Computationally efficient multiscale neural networks applied to fluid flow in complex 3D porous media

JE Santos, Y Yin, H Jo, W Pan, Q Kang… - Transport in porous …, 2021 - Springer
The permeability of complex porous materials is of interest to many engineering disciplines.
This quantity can be obtained via direct flow simulation, which provides the most accurate …

Shale fundamentals: Experimental and modeling insights

M Mehana, JE Santos, C Neil, JW Carey, G Guthrie… - Energy Reports, 2022 - Elsevier
Hydrocarbon production from shale reservoirs is inherently inefficient and challenging since
these are low permeability plays. In addition, there is a limited understanding of the …

A dataset of 3D structural and simulated transport properties of complex porous media

JE Santos, B Chang, A Gigliotti, Y Yin, W Song… - Scientific Data, 2022 - nature.com
Physical processes that occur within porous materials have wide-ranging applications
including-but not limited to-carbon sequestration, battery technology, membranes, oil and …

[HTML][HTML] Using machine learning to predict multiphase flow through complex fractures

AK Ting, JE Santos, E Guiltinan - Energies, 2022 - mdpi.com
Multiphase flow properties of fractures are important in engineering applications such as
hydraulic fracturing, evaluating the sealing capacity of caprocks, and the productivity of …

Estimating Residual Oil Saturation in Carbonate Rocks: A Combined Approach of Direct Simulation and Data-Driven Analysis

AS Rizk, M Tembely, W AlAmeri, EW Al-Shalabi… - SPE Journal, 2024 - onepetro.org
Estimating residual oil saturation (Sor) post-waterflooding is critical for selecting enhanced
oil recovery strategies, further field development, and production prediction. We established …

[HTML][HTML] 3D Dataset of binary images: A collection of synthetically created digital rock images of complex media

JE Santos, MJ Pyrcz, M Prodanović - Data in Brief, 2022 - Elsevier
Digital rock images are computational representations that capture the geometrical
complexity of systems present ubiquitously in nature. In recent years, their use has become …

[PDF][PDF] 高含水油田剩余油研究方法, 分布特征与发展趋势

王吉涛, 李俊键 - 油气地质与采收率, 2024 - yqdzycsl.cnjournals.com
为了提高高含水油田剩余油研究与评价效果, 基于大量文献调研, 梳理了剩余油的概念,
影响因素, 从剩余油微观分布, 宏观分布和饱和度定量分析3 个方面总结了剩余油研究方法及其 …

Accelerating Multiphase Flow Simulations with Denoising Diffusion Model Driven Initializations

J Chung, A Marcato, EJ Guiltinan, T Mukerji… - arXiv preprint arXiv …, 2024 - arxiv.org
This study introduces a hybrid fluid simulation approach that integrates generative diffusion
models with physics-based simulations, aiming at reducing the computational costs of flow …

Research methods, distribution characteristics, and development trend of remaining oil in high water cut oilfields

王吉涛, 李俊键 - Petroleum Geology and Recovery …, 2024 - yqdzycsl.cnjournals.com
为了提高高含水油田剩余油研究与评价效果, 基于大量文献调研, 梳理了剩余油的概念,
影响因素, 从剩余油微观分布, 宏观分布和饱和度定量分析 3 个方面总结了剩余油研究方法及其 …

Accelerating multiphase simulations with denoising diffusion model driven initializations

J Chung, A Marcato, EJ Guiltinan… - Journal of …, 2024 - Wiley Online Library
This study introduces a hybrid fluid simulation approach that integrates generative diffusion
models with physics‐based simulations, aiming at reducing the computational costs of flow …