SAIG-23 Presentations (2023)

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M D Sacchi

• Welcome

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Joaquin Acedo

• Dispersed source arrays for broadband seismic data adquisition

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Rongzhi Lin

• Interpolated fast and computational-efficient multidimensional Singular Spectrum Analysis (I-FMSSA) for compressive simultaneous-source data processing

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Yi Guo

• Optimal seismic sensor placement based on reinforcement learning: An example of OBN acquisition design

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Yi Guo

• Seismic Noise Attenuation via Learned and Analytical Basis Functions

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Alejandro Quiaro

• Efficient ray tracing on self-adapting random grids

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Kristian Torres

• Deep decomposition for thin-bed reflectivity inversion

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Kristian Torres

• Preconditioning least-squares migration with a deep-learning inverse Hessian approximation

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Rafael Manenti

• Data interpolation using Tensor Tree decomposition as rank-reduction method

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Honglin Chen

• Seismic reflectivity inversion via a Deep Image Prior

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M D Sacchi

• Parametric Dictionary Learning for extracting basis functions that resemble local seismic waveforms

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Outline of future PhD projects

• Future research project of Ajejandro Quiaro
• Future research project of Atila Saraiva Quintela Soares

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