Using Gaussian Reconstruction to Estimate Time-lapse Seismic Velocity Change

2018 ◽  
Author(s):  
Ouyang Yang ◽  
Zhu Zhenyu ◽  
Zhang Jinmiao
Keyword(s):  
Seismic Velocity ◽  
Time Lapse ◽  
Velocity Change ◽  
Seismic Velocity Change

scholarly journals Continuous active-source seismic monitoring of C O2 injection in a brine aquifer

Geophysics ◽  
2007 ◽  
Vol 72 (5) ◽  
pp. A57-A61 ◽  
Author(s):  
Thomas M. Daley ◽  
Ray D. Solbau ◽  
Jonathan B. Ajo-Franklin ◽  
Sally M. Benson
Keyword(s):  
Seismic Velocity ◽  
Seismic Monitoring ◽  
Small Scale ◽  
Saline Aquifer ◽  
Observation Well ◽  
Velocity Change ◽  
Seismic Velocity Change ◽  
Fluid Sampling ◽  
Brine Aquifer

Continuous crosswell seismic monitoring of a small-scale [Formula: see text] injection was accomplished with the development of a novel tubing-deployed piezoelectric borehole source. This piezotube source was deployed on the [Formula: see text] injection tubing, near the top of the saline aquifer reservoir at [Formula: see text] depth, and allowed acquisition of crosswell recordings at [Formula: see text] intervals during the multiday injection. The change in traveltime recorded at various depths in a nearby observation well allowed hour-by-hour monitoring of the growing [Formula: see text] plume via the induced seismic velocity change. Traveltime changes of [Formula: see text] (up to 8%) were observed, with no change seen at control sensors placed above the reservoir. The traveltime measurements indicate that the [Formula: see text] plume reached the top of the reservoir sand before reaching the observation well, where regular fluid sampling was occuring during the injection, thus providing information about the in situ buoyancy of [Formula: see text].

scholarly journals Long-term dynamics of Piton de la Fournaise volcano from 13 years of seismic velocity change measurements and GPS observations

2014 ◽  
Vol 119 (10) ◽  
pp. 7654-7666 ◽  
Author(s):  
Diane Rivet ◽  
Florent Brenguier ◽  
Daniel Clarke ◽  
Nikolaï M. Shapiro ◽  
Aline Peltier
Keyword(s):  
Seismic Velocity ◽  
Velocity Change ◽  
Piton De La Fournaise ◽  
Seismic Velocity Change ◽  
Gps Observations

Time-lapse image-domain tomography using adjoint-state methods

Geophysics ◽  
2013 ◽  
Vol 78 (4) ◽  
pp. A29-A33 ◽  
Author(s):  
Jeffrey Shragge ◽  
Tongning Yang ◽  
Paul Sava
Keyword(s):  
Seismic Velocity ◽  
Time Lapse ◽  
Velocity Estimation ◽  
Data Sets ◽  
Velocity Change ◽  
Image Domain ◽  
Adjoint State ◽  
The Difference ◽  
Monitor Image ◽  
4D Seismic

Adjoint-state methods (ASMs) have proven successful for calculating the gradients of the functionals commonly found in geophysical inverse problems. The 3D ASM image-domain tomography (IDT) formulation of the seismic velocity estimation problem highlights imperfections in migrated image volumes and, using appropriate penalty functions (e.g., differential semblance), forms an objective function that can be minimized using standard optimization approaches. For time-lapse (4D) seismic scenarios, we show that the 3D ASM-IDT approach can be extended to multiple (e.g., baseline and monitor) data sets and offers high-quality estimates of subsurface velocity change. We discuss two different penalty operators that lead to absolute and relative 4D inversion strategies. The absolute approach uses the difference of two independent 3D inversions to estimate a 4D model perturbation (i.e., slowness squared). The relative approach inverts for the model perturbation that optimally matches the monitor image to the baseline image — even if migrated energy is imperfectly focused. Both approaches yield good 4D slowness estimates; however, we assert that the relative approach is more robust given the ubiquitous presence of nonrepeatable 4D acquisition noise and imperfect baseline model estimates.

