[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI34] Data-driven geosciences

Sun. May 22, 2022 3:30 PM - 5:00 PM 301A (International Conference Hall, Makuhari Messe)

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), convener:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Kenta Ueki(Japan Agency for Marine-Earth Science and Technology), convener:Shin-ichi Ito(The University of Tokyo), Chairperson:Kenta Ueki(Japan Agency for Marine-Earth Science and Technology), Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Shin-ichi Ito(The University of Tokyo), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo)

It is important to extract essential processes and structures from observed data sets in order to understand and predict the dynamic behavior of the earth and planetary systems. Recently, many powerful methodologies have been proposed to extract useful information from high-dimensional data sets in mathematical and information sciences. This session aims to provide an opportunity to gather various geoscientists to have a productive discussion for interdisciplinary collaborations.

+Add all to schedule

3:30 PM - 3:45 PM

[MGI34-01] Geochemical datasets of stream sediments classified by the dominant lithology in their watersheds

★Invited Papers

*Atsuyuki Ohta¹ (1.Geological Survey of Japan, National Institute of Advanced Industrial Science)

3:45 PM - 4:00 PM

[MGI34-02] Application of a Bayesian algorithm to characterize deep temperatures based on shallow temperature profiles of the Berlin geothermal field, El Salvador.

*Osmany Rene Aparicio¹, Kazuya Ishitsuka², Noriyoshi Tsuchiya³ (1.M1 Tohoku University, 2.Kyoto University, 3.Tohoku University)

4:00 PM - 4:15 PM

[MGI34-03] Potentials of numerical X-CT analysis over sedimentary core materials, obtaining geological sequences at ultra-high resolution

*Hirofumi Asahi¹, Minoru Ikehara¹, Kato Koudai¹, Masafumi MURAYAMA¹, Keiji Horikawa², Katsuya Nejigaki³ (1.Kochi University, 2.Toyama Universitt, 3.Fukada Salvage and Marine Works CO., LTD)

4:15 PM - 4:30 PM

[MGI34-04] Relationships between Al-Cr chemical zoning and deformation mechanisms of spinel: An approach applying machine learning analysis

*Tae-Hoon Uhmb¹, Katsuyoshi Michibayashi¹ (1.Department of Earth and Planetary Sciences, Research group of Petrology and Mineralogy, Nagoya University)

4:30 PM - 4:45 PM

[MGI34-05] What spinel composition in rocks tells us: a combined approach from data-driven and physics-based modelling

*Debaditya Bandyopadhyay¹, Yusuke Katsuki¹, Shuhei Sakata¹, Hikaru Iwamori¹ (1.Earthquake Research Institute, The University of Tokyo, Tokyo, JAPAN 113-0032)

4:45 PM - 5:00 PM

[MGI34-06] Data-Driven Science Using Sparse Modeling for Immediate Tsunami Height Prediction

★Invited Papers

*Yasuhiko Igarashi¹ (1.University of Tsukuba)

Session information

[M-GI34] Data-driven geosciences

[MGI34-01] Geochemical datasets of stream sediments classified by the dominant lithology in their watersheds

★Invited Papers

[MGI34-02] Application of a Bayesian algorithm to characterize deep temperatures based on shallow temperature profiles of the Berlin geothermal field, El Salvador.

[MGI34-03] Potentials of numerical X-CT analysis over sedimentary core materials, obtaining geological sequences at ultra-high resolution

[MGI34-04] Relationships between Al-Cr chemical zoning and deformation mechanisms of spinel: An approach applying machine learning analysis

[MGI34-05] What spinel composition in rocks tells us: a combined approach from data-driven and physics-based modelling

[MGI34-06] Data-Driven Science Using Sparse Modeling for Immediate Tsunami Height Prediction

★Invited Papers

Authentication