Robust Velocity Estimation by Joint Migration Inversion

Staal, X.R.; Verschuur, D.J.; Berkhout, A. J.

doi:10.3997/2214-4609.20141157

Cited by 38 publications

(32 citation statements)

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“…The paper is organized as follows: we first introduce the wavefield propagation model used in AIJMI, next we introduce the cost functions that AIJMI recursively tries to minimize in order to improve the model, and based upon these cost functions the expressions of the gradients of both the reflectivity model and the velocity model are derived in detail. Finally, we demonstrate that with some further approximations introduced into our expressions, our derivations also agree with the conclusions shown in Berkhout () and Staal (). Note that throughout this paper, all the derivations are in three dimensional space.…”

Section: Introductionsupporting

confidence: 87%

“…), JMI parameterizes an acoustic subsurface model using both a reflectivity model and a velocity model, which are completely decoupled in the framework of JMI. Although subsurface reflectivities should be propagation‐angle‐dependent (like described in Berkhout ), current implementations of JMI adopt the angle‐independent reflectivity model by using angle‐independent full wavefield migration (Staal ; Verschuur et al . ).…”

Section: Introductionmentioning

confidence: 99%

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Research note: derivations of gradients in angle‐independent joint migration inversion

Sun¹,

Verschuur

2019

Geophysical Prospecting

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Although joint migration inversion has been proposed for several years, a thorough derivation and description of the involved gradients was not published. In this paper, we derive the gradient of both the angle‐independent reflectivity and the velocity in a framework of acoustic angle‐independent joint migration inversion. With some further approximations taken, the conclusions shown in previous publications can also be reached from our new derivation.

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Section: Introductionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Research note: derivations of gradients in angle‐independent joint migration inversion

Sun¹,

Verschuur

2019

Geophysical Prospecting

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“…This can indeed be done, and this process is referred to as joint migration inversion (JMI) (Berkhout 2012(Berkhout , 2014aStaal et al 2014). This can indeed be done, and this process is referred to as joint migration inversion (JMI) (Berkhout 2012(Berkhout , 2014aStaal et al 2014).…”

Section: Discussionmentioning

confidence: 99%

Full‐wavefield migration: using surface and internal multiples in imaging

Davydenko¹,

Verschuur²

2016

Geophysical Prospecting

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Multiple scattering is usually ignored in migration algorithms, although it is a genuine part of the physical reflection response. When properly included, multiples can add to the illumination of the subsurface, although their crosstalk effects are removed. Therefore, we introduce full‐wavefield migration. It includes all multiples and transmission effects in deriving an image via an inversion approach. Since it tries to minimize the misfit between modeled and observed data, it may be considered a full waveform inversion process. However, full‐wavefield migration involves a forward modelling process that uses the estimated seismic image (i.e., the reflectivities) to generate the modelled full wavefield response, whereas a smooth migration velocity model can be used to describe the propagation effects. This separation of modelling in terms of scattering and propagation is not easily achievable when finite‐difference or finite‐element modelling is used. By this separation, a more linear inversion problem is obtained. Moreover, during the forward modelling, the wavefields are computed separately in the incident and scattered directions, which allows the implementation of various imaging conditions, such as imaging reflectors from below, and avoids low‐frequency image artefacts, such as typically observed during reverse‐time migration. The full wavefield modelling process also has the flexibility to image directly the total data (i.e., primaries and multiples together) or the primaries and the multiples separately. Based on various numerical data examples for the 2D and 3D cases, the advantages of this methodology are demonstrated.

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“…Recently, the concept of joint migration inversion has been introduced, which is an extension of FWM to simultaneously estimate both reflectivity as well as migration velocity. For more details, see Verschuur (2012, 2013), Staal et al (2014), andBerkhout (2014c). This concept exploits the fact that a wrong velocity model yields a high residual that could help in a velocity update.…”

Section: R131mentioning

confidence: 99%

Imaging blended vertical seismic profiling data using full-wavefield migration in the common-receiver domain

Soni

Verschuur

2015

GEOPHYSICS

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For vertical-seismic-profiling (VSP) measurements, the use of blended acquisition, with time-overlapping shot records, can greatly reduce the downtime and, thereby, provide large cost savings. For directly imaging blended VSP measurements, we have used full-wavefield migration (FWM). FWM is an inversion-based imaging scheme that enables us to use any kind of complex source wavefield to estimate the subsurface reflectivity, using all the multiples (surface and internal) in the recorded data. The multiple scattering helps in improving the illumination as well as the vertical resolution of the image. In this scheme, active deblending is not required because the imaging process itself acts as a deblending procedure. We tested the potential of FWM to image blended VSP data, using simple and complex synthetic models. We clearly determined that using the primaries, surface multiples, and internal multiples enhanced the illumination away from the well trajectory, in which blending noise was suppressed due to the inversion scheme. We observed that some blending crosstalk noise leaked into the images with large blending factors. Such noise could be further reduced with additional constraints in the involved least-squares inversion process.

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Robust Velocity Estimation by Joint Migration Inversion

Cited by 38 publications

References 0 publications

Research note: derivations of gradients in angle‐independent joint migration inversion

Research note: derivations of gradients in angle‐independent joint migration inversion

Full‐wavefield migration: using surface and internal multiples in imaging

Imaging blended vertical seismic profiling data using full-wavefield migration in the common-receiver domain

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