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

Wapenaar, Kees; Staring, Myrna

doi:10.1029/2017jb015208

Cited by 10 publications

(8 citation statements)

References 38 publications

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“…Since all orders of internal multiples are accounted for, the redatumed wavefields are free from any interactions of the overburden, hence providing an unobstructed view of the primary reflections of the reservoir when a focal level just above the reservoir is chosen. The Marchenko equations can then be applied a second time to the newly found reflection response to also remove underburden interactions (Wapenaar & Staring, 2018). If the second focal depth is chosen just below the reservoir, the final result has effectively isolated all primaries and multiples of the reservoir.…”

Section: Introductionmentioning

confidence: 99%

Time‐lapse applications of the Marchenko method on the Troll field

van IJsseldijk,

Brackenhoff,

Thorbecke

et al. 2023

Geophysical Prospecting

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The data‐driven Marchenko method is able to redatum wavefields to arbitrary locations in the subsurface, and can, therefore, be used to isolate zones of specific interest. This creates a new reflection response of the target zone without interference from over‐ or underburden reflectors. Consequently, the method is well suited to obtain a clear response of a subsurface reservoir, which can be advantageous in time‐lapse studies. The isolated responses of a baseline and monitor survey can be more effectively compared; hence, the retrieval of time‐lapse characteristics is improved. This research aims to apply Marchenko‐based isolation to a time‐lapse marine data set of the Troll field in Norway in order to acquire an unobstructed image of the primary reflections and retrieve small time‐lapse traveltime difference in the reservoir. It is found that the method not only isolates the primary reflections but can also estimate internal multiples outside the recording time. Both the primaries and the multiples can then be utilized to find time‐lapse traveltime differences. More accurate ways of time‐lapse monitoring will allow for a better understanding of dynamic processes in the subsurface, such as observing saturation and pressure changes in a reservoir or monitoring underground storage of hydrogen and CO2.

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Section: Introductionmentioning

confidence: 99%

Time‐lapse applications of the Marchenko method on the Troll field

van IJsseldijk,

Brackenhoff,

Thorbecke

et al. 2023

Geophysical Prospecting

Self Cite

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show abstract

“…In addition to removing the overburden, the reservoir response can completely be isolated by also removing the underburden with the Marchenko method (Wapenaar and Staring, 2018). Consequently, not only the primary response of the reservoir is uncovered, but internal multiples, which traversed through the reservoir more than once, will now also be clearly visible and unobstructed by primaries and multiples outside the target zone.…”

Section: Introductionmentioning

confidence: 99%

Extracting small time-lapse traveltime changes in a reservoir using primaries and internal multiples after Marchenko-based target zone isolation

IJsseldijk¹,

Neut²,

Thorbecke³

et al. 2022

Preprint

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“…A single Marchenko method does not exist, and we consider this understanding a concept rather than a method. Many other methods have been derived from this concept, such as fracture compliance characterization (Minato and Ghose, 2016), target‐oriented velocity analysis (Mildner et al ., 2017), extended imaging and inversion (van der Neut et al ., 2017b; Cui, 2020) and monitoring (Wapenaar and Staring, 2018), homogeneous Green's function retrieval (Wapenaar et al., 2016), equations for inverse source problems (van der Neut et al ., 2017a), virtual acoustics (Wapenaar et al ., 2018) and immersive wave simulation (Elison et al ., 2018). Most field test results are with two‐dimensional (2D) implementations on line data (Jia et al ., 2018; Staring et al ., 2018; Brackenhoff et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

Unified elimination of 1D acoustic multiple reflection

Slob

Zhang

2021

Geophysical Prospecting

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Migration, velocity and amplitude analysis are the employed processing steps to find the desired subsurface information from seismic reflection data. The presence of freesurface and internal multiples can mask the primary reflections for which many processing methods are built. The ability to separate primary from multiple reflections is desirable. Connecting Marchenko theory with classical one-dimensional inversion methods allows to understand the process of multiple reflection elimination as a datafiltering process. The filter is a fundamental wave field, defined as a pressure and particle velocity that satisfy the wave equation. The fundamental wave field does not depend on the presence or absence of free-surface multiples in the data. The backbone of the filtering process is that the fundamental wave field is computed from the measured pressure and particle velocity without additional information. Two different multiples-free datasets are obtained: either directly from the fundamental wave field or by applying the fundamental wave field to the data. In addition, the known schemes for Marchenko multiple elimination follow from the main equation. Numerical examples show that source and receiver ghosts, free-surface and internal multiples can be removed simultaneously using a conjugate gradient scheme. The advantage of the main equation is that the source wavelet does not need to be known and no preprocessing is required. The fact that the reflection coefficients can be obtained is an interesting feature that could lead to improved amplitude analysis and inversion than would be possible with other processing methods.

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

Cited by 10 publications

References 38 publications

Time‐lapse applications of the Marchenko method on the Troll field

Time‐lapse applications of the Marchenko method on the Troll field

Extracting small time-lapse traveltime changes in a reservoir using primaries and internal multiples after Marchenko-based target zone isolation

Unified elimination of 1D acoustic multiple reflection

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