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- W2316561628 abstract "Summary The need for 4D co-processing of Towed Streamer (TS) and Ocean-Bottom Node (OBN) data occurs in time-lapse projects where production infrastructure is installed between baseline and monitor surveys. It can also occur early in a planned OBN time-lapse campaign where the first OBN survey uses a legacy TS exploration dataset as a baseline. However, TS and OBN surveys sample the wavefield in very different ways, particularly when the OBN array is sparse. Consequently, similarity of TS and OBN surface acquisition coordinates is not a good proxy for similar wavefield sampling, and is not an indicator of low levels of 4D noise. In this contribution the problem of 4D processing for TS and sparse OBN data is explored using combinations of decimation, interpolation, and redatuming to match the sampling and information properties of the two datasets. Results show that 4D noise levels are lowest when the matching method explicitly models the baseline and monitor wavefields in the subsurface. Accurate matching requires a significant increase of effort and technology over methods that consider only surface properties in the 4D matching algorithm." @default.
- W2316561628 created "2016-06-24" @default.
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- W2316561628 date "2013-08-19" @default.
- W2316561628 modified "2023-09-27" @default.
- W2316561628 title "4D processing for towed streamers and sparse ocean-bottom nodes" @default.
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- W2316561628 doi "https://doi.org/10.1190/segam2013-0513.1" @default.
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