Abstract
We have seen many developments in Marchenko equation-based methods for internal multiple attenuation in the past years. Starting from a wave-equation based method that required a smooth velocity model, there are now Marchenko equation-based methods that do not require any model information or user-input. In principle, these methods accurately predict internal multiples. Therefore, the role of the adaptive filter has changed for these methods. Rather than needing an aggressive adaptive filter to compensate for inaccurate internal multiple predictions, only a conservative adaptive filter is needed to compensate for minor amplitude and/or phase errors in the internal multiple predictions caused by imperfect acquisition and preprocessing of the input data. We demonstate that a conservative adaptive filter can be used to improve the attenuation of internal multiples when applying a Marchenko multiple elimination (MME) method to a 2D line of streamer data. In addition, we suggest that an adaptive filter can be used as a feedback mechanism to improve the preprocessing of the input data.
Original language | English |
---|---|
Title of host publication | 82nd EAGE Conference & Exhibition 2020 |
Subtitle of host publication | 8-11 June 2020, Amsterdam, The Netherlands |
Publisher | EAGE |
Pages | 1-3 |
Number of pages | 3 |
DOIs | |
Publication status | Published - 2020 |
Event | 82nd EAGE Annual Conference & Exhibition - Amsterdam, Netherlands Duration: 18 Oct 2021 → 21 Oct 2021 https://eage.eventsair.com/eageannual2021/ |
Conference
Conference | 82nd EAGE Annual Conference & Exhibition |
---|---|
Country/Territory | Netherlands |
City | Amsterdam |
Period | 18/10/21 → 21/10/21 |
Internet address |