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Title: Seismic Monitoring at the Farnsworth CO2-EOR Field Using Time-Lapse Elastic-Waveform Inversion of 3D-3C VSP Data

Abstract

During the Development Phase of the U.S. Southwest Regional Partnership on Carbon Sequestration, supercritical CO2 was continuously injected into the deep oil-bearing Morrow B formation of the Farnsworth Unit in Texas for Enhanced Oil Recovery (EOR). The project injected approximately 94 kilotons of CO2 to study geologic carbon storage during CO2-EOR. A three-dimensional (3D) surface seismic dataset was acquired in 2013 to characterize the subsurface structures of the Farnsworth site. Following this data acquisition, the baseline and three time-lapse three-dimensional three-component (3D-3C) vertical seismic profiling (VSP) data were acquired at a narrower surface area surrounding the CO2 injection and oil/gas production wells between 2014 and 2017 for monitoring CO2 injection and migration. With these VSP datasets, we inverted for subsurface velocity models to quantitatively monitor the CO2 plume within the Morrow B formation. We first built 1D initial P-wave (Vp) and S-wave (Vs) velocity models by upscaling the sonic logs. We improved the deep region of the Vp and Vs models by incorporating the deep part of a migration velocity model derived from the 3D surface seismic data. We improved the shallow region of 3D Vp and Vs models using 3D traveltime tomography of first arrivals of VSP downgoing waves.more » We further improved the 3D baseline velocity models using elastic-waveform inversion (EWI) of the 3D baseline VSP upgoing data. Our advanced EWI method employs alternative tomographic and conventional gradients and total-variation-based regularization to ensure the high-fidelity updates of the 3D baseline Vp and Vs models. We then sequentially applied our 3D EWI method to the three time-lapse datasets to invert for spatiotemporal changes of Vp and Vs in the reservoir. Our inversion results reveal the volumetric changes of the time-lapse Vp and Vs models and show the evolution of the CO2 plume from the CO2 injection well to the oil/gas production wells.« less

Authors:
ORCiD logo; ; ; ORCiD logo; ; ; ; ; ; ;
Publication Date:
Research Org.:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE); USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1972886
Alternate Identifier(s):
OSTI ID: 1974983
Report Number(s):
LA-UR-23-22822
Journal ID: ISSN 1996-1073; ENERGA; PII: en16093939
Grant/Contract Number:  
89233218CNA000001; FE0031684; FC26-05NT42591
Resource Type:
Published Article
Journal Name:
Energies
Additional Journal Information:
Journal Name: Energies Journal Volume: 16 Journal Issue: 9; Journal ID: ISSN 1996-1073
Publisher:
MDPI AG
Country of Publication:
Switzerland
Language:
English
Subject:
42 ENGINEERING; CO2 monitoring; elastic-waveform inversion; enhanced oil recovery; Farnsworth; geologic carbon storage; time-lapse seismic monitoring; vertical seismic profiling (VSP)

Citation Formats

Liu, Xuejian, Huang, Lianjie, Gao, Kai, Bratton, Tom, El-Kaseeh, George, Ampomah, William, Will, Robert, Czoski, Paige, Cather, Martha, Balch, Robert, and McPherson, Brian. Seismic Monitoring at the Farnsworth CO2-EOR Field Using Time-Lapse Elastic-Waveform Inversion of 3D-3C VSP Data. Switzerland: N. p., 2023. Web. doi:10.3390/en16093939.
Liu, Xuejian, Huang, Lianjie, Gao, Kai, Bratton, Tom, El-Kaseeh, George, Ampomah, William, Will, Robert, Czoski, Paige, Cather, Martha, Balch, Robert, & McPherson, Brian. Seismic Monitoring at the Farnsworth CO2-EOR Field Using Time-Lapse Elastic-Waveform Inversion of 3D-3C VSP Data. Switzerland. https://doi.org/10.3390/en16093939
Liu, Xuejian, Huang, Lianjie, Gao, Kai, Bratton, Tom, El-Kaseeh, George, Ampomah, William, Will, Robert, Czoski, Paige, Cather, Martha, Balch, Robert, and McPherson, Brian. Sat . "Seismic Monitoring at the Farnsworth CO2-EOR Field Using Time-Lapse Elastic-Waveform Inversion of 3D-3C VSP Data". Switzerland. https://doi.org/10.3390/en16093939.
@article{osti_1972886,
title = {Seismic Monitoring at the Farnsworth CO2-EOR Field Using Time-Lapse Elastic-Waveform Inversion of 3D-3C VSP Data},
author = {Liu, Xuejian and Huang, Lianjie and Gao, Kai and Bratton, Tom and El-Kaseeh, George and Ampomah, William and Will, Robert and Czoski, Paige and Cather, Martha and Balch, Robert and McPherson, Brian},
abstractNote = {During the Development Phase of the U.S. Southwest Regional Partnership on Carbon Sequestration, supercritical CO2 was continuously injected into the deep oil-bearing Morrow B formation of the Farnsworth Unit in Texas for Enhanced Oil Recovery (EOR). The project injected approximately 94 kilotons of CO2 to study geologic carbon storage during CO2-EOR. A three-dimensional (3D) surface seismic dataset was acquired in 2013 to characterize the subsurface structures of the Farnsworth site. Following this data acquisition, the baseline and three time-lapse three-dimensional three-component (3D-3C) vertical seismic profiling (VSP) data were acquired at a narrower surface area surrounding the CO2 injection and oil/gas production wells between 2014 and 2017 for monitoring CO2 injection and migration. With these VSP datasets, we inverted for subsurface velocity models to quantitatively monitor the CO2 plume within the Morrow B formation. We first built 1D initial P-wave (Vp) and S-wave (Vs) velocity models by upscaling the sonic logs. We improved the deep region of the Vp and Vs models by incorporating the deep part of a migration velocity model derived from the 3D surface seismic data. We improved the shallow region of 3D Vp and Vs models using 3D traveltime tomography of first arrivals of VSP downgoing waves. We further improved the 3D baseline velocity models using elastic-waveform inversion (EWI) of the 3D baseline VSP upgoing data. Our advanced EWI method employs alternative tomographic and conventional gradients and total-variation-based regularization to ensure the high-fidelity updates of the 3D baseline Vp and Vs models. We then sequentially applied our 3D EWI method to the three time-lapse datasets to invert for spatiotemporal changes of Vp and Vs in the reservoir. Our inversion results reveal the volumetric changes of the time-lapse Vp and Vs models and show the evolution of the CO2 plume from the CO2 injection well to the oil/gas production wells.},
doi = {10.3390/en16093939},
journal = {Energies},
number = 9,
volume = 16,
place = {Switzerland},
year = {Sat May 06 00:00:00 EDT 2023},
month = {Sat May 06 00:00:00 EDT 2023}
}

Journal Article:
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https://doi.org/10.3390/en16093939

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