3D surface-related and interbed multiples attenuation on 5D-interpolated OVT data from a single-sensor survey in Kuwait

Jahdhami, M.; Maag, Jan de; Mueller, Alexander; Narhari, Srinivasa Rao; Kolawole, Osuntola Olugesun; Kidambi, Vijaya Kumar; Al-Qadeeri, Bashar; Dashti, Qasem

doi:10.1190/segam2017-17739249.1

SEG Technical Program Expanded Abstracts 2017 2017

DOI: 10.1190/segam2017-17739249.1

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3D surface-related and interbed multiples attenuation on 5D-interpolated OVT data from a single-sensor survey in Kuwait

M. Jahdhami

Jan de Maag

Alexander Mueller

et al.

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“…More sophisticated approaches aim to predict the multiples using either model-based methods (Lokshtanov, 1999;Jahdhami et al, 2017) that require a priori knowledge of the subsurface, or data-driven methods such as Surface-Related Multiple Elimination (SRME) (Verschuur et al, 1992). Both of these rely on some implementation of adaptive subtraction, and also may impact primary reflections and hence result in images that may not be suitable for AVO analysis.…”

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confidence: 99%

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Robust estimation of primaries by sparse inversion and Marchenko equation-based workflow for multiple suppression in the case of a shallow water layer and a complex overburden: A 2D case study in the Arabian Gulf

Staring

Dukalski²,

Belonosov³

et al. 2021

GEOPHYSICS

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Suppression of surface-related and internal multiples is an outstanding challenge in seismic data processing. The former is particularly difficult in shallow water, whereas the latter is problematic for targets buried under complex, highly scattering overburdens. We propose a two-step, amplitude- and phase-preserving, inversion-based workflow, which addresses these problems. We apply Robust Estimation of Primaries by Sparse Inversion (R-EPSI) to suppress the surface-related multiples and solve for the source wavelet. A significant advantage of the inversion approach of the R-EPSI method is that it does not rely on an adaptive subtraction step that typically limits other de-multiple methods such as SRME. The resulting Green's function is used as input to a Marchenko equation-based approach to predict the complex interference pattern of all overburden-generated internal multiples at once, without a priori subsurface information. In theory, the interbed multiples can be predicted with correct amplitude and phase and, again, no adaptive filters are required. We illustrate this workflow by applying it on an Arabian Gulf field data example. It is crucial that all pre-processing steps are performed in an amplitude preserving way to restrict any impact on the accuracy of the multiple prediction. In practice, some minor inaccuracies in the processing flow may end up as prediction errors that need to be corrected for. Hence, we decided that the use of conservative adaptive filters is necessary to obtain the best results after interbed multiple removal. The obtained results show promising suppression of both surface-related and interbed multiples.

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confidence: 99%

“…Applications of post-stack dip filtering tends to affect anticlines and low relief structures (Retailleau et al, 2014) for flat strongly scattering overburdens. Model-based (Lokshtanov, 1999;Jahdhami et al, 2017), or data-driven (e.g. Jakubowicz, 1998;Weglein et al, 1997) wave equation based methods predict kinematically-accurate individual events.…”

mentioning

confidence: 99%

Robust estimation of primaries by sparse inversion and Marchenko equation-based workflow for multiple suppression in the case of a shallow water layer and a complex overburden: A 2D case study in the Arabian Gulf

Staring

Dukalski²,

Belonosov³

et al. 2021

GEOPHYSICS

View full text Add to dashboard Cite

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Marchenko imaging assisted by vertical seismic profiling data for land seismic data in the Middle East

Cheng,

Tura,

Simmons

et al. 2024

GEOPHYSICS

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Attenuating interference from internal multiples has challenged seismic data imaging in the Middle East basins. The challenge results from the strong short-period internal multiples that exhibit nearly indistinguishable characters from the primaries reflected from the underlying reservoirs due to predominantly horizontal strata and occasional low-relief structures, as shown in the Jurassic formations in Kuwait. To address the internal-multiple issues, multiple prediction followed by adaptive subtraction is the most common approach in the industry. However, due to the similarities between primaries and multiples, applying adaptive subtraction poses a high risk of primary-amplitude damage, preventing quantitative seismic data interpretation. Therefore, we examine the Marchenko method, which retrieves Greens functions from surface seismic data for target-oriented imaging without applying adaptive subtraction. Marchenko imaging has shown promising results on several offshore seismic datasets, but an onshore application is still needed. To better understand the effects of internal multiples and implement Marchenko imaging, we perform integrated analysis through well log, vertical seismic profiling (VSP), and seismic data from a hydrocarbon field in Kuwait. In addition, we use VSP data to cross-check the retrieved Greens functions and estimate the scaling factor of the Marchenko method. The results show that 1) the poor imaging at the center of the field is due to destructive interference of internal multiples, 2) the reverberation of internal multiples between the evaporite formations of the overburden are the most likely candidates that affect the seismic images of the Jurassic reservoirs, 3) the retrieved Greens functions conform to the recorded Greens functions from VSP data, and 4) Marchenko imaging provides a means to improve the seismic images of the Jurassic formations in Kuwait.

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3D surface-related and interbed multiples attenuation on 5D-interpolated OVT data from a single-sensor survey in Kuwait

Cited by 2 publications

References 0 publications

Robust estimation of primaries by sparse inversion and Marchenko equation-based workflow for multiple suppression in the case of a shallow water layer and a complex overburden: A 2D case study in the Arabian Gulf

Robust estimation of primaries by sparse inversion and Marchenko equation-based workflow for multiple suppression in the case of a shallow water layer and a complex overburden: A 2D case study in the Arabian Gulf

Marchenko imaging assisted by vertical seismic profiling data for land seismic data in the Middle East

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