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Материал конференции: "Труды Международной конференции по компьютерной графике и зрению "Графикон", CEUR"
Авторы: Tolstaya E., Egorov A.
Segmentation of Seismic Images
In this paper we propose a method of seismic facies labeling. Given the three-dimensional image cube of seismic sounding data, labeled by a geologist, we first train on the part of the cube, then we propagate labels to the rest of the cube. We use open-source fully annotated 3D geological model of the Netherlands F3 Block. We apply state-of-the-art deep network architecture, adding on top a 3D fully connected conditional random field (CRF) layer. This allows to get smoother labels on data cube cross-sections. Pseudo labeling technique is used to overcome training data scarcity and predict more reliable labels for geological units. Additional data augmentation allows also to enlarge training dataset. The results show superior network performance over existing baseline mode.
Ключевые слова:
Seismic Facies Labeling, UNet, Domain Specific Augmentation, Pseudo Labels
Язык публикации: английский,  страниц: 7 (с. 564-570)
Полный текст на английском языке:
Экспорт ссылки на публикацию в формате:   RIS    BibTeX
Сведения об авторах:
  • Tolstaya Ekaterina,  orcid.org/0000-0002-8893-2683,  Aramco Research Center
  • Egorov Anton,  orcid.org/0000-0001-9139-6191,  Aramco Research Center