A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys

2024/09/08 by Hang Gao, Xinming Wu, Gao, Hang +11
Earth and Planetary Sciences · Engineering · #Drilling and Well Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Geological Modeling and Analysis #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Seismic Imaging and Inversion Techniques

paper · pdf · doi:10.48550/arxiv.2409.04962

openalex publication_date 2024/09/08 · openalex created_date 2024/10/23 · openalex updated_date 2026/07/28

Abstract

A multi-type geobody dataset for training SAG model, including channel, paloekarst, salt body, and so on. A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys ([2409.04962] A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys (arxiv.org))

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