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ai4geoscience

 
AI4Geoscience Research Group

[🛠️What's New] [📘Group Introduction] [✨Members] [🚀Ongoing Projects] [🖊️Papers]

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🛠️What's New

Articles accepted! [13/07/2023]:

Two papers from Keran Li and Shan Ren were accepeted by the Seventh International Conference on Engineering Geophysics (ICEG2023) and would be published on the journal Geophysics (SCI 2, TOP in geophysics).

Keran Li, Jinmin Song, Lizhou Tian, et al., 2023. Attention Mechanism and Spatial-time Information Assist Well-Logging Lithological Interpretation: An Experiment from Lower Triassic Jialingjiang Formation, East Sichuan Basin, SW China

Abstract accepted! [20/06/2023]:

Three abstracts mainly contributed by Yingjie Ma, Ziayng Zhang and Keran Li were accepted by the Seventh Conference on Earth System Science (CESS2023).

Members graduated! [15/06/2023]:

Keran Li graducated from the College of Energy, Chengdu University of Technology, with a master degree. He will join Dr. Xiumian Hu's research group (Nanjing University) to continue his doctery research.

Shan Ren graducated from the College of Energy, Chengdu University of Technology, with a bachelor degree. She will join Dr. Jinmin Song's research group (Chengdu University of Technology) to continue her mastery research.

Set up the Github organization of AI4Geoscience [05/09/2023]:

To manage our code and cooperate better, we are excited to use git to restore our program

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📖 Group Introduction

AI4Geoscience Research Group is an open-source organization which do some jointly resaerches in geosciences and the artificial intelligence (AI). In this group, members mainly majors in Gesciences, including petroleum geology, sedimentology and geochemistry. Also, some members also have education background in Computer Sciences.

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✨ Members

  • **Keran Li (Nanjing University, keranli98@outlook.com)

    Nowadays a doctery student who is majoring the academic degree of Geology in the College of Earth Science and Engineering, Nanjing University. His reseaches of interests includes Isotopic geochemistry analysis in the plaeo-ocaen, paleo-climate and paleo-environment and Applications of computer vision, data-mining in the sedimentology.

  • **Shan Ren (Chengdu University of Technology, 1198481650@qq.com)

    From 09/2023, she will be a mastery student who is majoring the academic degree of Geo-resources and Geo-engineering in the College of Energy, Chengdu University of Technology. Her reseaches of interests includes Data-mining in geochemistry and Applications of computer vision.

  • **Chunqiao Yan (Chengdu University of Technology, 158527608@qq.com)

    Nowadays a mastery student who is majoring the academic degree of Geo-resources and Geo-engineering in the College of Energy, Chengdu University of Technology. His reseaches of interests includes Isotopic geochemistry analysis in the plaeo-ocaen, paleo-climate and paleo-environment and Applications of computer vision, data-mining in the sedimentology.

  • **Ziyang Zhang (Chengdu University of Technology, hafuhafu@qq.com)

    Nowadays a undergraudate student who is majoring IOT and Geo4AI, in the College of Computer Science and Cyber Security, Chengdu University of Technology. His reseaches of interests includes DBMS, High Performance Computing, Cloud Data Analyze. He will finish his master degree at DB Group in Southern University of Science and Technology.

  • **Yingjie Ma (Chengdu University of Technology, murinj2248@outlook.com)

    Nowadays a undergraudate student who is majoring IOT and Geo4AI, in the College of Computer Science and Cyber Security, Chengdu University of Technology. His reseaches of interests includes Applications of computer vision, Artificial Intelligence of Things, Embedded artificial intelligence.

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🚀 Ongoing Projects

  • Evaluating the performance of deep models in a first and professional large-carbonate-images in the microscope
  • PPL-to-Cathodoluminescence image translation
  • PasseyNet: An Application of the Well-logs-to-TOC Predicting

  • Investigation the CV information in the microbialite images

  • The comparison of time-series information and stratigraphic-sequeence information

🖊️ Papers

Some papers can be seen in the Researchgate(https://www.researchgate.net/profile/Keran-Li-3?ev=hdr_xprf)

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