2025_programme: Analysis of water column stratification from high-resolution seismic data along the Ecuadorian margin
- Day: June 19, Thursday
Location / Time: TBA at 15:30 - 16:30
- Last minutes changes: -
- Session: Poster session
Organiser(s): N/A
Chairperson(s): N/A
- Lecture: Analysis of water column stratification from high-resolution seismic data along the Ecuadorian margin
Paper ID: 2200
Author(s): Clara Lebourgeois, Laure Schenini, Jean-Xavier Dessa, Audrey Galve, François Michaud
Presenter: Clara Lebourgeois
Abstract: Seismic surveys dedicated to the study of the earth's internal structures often neglect signals recorded in the water column. This general observation was made for the SUPER-MOUV campaign carried out offshore Ecuador in January 2024, the objectives of which were to characterize the effects of the Pedernales earthquake (2016, Mw 7.8) on the superficial sedimentary structures and the distribution of fluid seepage along the Ecuadorian margin. During this survey, more than 750 km of high-resolution seismic reflection profiles were recorded using a 4 miniGi-gun source with a total volume of 120 ci and a frequency content ranging from 10 to 350 Hz, the data were recorded with a streamer including 96 active traces with a total length of 600 m. Data processing reveals signals in the water column that are related to thermohaline structures. They are observed from shallow waters on the continental shelf to several hundred meters on the continental slope and abyssal plain. Furthermore, these features can be correlated with observables from other datasets recorded during the survey –hydrographic, bathymetric, sub-bottom profiler data and dive video data– to see how ocean circulation affects seabed sedimentation. This work presents the specific processing workflow applied to the seismic reflection data within the water column and the mapping of the visible ocean stratification obtained in combination with other geophysical measurements and digital observations. This study shows how multi-disciplinary use can be made of data from sub-seabed investigation campaigns.
- Corresponding author: Ms Clara Lebourgeois
Affiliation: 2Université Côte d'Azur, CNRS, IRD, Observatoire de la Côte d'Azur, Géoazur
Country: France