Dynamic Processes of CO2 Storage in the Field: 1. Multiscale and Multipath Channeling of CO2 Flow in the Hierarchical Fluvial Reservoir at Cranfield, Mississippi
Abstract
A consistent picture of dynamic channeling, invasion, spreading, and breakthrough (CISB) of supercritical CO2 in the hierarchical fluvial reservoir at Cranfield, Mississippi is presented after 10 years of integration and analysis of complementary field monitoring and characterization data. The dynamic CISB with small-scale CO 2-flow channels in the F1-F2-F3 cross section (F1, F2, and F3 are one injection and two monitoring wells) was imaged by daily electrical resistance tomography (ERT) and time-lapse crosswell seismic surveys. One, three, and four CO2 flow channels logged at F1, F2, and F3, respectively, were dynamically connected with strong temporal variations in CO2 saturation during 221 days of drainage with injection rate doubling twice and 81 days of imbibition. Three intermediate-scale CO 2flow channels (with highest CO2 saturation) normal to the cross section were ERT-imaged during late-time drainage. A large-scale, sinuous fluvial CO 2flow channel was imaged by repeat surface seismic survey at the end of the imbibition. The fluvial sandstone channel sinuously bypasses the F1-F2-F3 cross section in a point bar, but the channel is connected to the cross section through an intermediate-scale sandstone channel, forming a complicated flow channel network. The multiscale flow channel network (in the fluvial channel-point bar system) revealed frommore »
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Univ. of Louisiana, Lafayette, LA (United States)
- Univ. of Texas, Austin, TX (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Rice Univ., Houston, TX (United States)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1630812
- Alternate Identifier(s):
- OSTI ID: 1602316
- Report Number(s):
- LLNL-JRNL-775404
Journal ID: ISSN 0043-1397; 968117
- Grant/Contract Number:
- AC52-07NA27344; AC02-05CH11231; AC02‐05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Water Resources Research
- Additional Journal Information:
- Journal Volume: 56; Journal Issue: 2; Journal ID: ISSN 0043-1397
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; CO2 storage; channelized flow; field monitoring; data integration; natural heterogeneity; joint inversion
Citation Formats
Zhou, Quanlin, Yang, Xianjin, Zhang, Rui, Hosseini, Seyyed A., Ajo‐Franklin, Jonathan B., Freifeld, Barry M., Daley, Thomas M., and Hovorka, Susan D. Dynamic Processes of CO2 Storage in the Field: 1. Multiscale and Multipath Channeling of CO2 Flow in the Hierarchical Fluvial Reservoir at Cranfield, Mississippi. United States: N. p., 2019.
Web. doi:10.1029/2019WR025688.
Zhou, Quanlin, Yang, Xianjin, Zhang, Rui, Hosseini, Seyyed A., Ajo‐Franklin, Jonathan B., Freifeld, Barry M., Daley, Thomas M., & Hovorka, Susan D. Dynamic Processes of CO2 Storage in the Field: 1. Multiscale and Multipath Channeling of CO2 Flow in the Hierarchical Fluvial Reservoir at Cranfield, Mississippi. United States. https://doi.org/10.1029/2019WR025688
Zhou, Quanlin, Yang, Xianjin, Zhang, Rui, Hosseini, Seyyed A., Ajo‐Franklin, Jonathan B., Freifeld, Barry M., Daley, Thomas M., and Hovorka, Susan D. Thu .
"Dynamic Processes of CO2 Storage in the Field: 1. Multiscale and Multipath Channeling of CO2 Flow in the Hierarchical Fluvial Reservoir at Cranfield, Mississippi". United States. https://doi.org/10.1029/2019WR025688. https://www.osti.gov/servlets/purl/1630812.
@article{osti_1630812,
title = {Dynamic Processes of CO2 Storage in the Field: 1. Multiscale and Multipath Channeling of CO2 Flow in the Hierarchical Fluvial Reservoir at Cranfield, Mississippi},
author = {Zhou, Quanlin and Yang, Xianjin and Zhang, Rui and Hosseini, Seyyed A. and Ajo‐Franklin, Jonathan B. and Freifeld, Barry M. and Daley, Thomas M. and Hovorka, Susan D.},
abstractNote = {A consistent picture of dynamic channeling, invasion, spreading, and breakthrough (CISB) of supercritical CO2 in the hierarchical fluvial reservoir at Cranfield, Mississippi is presented after 10 years of integration and analysis of complementary field monitoring and characterization data. The dynamic CISB with small-scale CO 2-flow channels in the F1-F2-F3 cross section (F1, F2, and F3 are one injection and two monitoring wells) was imaged by daily electrical resistance tomography (ERT) and time-lapse crosswell seismic surveys. One, three, and four CO2 flow channels logged at F1, F2, and F3, respectively, were dynamically connected with strong temporal variations in CO2 saturation during 221 days of drainage with injection rate doubling twice and 81 days of imbibition. Three intermediate-scale CO 2flow channels (with highest CO2 saturation) normal to the cross section were ERT-imaged during late-time drainage. A large-scale, sinuous fluvial CO 2flow channel was imaged by repeat surface seismic survey at the end of the imbibition. The fluvial sandstone channel sinuously bypasses the F1-F2-F3 cross section in a point bar, but the channel is connected to the cross section through an intermediate-scale sandstone channel, forming a complicated flow channel network. The multiscale flow channel network (in the fluvial channel-point bar system) revealed from the observed CISB enables us to consistently interpret the hydrological monitoring data of three tracer tests, each conducted during an injection rate step, and preinjection hydraulic-thermal-tracer tests. Finally, this interpretation of the CISB and flow channel network can guide future modeling and data inversion to best understand the effects of natural heterogeneity on CO2 storage efficiency and residual trapping.},
doi = {10.1029/2019WR025688},
journal = {Water Resources Research},
number = 2,
volume = 56,
place = {United States},
year = {2019},
month = {11}
}
Web of Science
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