Improved geophysical monitoring of carbon sequestration through parameter linkage to reservoir modeling

Commer, Michael; Gasperikova, Erika; Doughty, Christine

doi:10.1016/j.ijggc.2022.103717

Improved geophysical monitoring of carbon sequestration through parameter linkage to reservoir modeling

Journal Article · Thu Sep 01 00:00:00 EDT 2022 · International Journal of Greenhouse Gas Control

DOI:https://doi.org/10.1016/j.ijggc.2022.103717· OSTI ID:1963047

Commer, Michael ^[1]; Gasperikova, Erika ^[1]; Doughty, Christine ^[1]

Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Predictive reservoir modeling, even if present in the form of only basic hydrogeological model assumptions, is expected to accompany the majority of carbon capture and sequestration monitoring activities. It thus represents a source of prior information about the migration of injected fluids that can benefit geophysical survey planning and ensuing monitoring. Constraining the imaging of geophysical monitoring data with reservoir modeling is preferable over standalone geophysical imaging because of additional complementary hydrogeological information. However, fully coupled hydrogeophysical data inversion for flow-modeling parameters that control saturation predictions is an involved process. Within the context of three-dimensional electromagnetic (EM) inversion of data from borehole-to-surface layouts, we employ a "poor people's" alternative. The approach constrains geophysical inversion parameters through saturation predictions. The coupling is realized through spatially variable lower and upper parameter bounds that scale with gas saturation magnitudes, the latter provided by reservoir modeling. In this work, enhancement of three-dimensional time-lapse plume EM imaging is demonstrated for simulated sequestration into a depleted gas reservoir.

View Accepted Manuscript (DOE)

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

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1963047

Journal Information:: International Journal of Greenhouse Gas Control, Journal Name: International Journal of Greenhouse Gas Control Vol. 119; ISSN 1750-5836

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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58 GEOSCIENCES
Borehole-to-surface electromagnetics
Geologic carbon sequestration
Geophysical imaging
Inversion constraints
Reservoir modeling

Improved geophysical monitoring of carbon sequestration through parameter linkage to reservoir modeling

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