Investigation of ground movements induced by underground gas storages via unsupervised ML methodology applied to InSAR data-Reference-Cited by-同舟云学术

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Investigation of ground movements induced by underground gas storages via unsupervised ML methodology applied to InSAR data

Published:2024-05 Issue: Volume:125 Page:205293
ISSN:2949-9089
Container-title:Gas Science and Engineering
language:en
Short-container-title:Gas Science and Engineering

Author:

Garcia Navarro Alberto Manuel^ORCID,Rocca Vera^ORCID,Capozzoli Alfonso,Chiosa Roberto^ORCID,Verga Francesca

Publisher

Elsevier BV

Reference59 articles.

1. InSAR displacement time series mining: a machine learning approach;Ansari,2021

2. Rilievo Della Subsidenza Nella Pianura Emiliano-Romagnola – Seconda Fase – Relazione Finale [Subsidence Measurement of the Emilia-Romagna Plain 2017 – Second Phase – Final Report],2018

3. Multidisciplinary analysis of ground movements: an underground gas storage case study;Benetatos;Rem. Sens.,2020

4. Guidelines for the study of subsidence triggered by hydrocarbon production;Benetatos;GEAM Geoing. Ambient. Mineraria,2017

5. Multidisciplinary analysis of ground movements: an underground gas storage case study;Benetatos;Rem. Sens.,2020

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