GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Publication Date: 2024-04-20
    Description: The data set comprises a wide-angle reflection/refraction profile and adjacent multi-channel seismic data, which have been recorded between 28 August and 18 September 2009 around the island of Sao Miguel / Azores. The main purpose was to unravel the volcano-tectonic evolution of Sao Miguel island, which is part of the south-eastern Terceira rift. For the wide-angle reflection/refraction profile we used ocean-bottom-hydrophones and land station for recordings and up to three 32 liter BOLT airguns as the seismic source. Four GI-Guns and a digital 144 channel streamer of 600 m active length were used for the multi-channel seismic measurements. All data are post-stack time migrated. For more details see Hübscher and Gohl (2014). All data have been collected during RV METEOR expedition M79/2 (Hübscher, 2013).
    Keywords: Binary Object; Binary Object (File Size); ELEVATION; Event label; File content; HH09-01 to HH09-11; HH09-12 to HH09-23; HH09-24/HH09-24b; HH09-27 to HH09-50; LATITUDE; Latitude 2; LONGITUDE; Longitude 2; M79/2; M79/2_710-1; M79/2_711-1; M79/2_712-1; M79/2_713-1; M79/2_714-1; M79/2_715-1; M79/2_716-1; M79/2_717-1; M79/2_718-1; M79/2_719-1; M79/2_721-1; M79/2_723-1; M79/2_724-1; M79/2_725-1; M79/2_727-1; M79/2_728-1; M79/2_729-1; M79/2_730-1; M79/2_731-1; M79/2_733-1; M79/2_759-1; MCSEIS; Meteor (1986); Multichannel seismics; N1; N2; N3; N4; N5; N6; N7; N8; OBH; OBS; Ocean bottom hydrophone; Ocean bottom seismometer; S11; S12; S13; S14; S15; S16; S17; S18; S9; Seismic refraction profile; SEISREFR
    Type: Dataset
    Format: text/tab-separated-values, 62 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Betzler, Christian; Lindhorst, Sebastian; Lüdmann, Thomas; Weiß, Benedikt; Wunsch, Marco; Braga, Juan-Carlos (2015): The leaking bucket of a Maldives atoll: Implications for the understanding of carbonate platform drowning. Marine Geology, 366, 16-33, https://doi.org/10.1016/j.margeo.2015.04.009
    Publication Date: 2024-04-16
    Description: Seismic and multibeam data, as well as sediment samples were acquired in the South Malé Atoll in the Maldives archipelago in 2011 to unravel the stratigraphy and facies of the lagoonal deposits. Multichannel seismic lines show that the sedimentary succession locally reaches a maximum thickness of 15-20 m above an unconformity interpreted as the emersion surface which developed during the last glacial sea-level lowstand. Such depocenters are located in current-protected areas flanking the reef rim of the atoll or in infillings of karst dolinas. Much of the 50 m deep sea floor in the lagoon interior is current swept, and has no or very minor sediment cover. Erosive current moats line drowned patch reefs, whereas other areas are characterized by nondeposition. Karst sink holes, blue holes and karst valleys occur throughout the lagoon, from its rim to its center. Lagoonal sediments are mostly carbonate rubble and coarse-grained carbonate sands with frequent large benthic foraminifers, Halimeda flakes, red algal nodules, mollusks, bioclasts, and intraclasts, some of them glauconitic, as well as very minor ooids. Finer-grained deposits locally are deposited in current-protected areas behind elongated faros, i.e., small atolls which are part of the rim of South Malé Atoll. The South Malé Atoll is a current-flushed atoll, where water and sediment export with the open sea is facilitated by the multiple passes dissecting the atoll rim. With an elevated reef rim and tower-like reefs in the atoll interior it is an example of a leaky bucket atoll which shares characteristics of incipiently drowned carbonate banks or drowning sequences as known from the geological record.
    Keywords: ARGOS satellite-linked dive recorder SDR-T10; DATE/TIME; Depth, bathymetric; DEPTH, sediment/rock; ECHO; Echosounder; Grab; GRAB; Grain size, sieving; LATITUDE; LONGITUDE; Maldives; Maldives archipelago, Indian ocean; Positioning type/details; Sample code/label; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 0.063 mm, sand; Size fraction 〉 0.250 mm; Size fraction 〉 0.500 mm, gravel; Size fraction 〉 2 mm, gravel
    Type: Dataset
    Format: text/tab-separated-values, 426 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2021-07-21
    Description: High-frequency multichannel seismic systems provide detailed images of the shallow marine subsurface. In order to exploit the redundancy inherent in such data optimally, traveltime corrections need to account for normal moveout and static effects due to vertical source and receiver variations. Misalignment of reflections in common-midpoint gathers will significantly lower the frequency content in the final stack, making this correction particularly important for very high-frequency seismic data. Traditionally, normal moveout correction involves labour-intensive picking of stacking velocities, while static corrections can be, by some techniques, performed automatically. In this paper, we present a high-frequency seismic case study from the Baltic Sea, using seismic image matching as a novel, fully automated technique to perform joint moveout and static corrections. Our multichannel test profiles were acquired offshore Rügen island for wind farm development. Owing to the regular passage of up to 1.5 m high ocean waves during data acquisition, these boomer profiles suffer from strong static effects. We perform joint normal moveout and static corrections by defining the nearest common offset section as a fixed reference frame and minimizing its difference in traveltime with respect to all available common offset sections. Time shifts are computed independent of a pre-defined traveltime curve, using the normalized cross-correlation as a measure of data similarity while penalizing irregular displacements by a regularization term. Time shifts are converted to stacking velocities based on the traditional hyperbolic traveltime equation. Our results are compared with those derived by conventional manual velocity analysis and subsequent trim static corrections. We find that image matching produces stacks of similar quality and stacking velocity models of similar to slightly better quality compared with the conventionally derived ones, revealing the potential of this technique to automatize and significantly speed up this first part of the seismic processing chain.
    Keywords: 622.1592 ; 550.285 ; Boomer ; Offshore wind farm site survey ; Seismic processing ; Seismic image matching ; Velocity analysis
    Language: English
    Type: article
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...