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Seismic monitoring of a small CO2 injection using a multi-well DAS array: Operations and initial results of Stage 3 of the CO2CRC Otway project

Authors :
Pavel Shashkin
Julia Correa
T. Wood
Paul Barraclough
R. Isaenkov
Konstantin Tertyshnikov
S. Glubokovskikh
Barry Freifeld
Boris Gurevich
Roman Pevzner
Sinem Yavuz
Alexey Yurikov
Source :
International Journal of Greenhouse Gas Control. 110:103437
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Active time-lapse seismic is widely employed for monitoring CO2 geosequestration due to its ability to track the distribution of fluids in space and time. However, standard 4D seismic monitoring suffers from several challenges, including high cost, disruption to other land uses, and, consequently, relatively large intervals between monitor surveys. Some of these challenges can be mitigated using permanently installed sources and receivers. Such an approach was tested at the CO2CRC Otway site by continuous offset VSP monitoring of 15,000 t of supercritical CO2 injected into an aquifer 1,500 m deep with nine permanent seismic sources (surface orbital vibrators or SOVs) and five downhole fibre-optic receivers. This continuous monitoring is complemented by multi-well 4D VSP using a mobile vibroseis source and the same DAS receivers, which included one baseline and two monitor surveys after injection of 4,000 and 12,000 t of CO2. The continuous DAS-SOV monitoring detected an abrupt increase of travel times below the injection interval on the second day of injection (after injection of 300 t of CO2) and tracked the growth of the areal CO2 plume by mapping changes of reflection amplitudes. The plume is also detected by time-lapse changes of reflection amplitudes in multi-well 4D VSPs. The plume images obtained from continuous offset VSP and 4D VSP are broadly consistent with each other but with some differences due to differences in illumination, lateral variations of velocities and seismic anisotropy. These differences also serve as a measure of uncertainty of 4D VSP images.

Details

ISSN :
17505836
Volume :
110
Database :
OpenAIRE
Journal :
International Journal of Greenhouse Gas Control
Accession number :
edsair.doi...........552e1a163a9d29796197fc6f15a6ebad
Full Text :
https://doi.org/10.1016/j.ijggc.2021.103437