Artificial Intelligence in Geosciences 2024 Awards announced

 

Over the last five years (2020-2024), the journal Artificial Intelligence in Geosciences has achieved great success owing to the efforts of our editors, editorial board members, authors and reviewers. In recognition of these significant contributions to the journal, the Editors-in-Chief and the Editorial office would like to present the following awards:

Excellent Board Member Award

• Zhiguo Wang, Xi'an Jiaotong University, China
• Calogero Schillaci, JRC European Commission, Italy
• Guangmin Hu, University of Electronic Science and Technology of China, China
• Lizhi Xiao, China University of Petroleum (Beijing), China
• Kunfeng Qiu, China University of Geosciences (Beijing), China

Best Guest Editor Award

• Yaojun Wang, University of Electronic Science and Technology of China, China
• Zhilong Fang, University of Electronic Science and Technology of China, China

Reviewer Award

• Xin Nie, Yangtze University, China
• Linqi Zhu, Institute of Deep-sea Science and Engineering, CAS, China
• David A. Wood, DWA Energy Ltd., UK
• Wenjun Zhang, Shell, USA
• Kunhong Li, Sichuan Agricultural University, China
• Eric Verschuur, TU Delft, the Netherlands
• Yaojun Wang, University of Electronic Science and Technology of China, China
• Jie Qi, The University of Oklahoma, USA
• Yile Ao, Beijing University of Chemical Technology, China
• Yong Wang, University of Electronic Science and Technology of China, China
• Bo Zhang, The University of Alabama, USA
• Fuat Kaya, Isparta University of Applied Sciences, Turkey
• Fang Huang, University of Electronic Science and Technology of China, China
• Wenjun Lv, University of Science and Technology of China, China
• Ji Zhou, University of Electronic Science and Technology of China, China
• Lei Li, Central South University, China
• Xin He, University of Electronic Science and Technology of China, China
• Chao Song, Jilin University, China

Best Paper Award

• The potential of self-supervised networks for random noise suppression in seismic data

Claire Birnie, Matteo Ravasi, Sixiu Liu, Tariq Alkhalifah

• Wavefield solutions from machine learned functions constrained by the Helmholtz equation

Tariq Alkhalifah, Chao Song, Umair bin Waheed, Qi Hao

• MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning

Tariq Alkhalifah, Hanchen Wang, Oleg Ovcharenko

• Flood susceptibility assessment using artificial neural networks in Indonesia

Stela Priscillia, Calogero Schillaci, Aldo Lipani

• Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale

Fabrizio Magrini, Dario Jozinović, Fabio Cammarano, Alberto Michelini, Lapo Boschi

• Ensemble hybrid machine learning methods for gully erosion susceptibility mapping: K-fold cross validation approach

Jagabandhu Roy, Sunil Saha

• Exact Conditioning of Regression Random Forest for Spatial Prediction

Francky Fouedjio

• Rapid identification of high-quality marine shale gas reservoirs based on the oversampling method and random forest algorithm

Linqi Zhu, Xueqing Zhou, Chaomo Zhang

• Machine learning in petrophysics: Advantages and limitations

Chicheng Xu, Lei Fu, Tao Lin, Weichang Li, Shouxiang Ma

• Machine learning-based prediction of trace element concentrations using data from the Karoo large igneous province and its application in prospectivity mapping

Steven E. Zhang, Glen T. Nwaila, Julie E. Bourdeau, Lewis D. Ashwal

• The benefits and dangers of using artificial intelligence in petrophysics

Steve Cuddy

• Deep convolutional autoencoders as generic feature extractors in seismological applications

Qingkai Kong, Andrea Chiang, Ana C. Aguiar, M. Giselle Fernández-Godino, Stephen C. Myers, Donald D. Lucas

• A convolutional recurrent neural network for strong convective rainfall nowcasting using weather radar data in Southeastern Brazil

Angelica N. Caseri, Leonardo Bacelar Lima Santos, Stephan Stephany

An award ceremony was held at the 5th SPWLA-SW Annual Meeting in Chengdu, China, on 19-21 Jan 2025. Twelve award winners attended the ceremony and received their awards. Congratulations to all award recipients!