Paper Review Records
全部论文审稿周期
24 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接
628
天
Soil-water retention in granular soils with varied fine content: a model incorporating adsorption and capillarity
作者
Suaiba Mufti; Arghya Das展开收起
作者单位
1. Postdoctoral Researcher, Department of Civil Engineering, Indian Institute of Science, Bengaluru, India; 2. Department of Civil Engineering, Indian Institute of Technology Kanpur, Kanpur, India展开收起
68
天
Sandstone-hosted uranium mineral prospectivity mapping based on ResNet50 self-distillation
作者
Weijian Zheng; Jianfeng He; Weidong Li; Fei Xia; Fengjun Nie; Zizheng Yu; Caijun Gong; Guoyun Zhong; Fan Diao展开收起
作者单位
1. School of Artificial Intelligence and Information Engineering, East China University of Technology, Nanchang, China; 2. Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System, East China University of Technology, Nanchang, China; 3. School of Earth and Planetary Sciences, East China University of Technology, Nanchang, China展开收起
120
天
A new data-driven approach for estimating permeability by integrating capillary pressure analytics with big data
作者
Oriyomi Raheem; Misael M. Morales; Wardana Saputra; Carlos Torres-Verdín; Craig Phillips; Chicheng Xu展开收起
作者单位
1. The University of Texas at Austin, Austin, USA; 2. Crested Butte Petrophysical Consultants, Crested Butte, USA; 3. OpenPetro AI, Houston, USA展开收起
150
天
161
天
A depth-dependent constitutive framework for stratified non-newtonian flows: beyond homogeneous Herschel–Bulkley rheology
作者
Diego Valencia-Enríquez; Javier Revelo-Fuelagán; John Erick Ortiz Guzmán; Francisco Ricardo Mafla Chamorro; Bianca Marcela Miranda Portilla; Fausto Andrés Escobar Revelo; Merylin Cristina Ortega Ortega展开收起
作者单位
1. Centro de Investigación y Desarrollo Tecnológico en Ciencias Aplicadas (CIDTCA), Pasto, Colombia; 2. Facultad de Ingeniería, Universidad Mariana, Pasto, Colombia; 3. Departamento de Electrónica, Facultad de Ingeniería, Universidad de Nariño, Pasto, Colombia展开收起
203
天
Integrating score-based diffusion models with machine learning-enhanced localization for advanced data assimilation in geological carbon storage
作者
Gabriel Serrão Seabra; Nikolaj T. Mücke; Vinicius Luiz Santos Silva; Alexandre A. Emerick; Denis Voskov; Femke C. Vossepoel展开收起
作者单位
1. Faculty of Civil Engineering and Geosciences, TU Delft, Delft, Netherlands; 2. Petroleo Brasileiro S.A. (Petrobras), Rio de Janeiro, Brazil; 3. Centrum Wiskunde & Informatica, Amsterdam, Netherlands; 4. Novel Reservoir Modelling and Simulation Group, Imperial College London, London, UK; 5. Department of Energy Resources Engineering, Stanford University, Stanford, USA展开收起
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