Retrieving Reservoir-only Reflection and Transmission Responses from Target-enclosing Extended Images

Conference Paper (2017)
Author(s)

I. Vasconcelos (Universiteit Utrecht)

M. Ravasi (Statoil)

J.R. van der Neut (TU Delft - Applied Geophysics and Petrophysics)

A. Kritski (Statoil)

T. Cui (Schlumberger Gould Research Center)

Research Group
Applied Geophysics and Petrophysics
Copyright
© 2017 I. Vasconcelos, M. Ravasi, J.R. van der Neut, A. Kritski, T. Cui
DOI related publication
https://doi.org/10.3997/2214-4609.201701222
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 I. Vasconcelos, M. Ravasi, J.R. van der Neut, A. Kritski, T. Cui
Research Group
Applied Geophysics and Petrophysics
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Abstract

The Marchenko redatuming approach reconstructs wavefields at depth that contain not only primary reflections, but also multiply-scattered waves. While such fields in principle contain additional subsurface information, conventional imaging approaches cannot tap into the information encoded in internal multiples in a trivial manner. We discuss a new approach that uses the full information contained in Marchenko-redatumed fields, whose output are local reflection and transmission responses that fully enclose a target volume at depth, without contributions from over- or under-burden structures. To obtain the Target-Enclosing Extended Images (TEEIs) we solve a multi-dimensional deconvolution (MDD) problem that can be severely ill-posed, so we offer stable estimates to the MDD problem that rely on the physics of the Marchenko scheme. We validate our method on ocean-bottom field data from the North Sea. In our field data example, we show that the TEEIs can be used for reservoir-targeted imaging using reflection and, for the first time, local transmission responses, shown to be the direct by-product of using internal multiples in the redatuming scheme. Finally, we present local, TEEI-derived reflection and transmission images of the target volume at depth that are structurally consistent with a benchmark image from conventional migration of surface data.

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