Shot scheduling in simultaneous shooting (2014)

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2014Shot scheduling in simultaneous shootingAuthors: Ray Abma*Ray Abma*BPhttps://doi.org/10.1190/segam2014-0812.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Present practice for simultaneous source surveying is to separate shots using the randomness of the shot initiation times. Random shot times make the interference between shots appear as random noise in receiver or common-midpoint gathers. This interference between shots may then be removed either by random noise attenuation methods or by inversion methods that use the coherency of the signal as a criteria for separation. This shot time randomness is important to the quality of shot separation. If the random time differences are too small, separating the interference from the signal becomes difficult. The lowest frequency of interest determines the minimum range of the random time differences required. This minimum time range then determines the maximum number of sources that can be used simultaneously. Care must be taken to avoid undesired regularities in the scheduled shot times. While simple random number generators typically work well for scheduling shot times when a small number of shots are involved, we are generally dealing with very large numbers of shots. Spurious regularities in the random numbers generated may generate misleading events in the seismic images if care is not taken to avoid these undesired regularities. Keywords: acquisition, interpolation, marine, statistical, signal processingPermalink: https://doi.org/10.1190/segam2014-0812.1FiguresReferencesRelatedDetailsCited ByDeblending Method of Multisource Seismic Data Based on a Periodically Varying Cosine CodeIEEE Geoscience and Remote Sensing Letters, Vol. 18, No. 9Deblending of single-source self-interference in a deep-water marine 2D surveyTao Jiang, Yifeng Jiang, Joel Latchman, Milos Cvetkovic, and Mike Saunders1 September 2021Effects of periodically varying codes on separation of multisource blended data17 February 2022 | Applied Geophysics, Vol. 18, No. 3References4 February 2021Deblending multisource seismic data with periodically varying cosine code and sparse inversionMengyao Jiao, Tianyue Hu, Weikang Kuang, Yang Liu, and Shaohuan Zu30 September 2020Iterative deblending for simultaneous source data using the deep neural networkShaohuan Zu, Junxing Cao, Shan Qu, and Yangkang Chen30 January 2020 | GEOPHYSICS, Vol. 85, No. 2Shot coding design for popcorn shootingRay Abma27 August 2018A comparison of random and periodic marine simultaneous-source encodingDavid F. 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