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An internal-multiple elimination algorithm for all first-order internal multiples for a 1D earth
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|Authors:||Yanglei Zou; Weglein, Arthur B.|
|Author Affiliations:||Primary: |
University of Houston, M-OSRP/Physics Dept., Houston, TX, United States
|Volume Title:||Society of Exploration Geophysicists international exposition and eighty-fifth annual meeting; technical program expanded abstracts|
|Source:||SEG Technical Program Expanded Abstracts, Vol.34, p.4408-4412; Society of Exploration Geophysicists international exposition and eighty-fifth annual meeting, New Orleans, LA, Oct. 18-23, 2015, edited by Anonymous. Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States. ISSN: 1949-4645|
|Summary:||The ISS (Inverse-Scattering-Series) internal-multiple attenuation algorithm (Araújo et al. (1994), Weglein et al. (1997) and Weglein et al. (2003)) can predict the correct time and approximate amplitude for all first-order internal multiples without any subsurface information. When combined with an energy minimization adaptive subtraction, the ISS internal multiple attenuation algorithm can effectively remove internal multiples when the primaries and internal multiples are separated, and not overlapping or proximal. One of issues that the adaptive subtraction is addressing is the difference between the amplitude of the internal multiple and the approximate amplitude of the attenuation algorithm prediction. However, under certain circumstances, both offshore and onshore, internal multiples are often proximal to or interfering with primaries and the criteria of adaptive subtraction may fail, since the energy can increase when e.g., a multiple is removed from an interfering primary. Therefore, in these situations, the task of removing internal multiples without damaging primaries becomes more challenging and subtle and currently beyond the collective capability of the petroleum industry. Weglein (2014) proposed a three-pronged strategy for providing an effective response to this pressing and prioritized challenge. One part of the strategy is to develop an internal-multiple elimination algorithm that can predict both the correct amplitude and correct time for all internal multiples. In this paper, we provide an ISS internal-multiple elimination algorithm for all first-order internal multiples generated from all reflectors in a 1D earth and provide an example from an elastic synthetic data that shows the value provided by the new algorithm in comparison with the value provided by the internal multiple attenuation algorithm.|
|Subjects:||Algorithms; Attenuation; Earth; Elastic waves; Geophysical methods; Offshore; One-dimensional models; Onshore; Prediction; Seismic methods; Seismic waves|
|Copyright Information:||GeoRef, Copyright 2021 American Geosciences Institute. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States|
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