Shot-Domain Data Reconstruction and Its Application to Suppression of 3D Surface-Related Multiples (2005)

Shot-Domain Data Reconstruction and Its Application to Suppression of 3D Surface-Related Multiples Anatoly Baumstein; Anatoly Baumstein ExxonMobil Upstream Research Co. Search for other works by this author on: This Site Google Scholar Mohamed T. Hadidi; Mohamed T. Hadidi ExxonMobil Upstream Research Search for other works by this author on: This Site Google Scholar David L. Hinkley David L. Hinkley ExxonMobil Upstream Research Search for other works by this author on: This Site Google Scholar Paper presented at the International Petroleum Technology Conference, Doha, Qatar, November 2005. Paper Number: IPTC-10585-MS https://doi.org/10.2523/IPTC-10585-MS Published: November 21 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Baumstein, Anatoly, Hadidi, Mohamed T., and David L. Hinkley. "Shot-Domain Data Reconstruction and Its Application to Suppression of 3D Surface-Related Multiples." Paper presented at the International Petroleum Technology Conference, Doha, Qatar, November 2005. doi: https://doi.org/10.2523/IPTC-10585-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsInternational Petroleum Technology ConferenceIPTC International Petroleum Technology Conference Search Advanced Search AbstractWe present a DMO-based technique for reconstruction of densely and regularly sampled shot records from conventional marine data. The reconstruction process allows us to overcome aliasing that typically affects marine data in the cross-line direction and enables us to apply high-end processing techniques, such as 3D SRME, to conventional marine data without imposing additional acquisition requirements. A low-cost version of our reconstruction method, which is particularly suitable for use as a part of a multiple-suppression processing flow, is introduced and its advantages and limitations discussed.An example of performing data reconstruction for a conventional marine field dataset, followed by application of 3D SRME, is presented. This field data example is used to illustrate how the choice of data reconstruction method impacts the quality of multiple suppression.IntroductionMany advanced seismic processing techniques, such as 3D surface-related multiple suppression (SRME) and 3D shot-record wave-equation migration (SRWEM), require regularly and densely sampled input data. In particular, 3D SRME requires dense sampling of both shots and receivers, while SRWEM efficiency is a function of the number of shot records in the data set. Current marine acquisition geometries do not provide the data suitable for either one of the above processing algorithms. In the case of 3D SRME, shot (and to a lesser degree, streamer) crossline spacing is too coarse for the algorithm to predict 3D multiples correctly. In the case of SRWEM, run times could be greatly reduced if multiple shot records could be combined in one "super-shot", thus reducing the total number of shot records.We discuss a DMO-based method for transforming conventional marine data into an equivalent set of data on a finely sampled regular and dense grid including all source-to-receiver azimuths. The new data are equivalent in the sense that a migration code would accurately map a reflection event associated with a single subsurface interface in the new data to the same subsurface locations as the corresponding data in the input data set. Keywords: multiple suppression, baumstein, exxonmobil upstream research co, application, reservoir characterization, streamer, conventional marine data, arrow point, data reconstruction, hadidi Subjects: Reservoir Characterization, Seismic processing and interpretation This content is only available via PDF. 2005. International Petroleum Technology Conference You can access this article if you purchase or spend a download.