 40 degrees), we show that it is possible to invert for density and decompose a-posteriori the relative contribution of P-wave velocity and density to the P-impedance. A broad range of synthetic tests is used to prove the potential of the methodology and highlights sensitivity issues specific to UHF seismic. An example application to real data is also presented. In the real case, trace normalisation is applied to minimise the systematic error deriving from an inaccurate source wavelet estimation. G. Provenzano et al.The inverted model for the top 15 meters of the sub-seabed agrees with the local lithological information and core-log data. Thus we can obtain a detailed remote characterisation of the shallow sediments using a multi-channel sub-bottom profiler within a reasonable computing cost and with minimal pre-processing. This has the potential to reduce the need of extensive geotechnical coring campaigns.

show abstract

Section: A Strategy For the Multi-parameter Problemmentioning

confidence: 99%

Section: Sensitivity Issues Specific To Uhf Datamentioning

confidence: 99%

Section: Complex Trace Inversion To Improve the Model Kinematicsmentioning

confidence: 99%

Section: Sensitivity To Constant-impedance Density Variationsmentioning

confidence: 99%

Section: Gauss-newton Seismic Inversionmentioning

confidence: 99%

See 3 more Smart Citations

Pre-stack full waveform inversion of ultra-high-frequency marine seismic reflection data

Provenzano

Vardy

Henstock

2017

Geophysical Journal International

View full text Add to dashboard Cite

show abstract

Objective‐Function Behavior in Acoustic Full‐Waveform Inversion

Dong

Chi

Ji-Xia

et al. 2013

Chinese J of Geophysics

View full text Add to dashboard Cite

The main difficulty in seismic full‐waveform inversion is the strong nonlinearity of these waveforms, which is caused by the complexity of seismic wave propagation. Analysis of objective‐function behavior and its variations with the scale of parameter perturbations can help us to choose an appropriate inversion method and strategy. Using Jannane et al.'s method of analyzing objective‐function behavior, we have studied the relationship between the objective functions calculated from different seismic data subsets and the scale of their parameter perturbations, especially their nonlinearity. These analytical results should provide some theoretical guidance for full‐waveform inversion (FWI) to implement a multi‐step and multi‐scale inversion strategy.

show abstract

Strategy and Application of Waveform Inversion Based on Seismic Data Subset

Dong

Huang

Chi

et al. 2015

Chinese J of Geophysics

View full text Add to dashboard Cite

The main difficulty in seismic full waveform inversion (FWI) is the strong nonlinearity, which is caused by the complexity of seismic wave propagation. Different components of elastic parameters result in different characteristics in seismic data. Meanwhile, different inversion quality is required in different stages of exploration or exploitation. So, there is no need to pursue matching all the seismic information during the inversion. Some problems can be solved by matching part of seismic information and the strong nonlinearity can also be avoided by this way. According to this consideration, a generalized FWI strategy and method based on seismic data subsets is presented. For different seismic data subsets, the gradients of the misfits have the same form and can be calculated by two times of seismic wave forward modeling just as traditional FWI. The only difference in calculating the gradients is the adjoint source. During the waveform inversion based on seismic data subsets, the responses of seismic data to different scales of perturbation on different media parameters should be analyzed intensively. Different seismic data subsets should be used in different stages of full waveform inversion. And then the residual of this seismic data subset is back-projected along the reasonable sub-kernels to decide where and which component of the model parameter need to be updated. As examples, envelope and reflection data subsets are used in FWI with synthetic and practical data to prove the validity and effectiveness of our presented FWI strategy and method. Especially, in the absence of low frequency contents, reasonable misfits can be used to recover the background compressional and shear velocity models using these FWI methods.

show abstract

Wavelengths of earth structures that can be resolved from seismic reflection data

Cited by 168 publications

References 6 publications

Pre-stack full waveform inversion of ultra-high-frequency marine seismic reflection data

Pre-stack full waveform inversion of ultra-high-frequency marine seismic reflection data

Objective‐Function Behavior in Acoustic Full‐Waveform Inversion

Strategy and Application of Waveform Inversion Based on Seismic Data Subset

Contact Info

Product

Resources

About