An automated system for continuous monitoring of CO2 geosequestration using multi-well offset VSP with permanent seismic sources and receivers: Stage 3 of the CO2CRC Otway Project

Isaenkov, Roman; Pevzner, Roman; Glubokovskikh, Stanislav; Yavuz, Sinem; Yurikov, Alexey; Tertyshnikov, Konstantin; Gurevich, Boris; Correa, Julia; Wood, Todd; Freifeld, Barry; Mondanos, Michael; Nikolov, Stoyan; Barraclough, Paul

doi:10.1016/j.ijggc.2021.103317

An automated system for continuous monitoring of CO₂ geosequestration using multi-well offset VSP with permanent seismic sources and receivers: Stage 3 of the CO2CRC Otway Project

Journal Article · Sat Apr 03 00:00:00 EDT 2021 · International Journal of Greenhouse Gas Control

DOI:https://doi.org/10.1016/j.ijggc.2021.103317· OSTI ID:1846953

^[1]; Pevzner, Roman ^[1]; Glubokovskikh, Stanislav ^[1]; ^[1]; ^[1]; Tertyshnikov, Konstantin ^[1]; Gurevich, Boris ^[1]; Correa, Julia ^[2]; Wood, Todd ^[2]; Freifeld, Barry ^[3]; ^[4]; Nikolov, Stoyan ^[4]; Barraclough, Paul ^[5]

Curtin Univ., Perth, WA (Australia); C02CRC, Carlton (Australia)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Class VI Solutions, Inc., Oakland, CA (United States)
Silixa Ltd., Elstree (United Kingdom)
C02CRC, Carlton (Australia)

Time-lapse seismic is an essential tool for monitoring CO₂ injection into the subsurface but suffers from high cost and long intervals between surveys. An alternative approach is continuous monitoring using permanent sources and receivers capable of mapping CO₂ plume evolution on an almost daily basis and drastically reduce human effort, cost and survey turnaround. As part of the CO2CRC Otway project, a continuous monitoring system is employed to monitor a small (15,000 tonnes) CO₂ injection within the CO2CRC Otway Project. The permanent monitoring system employs distributed acoustic sensors (DAS) installed in boreholes as seismic receivers and seismic orbital vibrators (SOV) as seismic sources. The monitoring approach is based on vertical seismic profiling using five wells equipped with DAS cemented behind the casing and nine SOVs and is acquiring the data continuously in an autonomous manner. The data is then automatically processed on-site producing a seismic image every 2.5 days, which is then transmitted to a remote office. The data has good repeatability with NRMS of about ~10-15%.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE); Australian National Low Emissions Coal Research and Development (ANLEC R&D); Global CCS Institute; Australian Government

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1846953

Alternate ID(s):: OSTI ID: 1780217

Journal Information:: International Journal of Greenhouse Gas Control, Journal Name: International Journal of Greenhouse Gas Control Vol. 108; ISSN 1750-5836

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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References (26)

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