scispace - formally typeset
Journal ArticleDOI

Adaptive overburden elimination with the multidimensional Marchenko equation

Joost van der Neut, +1 more
- 01 Sep 2016 - 
- Vol. 81, Iss: 5
Reads0
Chats0
TLDR
In this article, an adaptive substitution of the multidimensional Marchenko equation has been introduced to integrate internal multiple reflections in the seismic imaging process, without the need of a macro velocity model of the subsurface.
Abstract
Iterative substitution of the multidimensional Marchenko equation has been introduced recently to integrate internal multiple reflections in the seismic imaging process. In so-called Marchenko imaging, a macro velocity model of the subsurface is required to meet this objective. The model is used to back-propagate the data during the first iteration and to truncate integrals in time during all successive iterations. In case of an erroneous model, the image will be blurred (akin to conventional imaging) and artifacts may arise from inaccurate integral truncations. However, the scheme is still successful in removing artifacts from internal multiple reflections. Inspired by these observations, we rewrote the Marchenko equation, such that it can be applied early in a processing flow, without the need of a macro velocity model. Instead, we have required an estimate of the two-way traveltime surface of a selected horizon in the subsurface. We have introduced an approximation, such that adaptive subtracti...

read more

Citations
More filters
Journal ArticleDOI

Source-receiver Marchenko redatuming on field data using an adaptive double-focusing method

TL;DR: An adaptive double-focusing method that is specifically designed for the field-data application of source-receiver Marchenko redatuming and is less sensitive to imperfections in the data and a sparse acquisition geometry than the MDD method.
Journal ArticleDOI

Implementation of the Marchenko method

TL;DR: In this paper, the authors proposed an adaptive implementation of the Marchenko method based on a Neumann series, which is considered to be the conventional scheme and evaluated this algorithm in detail and developed an implementation that reproduces their examples.
Journal ArticleDOI

Transmission compensated primary reflection retrieval in the data domain and consequences for imaging

TL;DR: A scheme that retrieves primary reflections in the two-way traveltime domain by filtering the data is developed, and it is found that the presence of refracted and scattered waves generates artifacts in the retrieved data.
Journal ArticleDOI

Marchenko scheme based internal multiple reflection elimination in acoustic wavefield

TL;DR: This paper applies a projected Marchenko scheme to a 2D numerical example to illustrate the procedure of this method and show how the internal multiple reflection eliminated data set can be retrieved and the migration image is improved.
References
More filters
Journal ArticleDOI

An inverse-scattering series method for attenuating multiples in seismic reflection data

TL;DR: In this paper, a multidimensional multiple-attenuation method is presented that does not require any subsurface information for either surface or internal multiples. But it does not consider the relationship between forward and inverse scattering.
Book

Seismic applications of acoustic reciprocity

TL;DR: In this paper, the reciprocity theorem was chosen as the central theme of the seismic wave theory, and the seismic experiment was formulated as terme of a geological system response to a known source function.
Journal ArticleDOI

Wave‐equation datuming before stack

John R. Berryhill
- 01 Nov 1984 - 
TL;DR: In this article, the authors describe the extension to unstacked seismic data of a computationally efficient form of the Kirchhoff integral published several years ago, and their applications include velocity-replacement datum corrections and multilayer forward modeling.
Journal ArticleDOI

Seismic reflector imaging using internal multiples with Marchenko-type equations

TL;DR: In this article, a filter is computed from the measured reflection response and does not require a background model, and the filter is a focusing wavefield that focuses inside a layered medium and removes all internal multiples between the surface and the focus depth.
Related Papers (5)