====== SAIG-24 Presentations (2024) ======
Joaquin Acedo\\
* {{:sponsorsandstudents:saig24p:Joaquin1.pdf|Multi-source wavefield reconstruction technique}}
Joaquin Acedo\\
* {{:sponsorsandstudents:saig24p:Joaquin2.pdf|InADMMfor multi-source wavefield reconstruction}}
Alejandro Quiaro\\
* {{:sponsorsandstudents:saig24p:Alejandro1.pdf|Probabilistic joint inversion using Hamiltonia Monte Carlo The Dix-MT 1D case}}
Alejandro Quiaro\\
* {{:sponsorsandstudents:saig24p:Alejandro2.pdf|First arrival enhancment by static preserving filtering using surface-consistent constraints}}
Shukui Zhang\\
* {{:sponsorsandstudents:saig24p:Shukui.pdf|Improved AVA imaging for vector-based elastic reverse time migration using angle domain dot-product imaging condition}}
*
Yi Guo\\
* {{:sponsorsandstudents:saig24p:Yi1.pdf|Data-free optimal sparse seismic acquisition
based on Deep Reinforcement Learning approach: An example of vibroseis route design}}
Yi Guo\\
* {{:sponsorsandstudents:saig24p:Yi2.pdf|Optimal seismic sensor placement via Monte Carlo Tree search}}
Átila Saraiva Quintela Soares\\
* {{:sponsorsandstudents:saig24p:Atila1.pdf|Sequential Compression.jl: A ZFP lib wrapper for physical simulation compression}}
Átila Saraiva Quintela Soares\\
* {{:sponsorsandstudents:saig24p:Atila2.pdf|Effect of lossy ZFP compression on Least-squares Migration convergence}}
Kristian Torres\\
* {{:sponsorsandstudents:saig24p:kristian1.pdf|Enhanced RTM with neural network-based data-domain preconditioning}}
Kristian Torres\\
* {{:sponsorsandstudents:saig24p:kristian2.pdf|Advancing RWI with extended Least-squares RTM}}
Kristian Torres\\
* {{:sponsorsandstudents:saig24p:kristian3.pdf|Sparse vector reflectivity invesion with full-wavefield LSRTM}}
Akash Nair\\
* {{:sponsorsandstudents:saig24p:Akash_Nair.pdf|Reservoir characterization and capacity calculation for CO2 storage using AI/ML techniques in Gandha Oil Field, Cambay Basin, India}}
Mauricio D Sacchi\\
* {{:sponsorsandstudents:saig24p:Sacchi1.pdf|Robust tensor completion}}
Mauricio D Sacchi\\
* {{:sponsorsandstudents:saig24p:Sacchi2.pdf|SeisDenoise}}
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