Fine-scale velocity structure of upper oceanic crust from full waveform inversion of downward continued seismic reflection data at the Lucky Strike Volcano, Mid-Atlantic Ridge

Pore pressures higher than hydrostatic correspond to localized reductions of the level of shear stress required to induce lateral mass movement in a slope, and therefore play a key role in preconditioning submarine landsliding. In this paper, we investigate whether multi-channel seismic reflection data can be used to infer potentially destabilizing pore-pressure levels at a resolution and sensitivity useful for in-situ slope stability characterization. We simulate the continuous deposition of sediment on consolidating slopes in two scenarios, with combinations of sedimentation rate and permeability distribution leading to disequilibrium compaction. Ultra-high-frequency (UHF; 0.2–2.5 kHz) seismic reflection data are computed for each model and a stochastic full waveform inversion (FWI) method is used to retrieve the sub-seabed properties from the computed seismograms. These are then interpreted as time–depth variations in the effective stress (σʹ) regime, and therefore local overpressure ratio and factor of safety, using a combination of p-wave velocity to σʹ transforms. The results demonstrate that multi-channel UHF seismic data can provide valuable constraints on the distribution of physical properties in the top 50 m below seabed at a sub-metric scale, and with a sensitivity useful to infer destabilizing excess pore pressure levels.Thematic collection: This article is part of the Measurement and monitoring collection available at: https://www.lyellcollection.org/cc/measurement-and-monitoring

Download Full-text

Waveform-Preserving Processing Flow of Multichannel Seismic Reflection Data for Adjoint-State Full-Waveform Inversion of Ocean Thermohaline Structure

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2017.2765747 ◽

2018 ◽

Vol 56 (3) ◽

pp. 1615-1625 ◽

Cited By ~ 6

Author(s):

Daniel Dagnino ◽

Valenti Sallares ◽

Cesar R. Ranero

Keyword(s):

Seismic Reflection ◽

Waveform Inversion ◽

Full Waveform Inversion ◽

Seismic Reflection Data ◽

Thermohaline Structure ◽

Reflection Data ◽

Full Waveform ◽

Adjoint State ◽

Multichannel Seismic Reflection ◽

Multichannel Seismic Reflection Data

Download Full-text

Layer-stripping full waveform inversion with damped seismic reflection data

Journal of Earth Science ◽

10.1007/s12583-011-0177-6 ◽

2011 ◽

Vol 22 (2) ◽

pp. 241-249 ◽

Cited By ~ 7

Author(s):

Aifei Bian ◽

Wenhui Yu

Keyword(s):

Seismic Reflection ◽

Waveform Inversion ◽

Full Waveform Inversion ◽

Seismic Reflection Data ◽

Reflection Data ◽

Full Waveform

Download Full-text

Stereotomography

Geophysics ◽

10.1190/1.2952039 ◽

2008 ◽

Vol 73 (5) ◽

pp. VE25-VE34 ◽

Cited By ~ 73

Author(s):

Gilles Lambaré

Keyword(s):

Seismic Reflection ◽

Waveform Inversion ◽

Data Cube ◽

Three Dimensions ◽

Seismic Reflection Data ◽

Depth Imaging ◽

Traveltime Tomography ◽

Reflection Data ◽

Full Waveform ◽

Efficiency And Reliability

Stereotomography was proposed [Formula: see text] ago for estimating velocity macromodels from seismic reflection data. Initially, the goal was to retain the advantages of standard traveltime tomography while providing an alternative to difficult interpretive traveltime picking. Stereotomography relies on the concept of locally coherent events characterized by their local slopes in the prestack data cube. Currently, stereotomography has been developed in two and three dimensions, and precious experience has been gained. The expected advantages have been demonstrated fully (in particular, the efficiency and reliability of the semiautomatic stereotomographic picking strategies), and further studies have increased the method’s potential and flexibility. For example, stereotomographic picking can now be done in either the prestack or poststack domain, in either the time (migrated or unmigrated) or depth domain. It appears that the theoretical frame of stereotomography can reconcile, very satisfactorily and efficiently, most methods proposed for velocity-macromodel estimation for depth imaging. Moreover, an extension of the method to full-waveform inversion already exists and opens the way for very interesting developments.

Download Full-text