@article{fdi:010076066, title = {{C}rustal-scale depth imaging via joint full-waveform inversion of ocean-bottom seismometer data and pre-stack depth migration of multichannel seismic data : a case study from the eastern {N}ankai {T}rough}, author = {{G}orszczyk, {A}. and {O}perto, {S}. and {S}chenini, {L}aure and {Y}amada, {Y}.}, editor = {}, language = {{ENG}}, abstract = {{I}maging via pre-stack depth migration ({PSDM}) of reflection towed-streamer multichannel seismic ({MCS}) data at the scale of the whole crust is inherently difficult. {T}his is because the depth penetration of the seismic wavefield is controlled, firstly, by the acquisition design, such as streamer length and air-gun source configuration, and secondly by the complexity of the crustal structure. {I}ndeed, the limited length of the streamer makes the estimation of velocities from deep targets challenging due to the velocity-depth ambiguity. {T}his problem is even more pronounced when processing 2-{D} seismic data due to the lack of multi-azimuthal coverage. {T}herefore, in order to broaden our knowledge about the deep crust using seismic methods, we present the development of specific imaging workflows that integrate different seismic data. {H}ere we propose the combination of velocity model building using (i) first-arrival tomography ({FAT}) and full-waveform inversion ({FWI}) of wide-angle, long-offset data collected by stationary ocean-bottom seismometers ({OBS}s) and (ii) {PSDM} of short-spread towed-streamer {MCS} data for reflectivity imaging, with the former velocity model as a background model. {W}e present an application of such a workflow to seismic data collected by the {J}apan {A}gency for {M}arine-{E}arth {S}cience and {T}echnology ({JAMSTEC}) and the {I}nstitut {F}rancais de {R}echerche pour l'{E}xploitation de la {M}er ({IFREMER}) in the eastern {N}ankai {T}rough ({T}okai area) during the 2000-2001 {S}eize {F}rance {J}apan ({SFJ}) experiment. {W}e show that the {FWI} model, although derived from {OBS} data, provides an acceptable background velocity field for the {PSDM} of the {MCS} data. {F}rom the initial {PSDM}, we refine the {FWI} background velocity model by minimizing the residual move-outs ({RMO}s) picked in the pre-stack-migrated volume through slope tomography ({ST}), from which we generate a better-focused migrated image {S}uch integration of different seismic datasets and leading-edge imaging techniques led to greatly improved imaging at different scales. {T}hat is, large to intermediate crustal units identified in the high-resolution {FWI} velocity model extensively complement the short-wavelength reflectivity inferred from the {MCS} data to better constrain the structural factors controlling the geodynamics of the {N}ankai {T}rough.}, keywords = {{MER} {DU} {JAPON} ; {NANKAI} {FAILLE}}, booktitle = {}, journal = {{S}olid {E}arth}, volume = {10}, numero = {3}, pages = {765--784}, ISSN = {1869-9510}, year = {2019}, DOI = {10.5194/se-10-765-2019}, URL = {https://www.documentation.ird.fr/hor/fdi:010076066}, }