6 papers
SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior
Huseyin Tuna Erdinc, Ipsita Bhar, Rafael Orozco +2
Recent advances in generative networks have enabled new approaches to subsurface velocity model synthesis, offering a compelling alternative to traditional methods such as Full Wav…
Full-waveform variational inference with full common-image gathers and diffusion network
Yunlin Zeng, Huseyin Tuna Erdinc, Rafael Orozco +1
Accurate seismic imaging and velocity estimation are essential for subsurface characterization. Conventional inversion techniques, such as full-waveform inversion, remain computati…
Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology
Abhinav Prakash Gahlot, Rafael Orozco, Felix J. Herrmann
Geological Carbon Storage (GCS) is a key technology for achieving global climate goals by capturing and storing CO2 in deep geological formations. Its effectiveness and safety rely…
Probabilistic Joint Recovery Method for CO Plume Monitoring
Zijun Deng, Rafael Orozco, Abhinav Prakash Gahlot +1
Reducing CO emissions is crucial to mitigating climate change. Carbon Capture and Storage (CCS) is one of the few technologies capable of achieving net-negative CO emission…
Machine learning-enabled velocity model building with uncertainty quantification
Rafael Orozco, Huseyin Tuna Erdinc, Yunlin Zeng +2
Accurately characterizing migration velocity models is crucial for a wide range of geophysical applications, from hydrocarbon exploration to monitoring of CO2 sequestration project…
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…