most citedAn uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring

10 citations · 14 across the 2 of their papers we have counts for

collaborators

10 papers

physics.geo-ph202410 cited

An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring

Abhinav Prakash Gahlot, Rafael Orozco, Ziyi Yin +1

Geological Carbon Storage GCS is arguably the only scalable net-negative CO2 emission technology available While promising subsurface complexities and heterogeneity of reservoir pr…

physics.geo-ph2024

WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction

Ziyi Yin, Rafael Orozco, Felix J. Herrmann

We present a semi-amortized variational inference framework designed for computationally feasible uncertainty quantification in 2D full-waveform inversion to explore the multimodal…

physics.geo-ph2024

Superstep wavefield propagation

Tamas Nemeth, Kurt Nihei, Alex Loddoch +10

This paper describes how to propagate wavefields for arbitrary numbers of traditional time steps in a single step, called a superstep. We show how to construct operators that accom…

physics.geo-ph20244 cited

A Digital Twin for Geological Carbon Storage with Controlled Injectivity

Abhinav Prakash Gahlot, Haoyun Li, Ziyi Yin +2

We present an uncertainty-aware Digital Twin (DT) for geologic carbon storage (GCS), capable of handling multimodal time-lapse data and controlling CO2 injectivity to mitigate rese…

physics.geo-ph2024

Time-lapse full-waveform permeability inversion: a feasibility study

Ziyi Yin, Mathias Louboutin, Olav Møyner +1

Time-lapse seismic monitoring necessitates integrated workflows that combine seismic and reservoir modeling to enhance reservoir property estimation. We present a feasibility study…

physics.geo-ph2023

WISE: full-Waveform variational Inference via Subsurface Extensions

Ziyi Yin, Rafael Orozco, Mathias Louboutin +1

We introduce a probabilistic technique for full-waveform inversion, employing variational inference and conditional normalizing flows to quantify uncertainty in migration-velocity…