Elastic internal multiple analysis and attenuation using Marchenko and interferometric methods

Filho, Carlos Alberto da Costa; Meles, Giovanni Angelo; Curtis, Andrew

doi:10.1190/geo2016-0162.1

Cited by 35 publications

(17 citation statements)

References 44 publications

(49 reference statements)

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“…Marchenko imaging (Behura et al . ; Broggini, Snieder and Wapenaar , ; Meles, Wapenaar and Curtis ; da Costa Filho, Meles and Curtis ; Singh et al . ; Thorbecke, van der Neut and Wapenaar ; Wapenaar et al .…”

Section: Introductionunclassified

“…The downward projections of the continuous light blue arrows, depicted by the dashed light blue arrows, describe the origin of ghost reflectors -dark grey dashed horizontal line -created because of the single-scattering assumption incorporated by the conventional imaging methods (Modified from Behura et al, 2014). Wapenaar 2014a, 2014b;Meles, Wapenaar and Curtis 2016;da Costa Filho, Meles and Curtis 2017;Thorbecke, van der Neut and Wapenaar 2013;Wapenaar et al 2014b) shows up as a novel target-oriented method that takes multiples into account and provides cleaner images with more reliable amplitudes. Although some limiting assumptions have to be made (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Marchenko imaging by unidimensional deconvolution

Matias

Pestana

Neut

2018

Geophysical Prospecting

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Obtaining an accurate image of the subsurface still remains a great challenge for the seismic method. Migration algorithms aim mainly on positioning seismic events in complex geological contexts. Multiple reflections are typically not accounted for in this process, which can lead to the emergence of artefacts. In Marchenko imaging, we retrieve the complete up‐ and downgoing wavefields in the subsurface to construct an image without such artefacts. The quality of this image depends on the type of imaging condition that is applied. In this paper, we propose an imaging condition that is based on stabilized unidimensional deconvolution. This condition is computationally much cheaper than multidimensional deconvolution, which has been proposed for Marchenko imaging earlier. Two specific approaches are considered. In the first approach, we use the full up‐ and downgoing wavefields for deconvolution. Although this leads to balanced and relatively accurate amplitudes, the crosstalk is not completely removed. The second approach is to incorporate the initial focussing function in the deconvolution process, in such a way that the retrieval of crosstalk is avoided. We compare images with the results of the classical cross‐correlation imaging condition, which we apply to reverse‐time migrated wavefields and to the up‐ and downgoing wavefields that are retrieved by the Marchenko method.

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Section: Introductionunclassified

Section: Introductionmentioning

confidence: 99%

Marchenko imaging by unidimensional deconvolution

Matias

Pestana

Neut

2018

Geophysical Prospecting

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“…Marchenko methods have recently been used for a variety of purposes, including internal mul-tiple attenuation da Costa Filho et al 2017), target-oriented imaging Ravasi et al 2016), overburden elimination (van der Neut & Wapenaar 2016), synthesizing primaries , and virtual subsurface wavefield estimation . Its has also been extensively used for imaging (e.g.…”

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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“…It can be shown that linear imaging of the redatumed data is equivalent to the imaging of primaries (Wapenaar et al, 2017). Hence, Marchenko imaging can also be interpreted as an internal multiple elimination process (Meles et al, 2015;van der Neut and Wapenaar, 2016;da Costa Filho et al, 2017). However, it has also been recently shown that novel imaging conditions can be derived for multiply reflected waves, given that a detailed model of the subsurface is available (Halliday and Curtis, 2010;Fleury and Vasconcelos, 2012;Ravasi et al, 2014Ravasi et al, , 2015b.…”

Section: Motivationmentioning

confidence: 99%

Target-enclosed seismic imaging

et al. 2017

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Seismic reflection data can be redatumed to a specified boundary in the subsurface by solving an inverse (or multidimensional deconvolution) problem. The redatumed data can be interpreted as an extended image of the subsurface at the redatuming boundary, depending on the subsurface offset and time. We retrieve target-enclosed extended images by using two redatuming boundaries, which are selected above and below a specified target volume. As input, we require the upgoing and downgoing wavefields at both redatuming boundaries due to impulsive sources at the earth’s surface. These wavefields can be obtained from actual measurements in the subsurface, they can be numerically modeled, or they can be retrieved by solving a multidimensional Marchenko equation. As output, we retrieved virtual reflection and transmission responses as if sources and receivers were located at the two target-enclosing boundaries. These data contain all orders of reflections inside the target volume but exclude all interactions with the part of the medium outside this volume. The retrieved reflection responses can be used to image the target volume from above or from below. We found that the images from above and below are similar (given that the Marchenko equation is used for wavefield retrieval). If a model with sharp boundaries in the target volume is available, the redatumed data can also be used for two-sided imaging, where the retrieved reflection and transmission responses are exploited. Because multiple reflections are used by this strategy, seismic resolution can be improved significantly. Because target-enclosed extended images are independent on the part of the medium outside the target volume, our methodology is also beneficial to reduce the computational burden of localized inversion, which can now be applied inside the target volume only, without suffering from interactions with other parts of the medium.

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Elastic internal multiple analysis and attenuation using Marchenko and interferometric methods

Cited by 35 publications

References 44 publications

Marchenko imaging by unidimensional deconvolution

Marchenko imaging by unidimensional deconvolution

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

Target-enclosed seismic imaging

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