WebGordon POOLE, Margherita MARASCHINI, Risto Siliqi, 2015, Method and device for de-blending seismic data using source signature, US 20150234066 A1, WO 2015001058 A3. Margherita Maraschini, 2014, Method and device for attenuating random noise in seismic data, EP2784552A2, US20140288842, CA 28459, SG10201400830YA. WebMaraschini, Margherita SPE Disciplines. Highlight matches. Any in SPE Disciplines (4) Conference. 2010 SEG Annual Meeting (1) 2012 SEG Annual Meeting (1) 2013 SEG …
Record-length extension by rank-reduction de-blending
WebMargherita Maraschini Senior researcher and Data Scientist 2mo Report this post Report Report. Back ... WebAuthors: Margherita Maraschini, Sergio Grion. Summary: A blended dataset is nothing but an unblended dataset generated by a blended source, and if the source signature of this blended source is known, the dataset can be de-blended by deconvolution. This paper illustrates a new methodology that uses this idea to perform source separation when ... marta piovesan psicologa
Margherita Maraschini’s Post - LinkedIn
WebUser Tools Dropdown WebMaraschini, M., Dyer, R., Stevens, K. and Bird, D. [2012]. Source separation by iterative rank reduction - Theory and applications. 74th EAGE, Extended Abstracts, A044. . , WebAuthors: Margherita Maraschini, Audrey Kielius, Janet Barnes, Sergio Grion Summary: Would you throw away data just because it was not intentionally recorded? This is often the case when dealing with continuous recording systems, where prior to processing the data is divided up into shot records which exclude the overlap from the next shot. data east logo png