Computationally efficient multiscale neural networks applied to fluid flow in complex 3D porous media
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 …
This quantity can be obtained via direct flow simulation, which provides the most accurate …
Shale fundamentals: Experimental and modeling insights
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 …
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
Physical processes that occur within porous materials have wide-ranging applications
including-but not limited to-carbon sequestration, battery technology, membranes, oil and …
including-but not limited to-carbon sequestration, battery technology, membranes, oil and …
[HTML][HTML] Using machine learning to predict multiphase flow through complex fractures
Multiphase flow properties of fractures are important in engineering applications such as
hydraulic fracturing, evaluating the sealing capacity of caprocks, and the productivity of …
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
Estimating residual oil saturation (Sor) post-waterflooding is critical for selecting enhanced
oil recovery strategies, further field development, and production prediction. We established …
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
Digital rock images are computational representations that capture the geometrical
complexity of systems present ubiquitously in nature. In recent years, their use has become …
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 …
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
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 …
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 …
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
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 …
models with physics‐based simulations, aiming at reducing the computational costs of flow …