Advanced surface-wave analysis for 3D ocean bottom cable data to detect localized heterogeneity in shallow geological formation of a CO2 storage site

Ikeda, Tatsunori; Tsuji, Takeshi

doi:10.1016/j.ijggc.2015.04.020

Cited by 19 publications

(3 citation statements)

References 32 publications

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“…Many algorithms have been proposed over the years to invert surface-wave dispersion curves, including both local search methods based on the gradient or Jacobian matrix (Fréchet derivative) (e.g., Xia et al 1999) and global search methods that solve the optimization problem stochastically (e.g., Yamanaka and Ishida 1996;Socco and Boiero 2008;Boaga et al 2011;Song et al 2012). By interpolating multiple 1D profiles estimated from different spreads using MASW, a pseudo-2D (Bohlen et al 2004;Luo et al 2009;Mi et al 2017) or 3D model (Boiero et al 2011;Strobbia et al 2011;Ikeda and Tsuji 2015;Pan et al 2016aPan et al , 2018b can then be reconstructed. Since each picked dispersion curve represents a harmonic mean of the velocity structure below the spread , the lateral heterogeneity would be partly reconstructed if the lateral changes in the dispersion curves could be estimated accurately (Mi et al 2017).…”

Section: Maswmentioning

confidence: 99%

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

2019

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Surface waves are widely used in near-surface geophysics and provide a non-invasive way to determine near-surface structures. By extracting and inverting dispersion curves to obtain local 1D S-wave velocity profiles, multichannel analysis of surface waves (MASW) has been proven as an efficient way to analyze shallow-seismic surface waves. By directly inverting the observed waveforms, full-waveform inversion (FWI) provides another feasible way to use surface waves in reconstructing near-surface structures. This paper provides a state of the art on MASW and shallow-seismic FWI, and a comparison of both methods. A two-parameter numerical test is performed to analyze the nonlinearity of MASW and FWI, including the classical, the multiscale, the envelope-based, and the amplitude-spectrum-based FWI approaches. A checkerboard model is used to compare the resolution of MASW and FWI. These numerical examples show that classical FWI has the highest nonlinearity and resolution among these methods, while MASW has the lowest nonlinearity and resolution. The modified FWI approaches have an intermediate nonlinearity and resolution between classical FWI and MASW. These features suggest that a sequential application of MASW and FWI could provide an efficient hierarchical way to delineate near-surface structures. We apply the sequential-inversion strategy to two field data sets acquired in Olathe, Kansas, USA, and Rheinstetten, Germany, respectively. We build a 1D initial model by using MASW and then apply the multiscale FWI to the data. High-resolution 2D S-wave velocity images are obtained in both cases, whose reliabilities are proven by borehole data and a GPR profile, respectively. It demonstrates the effectiveness of combining MASW and FWI for high-resolution imaging of near-surface structures.

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Section: Maswmentioning

confidence: 99%

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

2019

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“…During injection of CO2 at Nagaoka on 23 October 2004, the Mw 6.8 Chuetsu earthquake struck the area [31][32][33][34] with its epicenter about 20 km from the site. In 2018, the Mw 6.6 Hokkaido Iburi-Tobu earthquake struck with its epicenter about 31 km from a CCS demonstration project in Tomakomai, Hokkaido [35]. Because the distances of both of these facilities are not far from the earthquake epicenters, people worried about the relationship between the earthquakes and CCS activities.…”

Section: Introductionmentioning

confidence: 99%

Pore Pressure Analysis for Distinguishing Earthquakes Induced by CO2 Injection from Natural Earthquakes

Chhun¹,

Tsuji²

2020

Preprint

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It is important to distinguish between natural earthquakes and those induced by CO2 injection at carbon capture and storage sites. For example, the 2004 Mw 6.8 Chuetsu earthquake occurred close to the Nagaoka CO2 storage site during gas injection, but we could not quantify whether the earthquake was due to CO2 injection or not. Here we simulated changes of pore pressure during CO2 injection at the Nagaoka site and compared them with estimated natural seasonal fluctuations of pore pressure due to rainfall and snowmelt as well as estimated pore pressure increases related to remote earthquakes. We clearly distinguished changes of pore pressure due to CO2 injection from those due to rainfall and snowmelt. The simulated local increase in pore pressure at seismogenic fault area was much less than the seasonal fluctuations related to precipitation and increases caused by remote earthquakes, and the lateral extent of pore pressure increase was insufficient to influence seismogenic faults. We also demonstrated that pore pressure changes due to distant earthquakes are capable of triggering slip on seismogenic faults. The approach we developed could be used to distinguish natural from injection-induced earthquakes and will be useful for that purpose at other CO2 sequestration sites.

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“…During the injection of CO 2 at Nagaoka on 23 October 2004, the Mw 6.8 Chuetsu earthquake struck the area [31][32][33][34] with its epicenter about 20 km from the site. In 2018, the Mw 6.6 Hokkaido Iburi-Tobu earthquake struck with its epicenter about 31 km from a CCS demonstration project in Tomakomai, Hokkaido [35]. Because the distances of both of these facilities were not far from the earthquake epicenters, people worried about the relationship between the earthquakes and CCS activities.…”

Section: Introductionmentioning

confidence: 99%

Pore Pressure Analysis for Distinguishing Earthquakes Induced by CO2 Injection from Natural Earthquakes

Chhun

Tsuji

2020

Sustainability

Self Cite

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It is important to distinguish between natural earthquakes and those induced by CO2 injection at carbon capture and storage sites. For example, the 2004 Mw 6.8 Chuetsu earthquake occurred close to the Nagaoka CO2 storage site during gas injection, but we could not quantify whether the earthquake was due to CO2 injection or not. Here, changes in pore pressure during CO2 injection at the Nagaoka site were simulated and compared with estimated natural seasonal fluctuations in pore pressure due to rainfall and snowmelt, as well as estimated pore pressure increases related to remote earthquakes. Changes in pore pressure due to CO2 injection were clearly distinguished from those due to rainfall and snowmelt. The simulated local increase in pore pressure at the seismogenic fault area was much less than the seasonal fluctuations related to precipitation and increases caused by remote earthquakes, and the lateral extent of pore pressure increase was insufficient to influence seismogenic faults. We also demonstrated that pore pressure changes due to distant earthquakes are capable of triggering slip on seismogenic faults. The approach we developed could be used to distinguish natural from injection-induced earthquakes and will be useful for that purpose at other CO2 sequestration sites.

show abstract

Advanced surface-wave analysis for 3D ocean bottom cable data to detect localized heterogeneity in shallow geological formation of a CO2 storage site

Cited by 19 publications

References 32 publications

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

Pore Pressure Analysis for Distinguishing Earthquakes Induced by CO2 Injection from Natural Earthquakes

Pore Pressure Analysis for Distinguishing Earthquakes Induced by CO2 Injection from Natural Earthquakes

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