Kai Zhang

Frequency-Modulated Spiral Manifold: A Model for Temporal Knowledge Graph Completion

Xindong You, Kai Long, Zhaojun Wang, Likun Lu et autres

Temporal knowledge graph completion (TKGC) infers missing facts by modeling the temporal evolution of relations. Existing methods typically encode time through low-dimensional geometric transformations or frequency-domain decomposition. However, periodically recurring relations can still be mapped to overlapping trajectories in the same two-dimensional …

cn (code pays fourni par la source)

Variance-Preserving Ensemble Smoother with Multiple Data Assimilation for History Matching with Diagonal Observation Error Covariance

Jinding Zhang, Piyang Liu, Kai Zhang, Liming Zhang et autres

Summary The ensemble smoother with multiple data assimilation (ESMDA) is widely used for reservoir history matching because of its parallel computational efficiency and ease of implementation. Production data in high-dimensional reservoir applications are often correlated across time, wells, and response types. When …

cn (code pays fourni par la source)

Fast reactive transport simulation for CO2 sequestration accelerated by hybrid numerical modeling and deep learning

Yongfei Yang, Xiaorui Chen, Yingwen Li, Hai Sun et autres

cn (code pays fourni par la source)

Geological Inverse Problem‐Solving Method Based on Diffusion Models

Kai Zhang, Wenfu Zhao, Piyang Liu, Jinding Zhang et autres

Abstract Traditional geological parameter inversion methods often require repeated forward simulations for history matching, leading to high computational cost and limited inversion efficiency. Their performance may also be restricted when geological fields exhibit strong non‐Gaussian characteristics. To address these challenges, this study …

cn (code pays fourni par la source)

Multiscale Research on Novel CO2-Responsive Plugging Agents for Enhanced Oil Recovery in Fractured Low-Permeability Reservoirs

Lianjie Hou, Junrong Liu, Binfei Li, Ze Zhou et autres

Summary Low-permeable reservoirs usually exhibit the characteristics of complex fracture networks and strong heterogeneity, which contribute to fast breakthrough and low sweep efficiency during CO2 flooding. The existing plugging agents exhibit poor plugging performance, and their mechanisms and patterns are unclear. Based …

cn, ru (code pays fourni par la source)

Research progress of room-temperature terahertz detectors based on two-dimensional materials

Zhuo Dong, Xunyi Zhou, Hongkun Hao, Xicheng Yang et autres

太赫兹辐射具有低光子能量、高透射性、高带宽及分子指纹谱特性, 在国防安全、无损检测、6G通信和生物医学等领域展现出重要应用潜力. 太赫兹探测作为太赫兹核心技术之一, 对于推动太赫兹系统的变革性发展与应用具有重要意义. 然而, 室温下传统光电响应机制难以实现对低光子能量(meV量级)太赫兹波的高效探测, 无法实现高灵敏被动探测, 即灵敏度难以突破1 pW/Hz1/2, 存在“室温鸿沟”, 且响应频段集中在低频(＜0.3 THz)范围. 因此, 室温、宽谱、高速、高灵敏太赫兹探测仍面临严峻挑战. 近年来, 二维材料因其优异的内禀载流子输运特性与光电性质, 易于调控与集成等, 被视为理想的太赫兹光电子材料, 在太赫兹探测领域引起了广泛关注. 目前, 基于二维材料的太赫兹探测器相继被报道, 太赫兹响应机制(如等离子体波机制、光热电机制和非线性响应机制等)与探测器架构(超短沟道、非对称结构以及微结构集成等)的研究也在不断深入, 室温探测性能得到进一步提升, 在灵敏度、响应速度和频段等方面表现出显著优势. 基于此, 本文首先介绍了二维材料室温太赫兹探测的基本原理和主要性能指标, 并重点从二维材料太赫兹探测物理机制、器件结构与工艺、集成技术与系统应用三个角度，综述了二维材料室温太赫兹探测器的最新研究进展, 最后展望该领域的未来发展方向.

Adaptive mixed mutation for unsupervised feature selection using differential evolution

Xuechen Mu, Junhong Liu, Siyang Wang, haotian Zhang et autres

cn, us (code pays fourni par la source)

Spatiotemporal neural network with attention embeddings as surrogate for reservoir automatic history matching

Kai Zhang, Piyang Liu, Jinding Zhang, Jiahui Shen et autres

Neural network surrogate modeling offers a viable alternative to the computationally intensive numerical simulations typically used in reservoir history matching. However, developing surrogates that maintain high accuracy while remaining adaptable to realistic reservoir conditions remains a significant challenge. Motivated by practical reservoir …

cn (code pays fourni par la source)

3D Pore-Scale Study of Dynamic Interfacial Interactions Effects in Natural Porous Rocks with Various Pore Structures

Haoyun Li, Yongfei Yang, Q. Zhang, Zhenxiao Shang et autres

Summary Dynamic fluid-fluid and fluid-rock interactions commonly take place during subsurface reservoir exploitation, such as low-salinity waterflooding (LSWF) and carbon dioxide (CO2) enhanced oil recovery (EOR). A fundamental understanding of the two-phase flow behavior under conditions of dynamic interfacial interactions is essential …

cn (code pays fourni par la source)

Isothermal Pyrolysis of Coal Based on ReaxFF: Product Evolution, Microscopic Reaction Mechanisms, and Kinetic Analysis

Yongfei Yang, Haoran Dong, Huaisen Song, Yingwen Li et autres

cn (code pays fourni par la source)

Wasserstein-Aligned iTransformer for Cross-Well Multivariate Forecasting in Shale Gas Wells

Zhihao Lü, Liming Zhang, Yanli Luo, Wang Weiyang et autres

cn (code pays fourni par la source)

A prior knowledge-guided convolutional neural network model for predicting fetal brain age from MRI during second and third trimesters

Fangmei Zhu, Shijie Huang, Xue Tang, Kai Zhang et autres

This study aimed to evaluate the efficacy of a convolutional neural network (CNN) model in estimating fetal brain age from MRI scans during second and third trimesters. A total of 407 T2-weighted MRI including 2310 stacks in the axial, sagittal, and coronal …

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