8 citations · 26 across the 5 of their papers we have counts for
5 papers
Memory-Efficient Super-Resolution of 3D Micro-CT Images Using Octree-Based GANs: Enhancing Resolution and Segmentation Accuracy
Evgeny Ugolkov, Xupeng He, Hyung Kwak +1
We present a memory-efficient algorithm for significantly enhancing the quality of segmented 3D micro-Computed Tomography (micro-CT) images of rocks using a generative model. The p…
Super-Resolution of 3D Micro-CT Images Using Generative Adversarial Networks: Enhancing Resolution and Segmentation Accuracy
Evgeny Ugolkov, Xupeng He, Hyung Kwak +1
We develop a procedure for substantially improving the quality of segmented 3D micro-Computed Tomography (micro-CT) images of rocks with a Machine Learning (ML) Generative Model. T…
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model
Zhaoyang Ma, Xupeng He, Shuyu Sun +3
Accurate image segmentation is crucial in reservoir modelling and material characterization, enhancing oil and gas extraction efficiency through detailed reservoir models. This pre…
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks
Zhaoyang Ma, Xupeng He, Hyung Kwak +3
In digital rock physics, analysing microstructures from CT and SEM scans is crucial for estimating properties like porosity and pore connectivity. Traditional segmentation methods…
Optimization and uncertainty quantification model for time-continuous geothermal energy extraction undergoing re-injection
Hussein Hoteit, Xupeng He, Bicheng Yan +1
Geothermal field modeling is often associated with uncertainties related to the subsurface static properties and the dynamics of fluid flow and heat transfer. Uncertainty quantific…