Shuyi Du

High-fidelity spatiotemporal evolution of CO₂ storage in saline aquifers: A physics-synergized deep learning framework for CO₂ plume prediction and super-resolution reconstruction

Shuyi Du, Sijia Wang, Qitao Zhang

Abstract Precise forecasting of spatiotemporal CO₂ plume evolution in deep saline aquifers is imperative for ensuring the long-term integrity and efficacy of carbon capture and storage. However, a persistent dichotomy exists in current modeling paradigms: high-fidelity numerical simulations suffer from computational intractability, …

cn, us (code pays fourni par la source)

Enhanced PINN prediction of hydraulic fracture propagation in reservoirs with complex natural fractures

Min Zhang, Peng Liu, Shuyi Du, Jiulong Wang et autres

cn (code pays fourni par la source)

Physics-Informed Hybrid Transformer with Bayesian Optimization for Intelligent Geological CO 2 Sequestration Modeling

Shuyi Du, Sijia Wang, Qitao Zhang

High-fidelity spatiotemporal forecasting of CO 2 plume evolution in deep saline aquifers is essential for the long-term safety assessment of geological sequestration. However, traditional numerical simulations suffer from severe computational bottlenecks, while conventional surrogate models often lack physical consistency when they handle …

cn, us (code pays fourni par la source)

Spatiotemporal evolution of agricultural greenhouses based on remote sensing data: A case study of Weinan City in China

Maoteng Zheng, Jun Wu, Shuyi Du

The development of smart agriculture is inseparable from agricultural monitoring. Combining deep learning to monitor real-time changes in agricultural greenhouses can improve the accuracy of environmental perception and intelligent decision-making. As a major global agricultural country, China has widespread greenhouse vegetable cultivation, …

cn (code pays fourni par la source)

In-depth review of colloidal and interfacial fundamentals in fracturing development of deep coal seam methane

Jiulong Wang, Junming Lao, Yiyang Zhou, Xiaotian Luo et autres

cn (code pays fourni par la source)

Artificial General Intelligence (AGI) Applications and Prospect in Oil and Gas Reservoir Development

Jiulong Wang, Xiaotian Luo, Xuhui Zhang, Shuyi Du

The cornerstone of the global economy, oil and gas reservoir development, faces numerous challenges such as resource depletion, operational inefficiencies, safety concerns, and environmental impacts. In recent years, the integration of artificial intelligence (AI), particularly artificial general intelligence (AGI), has gained significant …

cn (code pays fourni par la source)

Ensemble learning algorithms based on easyensemble sampling for financial distress prediction

Wei Liu, Yoshihisa Suzuki, Shuyi Du

Abstract Ensemble learning algorithms show good forecasting performances for financial distress in many studies. Despite considering the feature selection and feature importance procedures, most overlook imbalanced data handling. This study proposes the Easyensemble method based on undersampling and combines it with ensemble …

jp, cn (code pays fourni par la source)

A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge

Cong Zhang, Shuyi Du, Hongqing Song, Yuhe Wang

Estimating spatially distributed information through the interpolation of scattered observation datasets often overlooks the critical role of domain knowledge in understanding spatial dependencies. Additionally, the features of these data sets are typically limited to the spatial coordinates of the scattered observation locations. …

Reducing energy consumption and enhancing trapping and capacity of CO2 sequestration: The effects of pore heterogeneity and fluid properties

Junming Lao, Zhenhuan Xie, Shuyi Du, Yiyang Zhou et autres

us, cn (code pays fourni par la source)

Reducing Energy Consumption and Enhancing Trapping and Capacity of Co2 Sequestration: The Effects of Pore Heterogeneity and Fluid Properties

Junming Lao, Zhenhuan Xie, Shuyi Du, Yiyang Zhou et autres

cn (code pays fourni par la source)

A novel sequential-based hybrid approach incorporating physical modeling and deep learning for multiphase subsurface flow simulation

Shuyi Du, Jingyan Zhang, Ming Yue, Chiyu Xie et autres

cn, us (code pays fourni par la source)

An enhanced prediction framework for coalbed methane production incorporating deep learning and transfer learning

Shuyi Du, Meizhu Wang, Jiaosheng Yang, Yang Zhao et autres

cn (code pays fourni par la source)