eprintid: 2282
rev_number: 12
eprint_status: archive
userid: 6
dir: disk0/00/00/22/82
datestamp: 2020-07-13 10:04:58
lastmod: 2021-02-01 07:38:50
status_changed: 2020-07-13 10:04:58
type: monograph
metadata_visibility: show
creators_name: Capuano, Paolo
corp_creators: Vincenzo Convertito, Raffaella De Matteis (UNISA)
title: D5.6
Data-driven updating of empirical ground motion to
monitor induced seismicity and reservoir status
subjects: MP3_2
subjects: RS2
subjects: SG
divisions: S4CE-1
full_text_status: none
monograph_type: documentation
abstract: Within the scopes of the S4CE consortium, the objective of the present D5.6 deliverable
“Data-driven updating of empirical ground motion to monitor induced seismicity and
reservoir status” is to test if ground motion prediction equations (GMPE), which are generally
used as a fundamental tool to compute seismic hazard, can be used for monitoring the
physical properties of the rocks and, in particular, the quality factor and its variations during
technological activities in geo-energy exploitation sites.
date: 2020-02
publisher: Science For Clean Energy Project
official_url: http://science4cleanenergy.eu/wp-content/uploads/2020/04/S4CE_D5.6_Final.pdf
access_IS-EPOS: unlimited
owner: Publisher
citation:   Capuano, Paolo  (2020) D5.6 Data-driven updating of empirical ground motion to monitor induced seismicity and reservoir status.  Documentation. Science For Clean Energy Project.