most citedEnhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Parameterization method of reservoir properties for ensemble-based data assimilation using intermediate latent space of StyleGAN

Marcio A. Sampaio, Paulo H. Ranazzi, Martin J. Blunt

Ensemble smoothers are the most successful and efficient techniques currently available for history matching. However, because these methods rely on Gaussian assumptions, their per…

cs.CV2026

SAMamba3D: adapting Segment Anything for generalizable 3D segmentation of multiphase pore-scale images

Rui Zhang, Xianzhi Song, Linqi Zhu +3

Reliable segmentation of multiphase pore-scale X-ray images of rocks is necessary to quantify fluid saturation, connectivity, and interfacial geometry. However, current 3D segmenta…

cs.LG2026★ 1 cited

Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN

M. A. Sampaio, P. H. Ranazzi, M. J. Blunt

Currently, the methods called Iterative Ensemble Smoothers, especially the method called Ensemble Smoother with Multiple Data Assimilation (ESMDA) can be considered state-of-the-ar…

cs.LG2026

Learning Pore-scale Multiphase Flow from 4D Velocimetry

Chunyang Wang, Linqi Zhu, Yuxuan Gu +9

Multiphase flow in porous media underpins subsurface energy and environmental technologies, including geological CO storage and underground hydrogen storage, yet pore-scale dyn…

cs.CE2025

Spatially Distributed Wettability Characterization in Porous Media

Faisal Aljaberi, Hadi Belhaj, Sajjad Foroughi +2

An enhanced geometric algorithm for automated pore-by-pore contact angle measurement from micro-CT images, is presented that achieves superior accuracy compared to existing methods…