Coupling geophysical investigation with hydrothermal modeling to constrain the enthalpy classification of a potential geothermal resource

White, Jeremy T.; Karakhanian, A.; Connor, Chuck B; Connor, L.; Hughes, Joseph D.; Malservisi, R.; Wetmore, Paul H.

doi:10.1016/j.jvolgeores.2015.03.020

Cited by 6 publications

(10 citation statements)

References 26 publications

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“…The modeled gravity anomaly is calculated by summing the gravity contribution from each prism defined in the initial grid, after adjusting the density of each prism via inversion, so that the resulting calculated gravity anomaly map closely resembles the observed gravity anomaly map. The “forward” solution that calculates the gravity anomaly due to a grid of crustal prisms is based on the algorithm in Blakely () and is more completely described in White et al ().…”

Section: Collection and Modeling Of Gravity Datamentioning

confidence: 99%

“…Inversion is performed using the software package PEST (Model‐Independent Parameter Estimation and Uncertainty Analysis), which combines singular value decomposition (SVD) and Tikhonov regularization (Doherty, ; White et al, ) to find a best fit density model. We have 2,025 unknown parameters (density contrasts) and 538 gravity observations (279 new measurements and 259 previous measurements).…”

Section: Collection and Modeling Of Gravity Datamentioning

confidence: 99%

“…Bulk magma transport is approximated using the advection-diffusion equation, with ascent from a uniform magma source region and with heterogeneity within the crust that alters flow paths and gives rise to variations in magma flux at the surface. A three-dimensional (3-D) gravity inversion (White et al, 2015) is used to delineate the most prominent lateral changes in crustal density, hence constraining the magma transport model. We find that by using density discontinuities derived from the gravity data, the bulk magma transport model can simulate the major features of vent distribution observed in the SVF.…”

Section: Introductionmentioning

confidence: 99%

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A Geophysical Model for the Origin of Volcano Vent Clusters in a Colorado Plateau Volcanic Field

et al. 2017

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Variation in spatial density of Quaternary volcanic vents, and the occurrence of vent clusters, correlates with boundaries in Proterozoic crust in the Springerville volcanic field (SVF), Arizona, USA. Inverse modeling using 538 gravity measurements shows that vent clusters correlate with gradients in the gravity field due to lateral variation in crustal density. These lateral discontinuities in the crustal density can be explained by boundaries in the North American crust formed during Proterozoic accretion. Spatial density of volcanic vents is low in regions of high‐density Proterozoic crust, high in areas of relatively low density Proterozoic crust, and is greatest adjacent to crustal boundaries. Vent alignments parallel these boundaries. We have developed 2‐D and 3‐D numerical models of magma ascent through the crust to simulate long‐term, average magma migration that led to the development of vent clusters in the SVF, assuming that a viscous fluid flow through a porous media is statistically equivalent to magma migration averaged over geological time in the full field scale. The location and flux from the uniform magma source region are boundary conditions of the model. Changes in model diffusivity, associated with changes in the bulk properties of the lithosphere, can simulate preferential magma migration paths and alter estimated magma flux at the surface, implying that large‐scale crustal structures, such as inherited tectonic block boundaries, influence magma ascent and clustering of volcanic vents. Probabilistic models of volcanic hazard for distributed volcanic fields can be improved by identifying crustal structures and assessing their impact on volcano distribution with the use of numerical models.

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Section: Collection and Modeling Of Gravity Datamentioning

confidence: 99%

Section: Collection and Modeling Of Gravity Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Geophysical Model for the Origin of Volcano Vent Clusters in a Colorado Plateau Volcanic Field

et al. 2017

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“…The Karkar site was recognised as promising based on earlier studies from a well drilled in 1988 (Fig. 2; Gilliland et al, 2018;Georisk, 2012;White et al, 2015). The site is on a plateau around 3,000 m a.s.l., formed largely from Mesozoic-Cenozoic ophiolitic materials and Cenozoic lava flows and intrusions, cut by the Syunik branch of the Pambak-Sevan-Syunik (PSSF) fault system (Karakhanian et al, 1997;Meliksetian, 2013), hereafter the Syunik Fault.…”

mentioning

confidence: 94%

“…2a) raising the possibility that some deformation is taken up by aseismic slip or creep in weak lithologies such as the serpentinite. Prior to the drilling of wells B1 and B2, detailed magneto-telluric and gravity investigation was carried out (GeoRisk, 2012;White et al, 2015). White et al (2015) proposed that the geothermal resource was based not on the most recent volcanic materials but on the shallow quartz monzonite intrusion(s).…”

