Adaptive double-focusing method for source-receiver Marchenko redatuming on field data

Staring, Myrna; Pereira, Roberto; Douma, Huub; Neut, Joost van der; Wapenaar, Kees

doi:10.1190/segam2017-17641718.1

Cited by 16 publications

(16 citation statements)

References 13 publications

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“…The accuracy of the predicted time-lapse response will further be limited by losses in the medium, inaccuracies in the deconvolution for the source wavelet, the finite length of the acquisition aperture, and incomplete sampling (particularly for 3-D applications). Currently much research is going on to improve the Marchenko method to address these issues (Ravasi et al, 2016;Slob, 2016;Staring et al, 2017;van der Neut & Wapenaar, 2016). The proposed target replacement scheme will benefit from these developments.…”

Section: Discussionmentioning

confidence: 99%

Marchenko‐Based Target Replacement, Accounting for All Orders of Multiple Reflections

Wapenaar

Staring

2018

JGR Solid Earth

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In seismic monitoring, one is usually interested in the response of a changing target zone, embedded in a static inhomogeneous medium. We introduce an efficient method that predicts reflection responses at the Earth's surface for different target‐zone scenarios, from a single reflection response at the surface and a model of the changing target zone. The proposed process consists of two main steps. In the first step, the response of the original target zone is removed from the reflection response, using the Marchenko method. In the second step, the modelled response of a new target zone is inserted between the overburden and underburden responses. The method fully accounts for all orders of multiple scattering and, in the elastodynamic case, for wave conversion. For monitoring purposes, only the second step needs to be repeated for each target‐zone model. Since the target zone covers only a small part of the entire medium, the proposed method is much more efficient than repeated modelling of the entire reflection response.

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Section: Discussionmentioning

confidence: 99%

Marchenko‐Based Target Replacement, Accounting for All Orders of Multiple Reflections

Wapenaar

Staring

2018

JGR Solid Earth

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“…Alternatively, they have been used to invert for a redatumed reflection response devoid of overburden interactions which is the used in conventional imaging Ravasi et al 2016;Staring et al 2017). Herein, we show how Marchenko focusing functions computed at far fewer locations can be used to obtain significantly better images than RTM.…”

Section: Introductionmentioning

confidence: 99%

Imaging strategies using focusing functions with applications to a North Sea field

Filho

Meles

Curtis

et al. 2017

Geophysical Journal International

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SUMMARYSeismic methods are used in a wide variety of contexts to investigate subsurface Earth structures, and to explore and monitor resources and waste-storage reservoirs in the upper~100 km of the Earth's subsurface. Reverse-time migration (RTM) is one widely used seismic method which constructs high-frequency images of subsurface structures. Unfortunately, RTM has certain disadvantages shared with other conventional single-scattering-based methods, such as not being able to correctly migrate multiply-scattered arrivals. In principle, the recently-developed Marchenko methods can be used to migrate all orders of multiples correctly. In practice however, using Marchenko methods are costlier to compute than RTM-for a single imaging location, the cost of performing the Marchenko method is several times that of standard RTM, and performing RTM itself requires dedicated use of some of the largest computers in the world for individual datasets. A different imaging strategy is therefore required. We propose a new set of imaging methods which use so-called focusing functions to obtain images with few artifacts from multiply-scattered waves, while greatly reducing the number of points across the image at which the Marchenko method need be applied. Focusing functions are outputs of the Marchenko scheme: they are solutions of wave equations that focus in time and space at particular surface or subsurface locations. However, they are mathematical rather than phys-2 da Costa Filho et. al ical entities, being defined only in reference media that equal to the true Earth above their focusing depths but are homogeneous below. Here, we use these focusing functions as virtual source/receiver surface seismic surveys, the upgoing focusing function being the virtual received wavefield that is created when the downgoing focusing function acts as a spatially distributed source. These source/receiver wavefields are used in three imaging schemes: one allows specific individual reflectors to be selected and imaged. The other two schemes provide either targeted or complete images with distinct advantages over current reverse-time migration methods, such as fewer artifacts and artifacts that occur in different locations. The latter property allows the recently published "combined imaging" method to remove almost all artifacts. We show several examples to demonstrate the methods: acoustic 1D and 2D synthetic examples, and a 2D line from an ocean bottom cable (OBC) field dataset. We discuss an extension to elastic media, which is illustrated by a 1.5D elastic synthetic example.

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“…In an alternative approach, van der Neut and Wapenaar () and Staring et al . () subtract Marchenko‐predicted overburden‐related multiples adaptively. While the latter approach has been successful in several pre‐salt areas, adaptively subtracting internal multiples may harm primaries (da Costa Filho et al .…”

Section: Introductionmentioning

confidence: 99%

“…Van der Neut et al (2014) adaptively subtract the Marchenko update to the upgoing Green's function from its first estimate; Ravasi et al (2016) scale the input reflection data based on the convergence of the solution of the Marchenko equations, whereas Thomsen et al (2017) propose to use vertical seismic profiling (VSP) data (when available) to estimate the correct scaling of the input reflection data. In an alternative approach, van der Neut and Wapenaar (2016) and Staring et al (2017) subtract Marchenkopredicted overburden-related multiples adaptively. While the latter approach has been successful in several pre-salt areas, adaptively subtracting internal multiples may harm primaries (da Costa Filho et al 2018b).…”

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confidence: 99%

Source wavelet correction for practical Marchenko imaging: A sub‐salt field‐data example from the Gulf of Mexico

Mildner

Broggini

Filho

et al. 2019

Geophysical Prospecting

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Imaging a target zone below a salt body can be challenging because large velocity contrasts in the overburden between the salt and surrounding sediments generate internal multiples, which interfere with primary reflections from the target level in the imaging process. This can lead to an erroneous interpretation of reflections in the sub‐salt area if multiples are misinterpreted as primaries. The Marchenko redatuming method may enable imaging of the sub‐salt target area where the effect of the multiply‐scattering overburden is removed. This is achieved by creating a redatumed reflection response where virtual sources and receivers are located below the overburden using a macromodel of the velocity field and the surface reflection data. The accuracy of the redatumed data and the associated internal multiple removal, however, depends on the accurate knowledge of the source wavelet of the acquired reflection data. For the first time, we propose a method which can accurately and reliably correct the amplitudes of the reflection response in field data as required by the Marchenko method. Our method operates by iteratively and automatically updating the source function so as to cancel the most artefact energy in the focusing functions, which are also generated by the Marchenko method. We demonstrate the method on a synthetic dataset and successfully apply it to a field dataset acquired in a deep‐water salt environment in the Gulf of Mexico. After the successful source wavelet estimation for the field dataset, we create sub‐salt target‐oriented images with Marchenko redatumed data. Marchenko images using the proposed source wavelet estimation show clear improvements, such as increased continuity of reflectors, compared to surface‐based images and to conventional Marchenko images computed without the inverted source wavelet. Our improvements are corroborated by evidence in the literature and our own synthetic results.

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Adaptive double-focusing method for source-receiver Marchenko redatuming on field data

Cited by 16 publications

References 13 publications

Marchenko‐Based Target Replacement, Accounting for All Orders of Multiple Reflections

Marchenko‐Based Target Replacement, Accounting for All Orders of Multiple Reflections

Imaging strategies using focusing functions with applications to a North Sea field

Source wavelet correction for practical Marchenko imaging: A sub‐salt field‐data example from the Gulf of Mexico

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