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BEGIN:VEVENT
DTSTAMP:20260624T171340Z
LOCATION:Bldg. 8 - Entrance Hall
DTSTART;TZID=Europe/Stockholm:20260630T173000
DTEND;TZID=Europe/Stockholm:20260630T194500
UID:submissions.pasc-conference.org_PASC26_sess135_posC107@linklings.com
SUMMARY:ACMP02 - Data Augmentation to Improve the Performance of Deep Lear
 ning-Based Seismic Inversion
DESCRIPTION:Carlos Gomes de Carvalho Junior (Universidade Federal de São C
 arlos)\n\nDeep Learning-based Seismic Inversion (DLI) is a promising alter
 native to Full Waveform Inversion (FWI), but struggles with data scarcity.
  This work evaluates data augmentation techniques adapted from computer vi
 sion to address this bottleneck, and demonstrates that generating syntheti
 c earth models, even those introducing features that aren’t present in the
  source data, can significantly improve inversion accuracy.\n\n
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