Japan Geoscience Union Meeting 2024

Presentation information

[J] Poster

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

[M-GI31] Drilling Earth Science

Tue. May 28, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Keishi Okazaki(Earth and Planetary Systems Science Program, Hiroshima University), Akira Ijiri(Kobe University), Go-Ichiro Uramoto(Kochi University), Manami Kitamura(National Institute of Advanced Industrial Science and Technology )

5:15 PM - 6:45 PM

[MGI31-P10] Current status of pore pressure observation in a borehole off the Kii Channel: Toward high-precision extraction of crustal deformation components on the seafloor

*Keisuke Ariyoshi1, Eiichiro Araki1, Hiroyuki Matsumoto1, Yuya Machida1, Shuhei Tsuji1, Takashi Yokobiki1, Shuhei Nishida1, Shuichiro Yada1, Tomokazu Saruhashi1, Kan Aoike1, Yasuyuki Nakamura1, Gou Fujie1, Takeshi Iinuma1, Takane Hori1, Nobuhisa Eguchi1, Shuichi Kodaira1 (1.Japan Agency for Marine-Earth Science and Technology)

Keywords:Pore pressure, Seafloor crustal deformation, Nankai Trough

In November 2023, the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) installed pore pressure and fiber-optic strain gauges as a new borehole observatory about 500 m below the seafloor off Kii Channel using the deep-sea scientific drilling vessel "Chikyu". Subsequently, from December 2023 to January 2024, during the voyage of the research vessel "Shinsei Maru," an unmanned research vehicle (ROV) "Hyper Dolphin" was used to lay submarine cables and connect the borehole observatory and DONET2. As a result, real-time observation of "slow slip" has been continued for the first time in the assumed epicenter of the Nankai earthquake.
The pore pressure data in the borehole includes non-crustal deformation components such as oceanic disturbances. Therefore, using a seafloor hydraulic pressure at the borehole mouth, we extract the seafloor crustal deformation component by applying appropriate coefficients and time differences and taking differences (Ariyoshi et al., 2021). We have implemented this algorithm in a real-time processing and monitoring regime.
In this presentation, we will introduce the acquired data and discuss the influence of ocean disturbance as a noise factor and problems with the analysis processing method, aiming to improve the quality of the extraction of seafloor crustal deformation components with high accuracy.