Characterizing volumetric strain at Brady Hot Springs, Nevada, USA using geodetic data, numerical models and prior information

Reinisch, Elena C.; Cardiff, Michael; Feigl, K. L.

doi:10.1093/gji/ggy347

Cited by 8 publications

(33 citation statements)

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“…Using methods outlined previously [40], we have advanced the characterization of the subsidence observed by InSAR at Coso geothermal field by estimating the volume change rate for each interferometric pair using a "cuboid" parameterization. Using temporal adjustment, we find a significant difference between volume change rates estimated before and after 2010 with 95% confidence.…”

Section: Discussionmentioning

confidence: 99%

“…We favor this parameterization over other analytical deformation models which may be used to describe circular surface deformation patterns due to its flexibility in terms of model geometry and its direct interpretability in terms of the geothermal reservoir. The model parameters, including the source location, volume change, cuboid dimensions, and InSAR-related nuisance parameters (e.g., [39,40]), along with their uncertainties, are estimated using simulated annealing methods employed by the general inversion of phase technique (GIPhT) [39,41].…”

Section: Estimating Volume Change Of the Reservoirmentioning

confidence: 99%

“…Following the procedure in Reinisch et al [40], we define a priori confidence intervals for reasonable values of strain rate under each interpretation. Using results from well logs [50], we define the mean values for the rates of change in pressureṖ and temperatureṪ with confidence intervals defined such that a rate of zero is two standard deviations away from the mean value.…”

Section: Identifying a Driving Mechanism For The Observed Subsidencementioning

confidence: 99%

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Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016

et al. 2020

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We measure transient deformation at Coso geothermal field using interferometric synthetic aperture radar (InSAR) data acquired between 2004 and 2016 and relative positions estimated from global positioning system (GPS) to quantify relationships between deformation and pumping. We parameterize the reservoir as a cuboidal sink and solve for best-fitting reservoir dimensions and locations before and after 2010 in accordance with sustainability efforts implemented in late 2009 at the site. Time-series analysis is performed on volume changes estimated from pairs of synthetic aperture radar (SAR) and daily GPS data. We identify decreasing pore-fluid pressure as the dominant mechanism driving the subsidence observed at Coso geothermal field. We also find a significant positive correlation between deformation and production rate.

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Section: Discussionmentioning

confidence: 99%

Section: Estimating Volume Change Of the Reservoirmentioning

confidence: 99%

Section: Identifying a Driving Mechanism For The Observed Subsidencementioning

confidence: 99%

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Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016

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“…We continue this assessment for later time intervals. Following the same validation procedure from Reinisch et al (2018), we compute the range change from the displacement vector measured by GPS at BRD1 with respect to BRDY differenced in time corresponding to a subset of our MST TSX Track 53 pairs starting in 2017. We compare these range changes measured by GPS to range changes measured by TSX InSAR of BRD1 with respect to BRDY, as shown in Figure 6.…”

Section: Datamentioning

confidence: 99%

“…In this study, we expand on the results of Reinisch et al (2018) by applying their parameterization to a data set of interferometric pairs spanning from 2003 through 2018 covering Brady Hot Springs. Doing so allows us to update the previous interferometric time series performed at Brady.…”

Section: Introductionmentioning

confidence: 99%

Time‐Series Analysis of Volume Change at Brady Hot Springs, Nevada, USA, Using Geodetic Data From 2003–2018

et al. 2020

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Brady Hot Springs geothermal field has exhibited subsidence, as measured by interferometric synthetic aperture radar (InSAR). Previous studies have examined both the temporal evolution of the deformation from 2004 through 2016 and the spatial extent of the deformation, directly relating the observed subsidence to volumetric changes below the surface. We extend the modeling at Brady to analyze a data set of interferometric pairs spanning from the end of 2003 through 2018. We examine spatial and temporal trends in the observed deformation by time-series analysis of each of the 1,656 cubic voxels in a parameterized elastic dislocation model to identify areas where the subsurface volume changes as a function of time. Joint time-series analysis of Global Positioning System and InSAR pairs confirm significant changes in rates of volume change during time intervals when well operations were varied. The rate of subsidence increases with increased injection, consistent with the identification of thermal contraction of the rock matrix as the dominant driving mechanism. Conversely, the modeled volume increases when pumping ceases, suggesting thermal expansion of the rock matrix.

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A New Dynamic Indentation Tool for Rapid Mechanical Properties Profiling and Mapping

2021

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Characterizing volumetric strain at Brady Hot Springs, Nevada, USA using geodetic data, numerical models and prior information

Cited by 8 publications

References 35 publications

Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016

Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016

Time‐Series Analysis of Volume Change at Brady Hot Springs, Nevada, USA, Using Geodetic Data From 2003–2018

A New Dynamic Indentation Tool for Rapid Mechanical Properties Profiling and Mapping

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