WITHDRAWN Detectability of a CO2 Well Leakage using Amplitudes of Ambient Seismic Signals on DAS
Description:
WITHDRAWN Well leakage is commonly recognized as one of the major environmental risks for Geological Carbon Storage (GCS). Previously, these concerns relied on abstract risk analysis and experience from underground gas storage. However, recently the Archer Daniels Midland CO2 storage site (ADM) reported a CO2 leakage through the corroded casing of a monitoring well, which extent remains highly uncertain. We present a novel monitoring technique for a well leakage, which detects the presence of CO2 using amplitudes of ambient seismic signals recorded by distributed acoustic sensors (DAS) cemented in the borehole annulus.
First, we describe a scattering-based approach to modeling the DAS amplitudes due to a small plume of supercritical CO2 around a leaky well. We validate the approach using earthquake signals and ocean-generated microseisms recorded in the injection well for CO2CRC Otway Project (Australia). Finally, we evaluate the feasibility of CO2 leakage detection in geological settings representing the ADM project site. Our results suggest that DAS amplitudes of ambient seismic wavefields could be a powerful tool for early leakage detection. They also may quantify the leakages if incidents occurred anyway.
Session: Seismology for the Energy Transition - I
Type: Oral
Date: 4/16/2025
Presentation Time: 05:15 PM (local time)
Presenting Author: Stanislav
Student Presenter: No
Invited Presentation:
Poster Number:
Authors
Stanislav Glubokovskikh Presenting Author Corresponding Author sglubokovskikh@lbl.gov Lawrence Berkeley National Laboratory |
Bin Lyu blyu2@lbl.gov Lawrence Berkeley National Laboratory |
Olivia Collet olivia.collet@curtin.edu.au Curtin University |
Pavel Shashkin pavel.shashkin@curtin.edu.au Curtin University |
Boris Gurevich b.gurevich@curtin.edu.au Curtin University |
Roman Pevzner R.Pevzner@curtin.edu.au Curtin University |
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WITHDRAWN Detectability of a CO2 Well Leakage using Amplitudes of Ambient Seismic Signals on DAS
Category
Seismology for the Energy Transition