JpGU-AGU Joint Meeting 2026

Presentation information

[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT45] Artificial Intelligence in Earth and Environmental sciences

Sun. May 24, 2026 1:45 PM - 3:15 PM Exhibition Hall Special Setting (8) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Kondrashov A Dmitri(University of California Los Angeles), Richter Ingo(JAMSTEC Japan Agency for Marine-Earth Science and Technology), Krinitskiy Mikhail(Shirshov Institute of Oceanology, Russian Academy of Sciences)

2:30 PM - 2:45 PM

[MTT45-04] Machine-Learning-Enhanced Geostatistical Modeling for Robust Coal Quality Prediction under Sparse Drilling

*Angesom Gebretsadik Abraha1, Natsuo Okada1, Ryo Itano1, Yoko Ohtomo1, Youhei Kawamura1 (1. Hokkaido University, Graduate School of Engineering)

Keywords:Hybrid modeling, residual learning, coal ash , sparse drilling, kriging uncertainty, machine learning