Section: Introduction To the Karkar Monogenetic Field And Recent Work At The Geothermal Sitementioning

confidence: 99%

Pleistocene - Holocene volcanism at the Karkar geothermal prospect, Armenia

Meliksetian

Neill

Barfod

et al. 2021

Quaternary Geochronology

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Quaternary volcanic centres north of the Bitlis-Zagros suture in Turkey, Iran and the Caucasus represent both volcanic hazards and potential or actual geothermal energy resources. Such challenges and opportunities cannot be fully quantified without understanding these volcanoes' petrogenesis, geochronology and magmatic, tectonic or other eruption triggers. In this preliminary study, we discuss the age and geology of the Karkar monogenetic volcanic field in Syunik, SE Armenia. The ~70 km 2 field is close to Armenia's only geothermal energy test drilling site. Fissurefed trachybasaltic andesite to trachyandesite lavas erupted on a trans-tensional segment of the Syunik branch of the Pambak-Sevan-Syunik Fault, where previous studies suggested a Holocene age for the youngest eruptions. Here, high-resolution duplicate 40 Ar/ 39 Ar dating of 7 groundmass separates provided composite plateau or inverse isochron ages ranging from 6 ± 3 ka and 8 ± 3 ka to 332 ± 9 ka (2σ). Each lava flow displays petrographic and whole rock geochemical patterns consistent with melting of subduction-modified lithospheric mantle and extensive evolution within the crust involving fractional crystallisation and mixing of magma batches. Data confirm that volcanic activity in Syunik and also Vardenis provinces overlapped with Palaeolithic to Bronze Age human occupation and remains a minor lava inundation hazard. Further geochemical work will allow constraint of the depth and timescales of magma storage. Both Karkar and the area around Porak volcano, which lies 35 km N of Karkar on the Syunik Fault, might be considered for future geothermal energy developments. Keywords Armenia; 40 Ar/ 39 Ar geochronology; Geochemistry; Geothermal Energy; Monogenetic Volcanism; Hazards Highlights -Monogenetic volcanism close to new geothermal energy development in SE Armenian Uplands -Last eruptions during the Holocene based on 40 Ar/ 39 Ar geochronology and archaeology -Magmas sourced from sub-continental mantle lithosphere followed by fractionation and mixing Figure 1. a) Regional setting of the study. b) Main crustal blocks discussed in the text. c) A map of Armenia in the South Caucasus showing the locations of major volcanoes or volcanic fields, faults, and towns mentioned in this text. Background relief map extracted from GeoMapApp v3. 6.10 (http://geomapapp.org;Ryan et al. 2009). Relative fault motions from Karakhanyan et al. (2017). Geological Background The Arabia-Eurasia collision zone and ArmeniaArmenia is part of the Arabia-Eurasia collision zone, itself belonging to the Alpine-Himalayan orogenic belt resulting from the closure of the Tethys Ocean during the Late Mesozoic -Cenozoic. The country is landlocked in the South Caucasus mountains (Fig. 1) and consists of two crustal domains. To the N and NE are assemblages of

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A comprehensive study on modeling methods for gauging of resources in a geothermal reservoirs

Shah

Radia

Shah

et al. 2021

Model. Earth Syst. Environ.

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Coupling geophysical investigation with hydrothermal modeling to constrain the enthalpy classification of a potential geothermal resource

Cited by 6 publications

References 26 publications

A Geophysical Model for the Origin of Volcano Vent Clusters in a Colorado Plateau Volcanic Field

A Geophysical Model for the Origin of Volcano Vent Clusters in a Colorado Plateau Volcanic Field

Pleistocene - Holocene volcanism at the Karkar geothermal prospect, Armenia

A comprehensive study on modeling methods for gauging of resources in a geothermal reservoirs

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