Optimal designs of time-lapse seismic surveys for monitoring CO2 leakage through fault zones

Shang, Xuefeng; Huang, Lianjie

doi:10.1016/j.ijggc.2012.07.006

Cited by 10 publications

(8 citation statements)

References 14 publications

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“…In the following, we ignore the external force term without loss of generality. The concept of elastic sensitivity propagation was introduced in [6,21] to study elasticwavefield changes caused by the variation of a certain medium parameter in target monitoring regions during time-lapse seismic monitoring. In contrast to the conventional data analysis approach where the seismic data are simply compared using the waveform difference, this approach computes the partial derivative of the elastic wavefield with respect to the investigated medium parameter, and simulates the propagation of this quantity using the same formulation as the elastic-wave equation but with a different source term.…”

Section: Methodsmentioning

confidence: 99%

“…By taking the derivative of Eq. (2.1) with respect to ξ, we obtain the following elastic-wave sensitivity equations [6,21], with some modifications:…”

Section: Methodsmentioning

confidence: 99%

“…This approach has a significant advantage that the spatial distributions of the elastic-wave sensitivity energies indicates how much significant information of the time-lapse changes of reservoirs can be acquired using a given geophone distribution. This approach has been applied to monitoring CO 2 leakage through faults [21]. However, present elastic-wave sensitivity methods are limited to isotropic media, which can be simply described by the density ρ, P-wave velocity V P , S-wave velocity V S , and certain derived petrophysical parameters such as the ratio of fluid saturation.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Modeling of Anisotropic Elastic-Wave Sensitivity Propagation for Optimal Design of Time-Lapse Seismic Surveys

sci¹

2020

CICP

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Reliable subsurface time-lapse seismic monitoring is crucial for many geophysical applications, such as enhanced geothermal system characterization, geologic carbon utilization and storage, and conventional and unconventional oil/gas reservoir characterization, etc. We develop an elastic-wave sensitivity propagation method for optimal design of cost-effective time-lapse seismic surveys considering the fact that most of subsurface geologic layers and fractured reservoirs are anisotropic instead of isotropic. For anisotropic media, we define monitoring criteria using qP-and qSwave sensitivity energies after decomposing qP-and qS-wave components from the total elastic-wave sensitivity wavefield using a hybrid time-and frequency-domain approach. Geophones should therefore be placed at locations with significant qPand qS-wave sensitivity energies for cost-effective time-lapse seismic monitoring in an anisotropic geology setting. Our numerical modeling results for a modified anisotropic Hess model demonstrate that, compared with the isotropic case, subsurface anisotropy changes the spatial distributions of elastic-wave sensitivity energies. Consequently, it is necessary to consider subsurface anisotropies when designing the spatial distribution of geophones for cost-effective time-lapse seismic monitoring. This finding suggests that it is essential to use our new anisotropic elastic-wave sensitivity modeling method for optimal design of time-lapse seismic surveys to reliably monitor the changes in subsurface reservoirs, fracture zones or target monitoring regions.

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Section: Methodsmentioning

confidence: 99%

“…By taking the derivative of Eq. (2.1) with respect to ξ, we obtain the following elastic-wave sensitivity equations [6,21], with some modifications:…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical Modeling of Anisotropic Elastic-Wave Sensitivity Propagation for Optimal Design of Time-Lapse Seismic Surveys

sci¹

2020

CICP

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“…For time-lapse seismic monitoring, receivers should be placed at locations where elastic-wave sensitivities are significant; and elastic-wave sensitivity analysis provides a numerical tool for optimizing seismic monitoring designs. In a related example, Shang and Huang (2012) used elastic-wave sensitivity analysis (Denli and Huang, 2010) to model optimal time-lapse survey design for monitoring CO 2 leakage through fault zones for a hypothetical project site. Two stages of CO 2 leakage through fault zones were simulated.…”

Section: Monitoring Technologiesmentioning

confidence: 99%

Progress in monitoring strategies for risk reduction in geologic CO2 storage

Harbert

Daley

Bromhal

et al. 2016

International Journal of Greenhouse Gas Control

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“…Arts et al, 2004;Calvert, 2005;Shang and Huang, 2012). Time-lapse surveys consist of the collection of two or more seismic acquisitions recorded by the same source-receiver configuration but at different times.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of time lapse seismic data to the compliance of hydraulic fractures

Fang

Shang

Fehler

2013

SEG Technical Program Expanded Abstracts 2013

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SummaryWe study the sensitivity of seismic waves to changes in the fracture normal and tangential compliances by analyzing the fracture sensitivity wave equation, which is derived by differentiating the elastic wave equation with respect to the fracture compliance. The sources for the sensitivity wavefield are the sensitivity moments, which are functions of fracture compliance, background elastic properties and the stress acting on the fracture surface. Based on the analysis of the fracture sensitivity wave equation, we give the condition for the weak scattering approximation to be valid for fracture scattering. Under the weak scattering approximation, we find that the percentage change of fracture compliance in hydraulic fracturing is equal to the percentage change of the recorded time-lapse seismic data. This could provide a means for monitoring the opening/closing of fractures in hydraulic fracturing through time-lapse seismic surveys.

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Optimal designs of time-lapse seismic surveys for monitoring CO2 leakage through fault zones

Cited by 10 publications

References 14 publications

Numerical Modeling of Anisotropic Elastic-Wave Sensitivity Propagation for Optimal Design of Time-Lapse Seismic Surveys

Numerical Modeling of Anisotropic Elastic-Wave Sensitivity Propagation for Optimal Design of Time-Lapse Seismic Surveys

Progress in monitoring strategies for risk reduction in geologic CO2 storage

Sensitivity of time lapse seismic data to the compliance of hydraulic fractures

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