English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In recent years, a variety of Marchenko methods for the attenuation ofinternal multiples has been developed. These methods have been extensivelytested on 2D synthetic data and applied to 2D field data, but only little isknown about their behaviour on 3D synthetic data and 3D field data.Particularly, it is not known whether Marchenko methods are sufficiently robustfor sparse acquisition geometries that are found in practice. Therefore, westart by performing a series of synthetic tests to identify the key acquisitionparameters and limitations that affect the result of 3D Marchenko internalmultiple prediction and subtraction using an adaptive double-focusing method.Based on these tests, we define an interpolation strategy and use it for thefield data application.

3D Marchenko internal multiple attenuation on narrow azimuth streamer data of the Santos Basin, Brazil