Fractional seismic velocity change related to magma intrusions during earthquake swarms in the eastern Izu peninsula, central Japan

2012 ◽  
Vol 117 (B12) ◽  
pp. n/a-n/a ◽  
Author(s):  
Tomotake Ueno ◽  
Tatsuhiko Saito ◽  
Katsuhiko Shiomi ◽  
Bogdan Enescu ◽  
Hitoshi Hirose ◽  
...  
Keyword(s):  
Seismic Velocity ◽  
Earthquake Swarms ◽  
Central Japan ◽  
Velocity Change ◽  
Izu Peninsula ◽  
Seismic Velocity Change

scholarly journals Analysis of Seismic Velocity Change and AVO Response Depending on Saturation of Kerogen and GOR in Shale Reservoirs

2016 ◽  
Vol 19 (1) ◽  
pp. 29-36
Author(s):  
Junhwan Choi ◽  
Jaewook Lee ◽  
Joongmoo Byun ◽  
Bona Kim ◽  
Soyoung Kim
Keyword(s):  
Seismic Velocity ◽  
Velocity Change ◽  
Shale Reservoirs ◽  
Seismic Velocity Change

scholarly journals Monitoring seismic velocity change caused by the 2011 Tohoku-oki earthquake using ambient noise records

2012 ◽  
Vol 39 (9) ◽  
pp. n/a-n/a ◽  
Author(s):  
Shohei Minato ◽  
Takeshi Tsuji ◽  
Shiro Ohmi ◽  
Toshifumi Matsuoka
Keyword(s):  
Ambient Noise ◽  
Seismic Velocity ◽  
Velocity Change ◽  
Seismic Velocity Change

scholarly journals Robust seismic velocity change estimation using ambient noise recordings

2016 ◽  
Vol 205 (3) ◽  
pp. 1926-1936 ◽  
Author(s):  
E. Daskalakis ◽  
C.P. Evangelidis ◽  
J. Garnier ◽  
N.S. Melis ◽  
G. Papanicolaou ◽  
...  
Keyword(s):  
Ambient Noise ◽  
Seismic Velocity ◽  
Velocity Change ◽  
Seismic Velocity Change

Spatial Evaluation of Pore Pressure Variations Related to Rainfall from Seismic Velocity Changes

2021 ◽  
Author(s):  
Rezkia Dewi Andajani ◽  
Takeshi Tsuji ◽  
Roel Snieder ◽  
Tatsunori Ikeda
Keyword(s):  
Pore Pressure ◽  
Negative Correlation ◽  
Ambient Noise ◽  
Seismic Velocity ◽  
Diffusion Mechanism ◽  
Velocity Change ◽  
Diffusion Parameters ◽  
The Status ◽  
Seismic Velocity Changes ◽  
Velocity Changes

<p>Crustal pore pressure, which could trigger seismicity and volcanic activity, varies with fluid invasion. Various studies have discussed the potential of using seismic velocity changes from ambient noise to evaluate pore pressure conditions, especially due to rainfall perturbations. Although the influence of rainfall on seismic velocity changes has been reported, consideration of the spatial influence on rainfall towards seismic velocity and its mechanism have not been well understood. We investigated the mechanism of rainfall-induced pore pressure diffusion in southwestern Japan, using seismic velocity change (Vs) inferred from ambient noise. We modeled pore pressure changes from rainfall data based on a diffusion mechanism at the locations where infiltration is indicated. By calculating the correlation between Vs changes and the modeled pore pressure with various hydraulic diffusion parameters, the optimum hydraulic diffusion parameter was obtained. We estimated the diffusion parameters with the highest negative correlation between pore pressure and Vs change because a negative correlation indicates pore pressure increase due to diffusion induced by groundwater load. Furthermore, the spatial variation of the hydraulic diffusivity infers the heterogeneity of the rocks in different locations. This finding suggests that the response of pore pressure induced by rainfall percolation depends on location.  We show that seismic velocity monitoring can be used to evaluate the status of pore pressure at different locations, which is useful for fluid injection, CO<sub>2</sub> wellbore storage, and geothermal development.</p>

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