Structural analysis and fluid geochemistry as tools to assess the potential of the Tocomar geothermal system, Central Puna (Argentina)

Filipovich, Rubén Eduardo; Chiodi, Agostina; Báez, Walter; Ahumada, María Florencia; Invernizzi, Chiara; Taviani, Sara; Aldega, Luca; Tassi, Franco; Barrios, Alfonso; Corrado, Sveva; Groppelli, Gianluca; Norini, Gianluca; Bigi, Sabina; Caricchi, Chiara; Benedetti, A. A. De; Astis, G. De; Becchio, Raúl; Viramonte, J.; Giordano, Guido

doi:10.1016/j.geothermics.2021.102297

Cited by 13 publications

(8 citation statements)

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“…Here, we model CO 2 / 3 He and δ 13 C data for a total of 172 gas samples. These are mostly published data (n = 158) (Hilton et al, 1993;Hoke et al, 1994;Varekamp et al, 2006;Sepúlveda et al, 2007;Aguilera, 2008;Ray et al, 2009;Tassi et al, 2009;Tassi et al, 2010;Capaccioni et al, 2011;Tassi et al, 2011;Aguilera et al, 2012;Agusto et al, 2013;Benavente et al, 2013;Chiodi et al, 2015;Aguilera et al, 2016;Benavente et al, 2016;Roulleau et al, 2016;Tardani et al, 2016;Tassi et al, 2016;Arnold et al, 2017;Tassi et al, 2017;Lopez et al, 2018;Chiodi et al, 2019;Arnold et al, 2020;Inostroza et al, 2020;Robidoux et al, 2020;Lages et al, 2021;Tardani et al, 2021;Filipovich et al, 2022) and samples from this study (n = 14). We focus on gas samples in order to understand sources, as gases are less susceptible to fractionation processes than water phase samples.…”

Section: Carbon Sourcesmentioning

confidence: 70%

“…Helium (Figure 2) and carbon isotopic and relative abundance ratios (Figure 3) are reported in Table 1. For comparison, we also compile data from a number of previous studies (Hilton et al, 1993;Hoke et al, 1994;Varekamp et al, 2006;Sepúlveda et al, 2007;Aguilera, 2008;Ray et al, 2009;Tassi et al, 2009;Tassi et al, 2010;Tassi et al, 2011;Capaccioni et al, 2011;Aguilera et al, 2012;Agusto et al, 2013;Benavente et al, 2013;Chiodi et al, 2015;Aguilera et al, 2016;Benavente et al, 2016;Roulleau et al, 2016;Tardani et al, 2016;Tassi et al, 2016;Tassi et al, 2017;Arnold et al, 2017;Lopez et al, 2018;Chiodi et al, 2019;Arnold et al, 2020;Inostroza et al, 2020;Robidoux et al, 2020;Tardani et al, 2021;Lages et al, 2021;Filipovich et al, 2022; Supplementary Table S1). We also compute and report estimates of subduction and mantle derived inputs, after Sano and Marty (1995) (Table 2).…”

Section: Resultsmentioning

confidence: 99%

“…Several prior studies have characterized He-C isotope systematics in volcanic and geothermal systems in the Andes (Figure 1; e.g., Hilton et al, 1993;Hoke et al, 1994;Varekamp et al, 2006;Sepúlveda et al, 2007;Aguilera, 2008;Ray et al, 2009;Tassi et al, 2009;Tassi et al, 2010;Capaccioni et al, 2011;Tassi et al, 2011;Aguilera et al, 2012;Agusto et al, 2013;Benavente et al, 2013;Chiodi et al, 2015;Aguilera et al, 2016;Benavente et al, 2016;Roulleau et al, 2016;Tardani et al, 2016;Tassi et al, 2016;Arnold et al, 2017;Tassi et al, 2017;Lopez et al, 2018;Chiodi et al, 2019;Arnold et al, 2020;Inostroza et al, 2020;Robidoux et al, 2020;Lages et al, 2021;Tardani et al, 2021;Filipovich et al, 2022) to understand the source of the volcanic fluid and gas emissions. These studies demonstrate the cooccurrence of mantle ( 3 He/ 4 He up to ~8 R A ) and crustal ( 3 He/ 4 He ~0.05 R A ) He sources.…”

Section: Introductionmentioning

confidence: 99%

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The Helium and Carbon Isotope Characteristics of the Andean Convergent Margin

et al. 2022

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Subduction zones represent the interface between Earth’s interior (crust and mantle) and exterior (atmosphere and oceans), where carbon and other volatile elements are actively cycled between Earth reservoirs by plate tectonics. Helium is a sensitive tracer of volatile sources and can be used to deconvolute mantle and crustal sources in arcs; however it is not thought to be recycled into the mantle by subduction processes. In contrast, carbon is readily recycled, mostly in the form of carbon-rich sediments, and can thus be used to understand volatile delivery via subduction. Further, carbon is chemically-reactive and isotope fractionation can be used to determine the main processes controlling volatile movements within arc systems. Here, we report helium isotope and abundance data for 42 deeply-sourced fluid and gas samples from the Central Volcanic Zone (CVZ) and Southern Volcanic Zone (SVZ) of the Andean Convergent Margin (ACM). Data are used to assess the influence of subduction parameters (e.g., crustal thickness, subduction inputs, and convergence rate) on the composition of volatiles in surface volcanic fluid and gas emissions. He isotopes from the CVZ backarc range from 0.1 to 2.6 RA (n = 23), with the highest values in the Puna and the lowest in the Sub-Andean foreland fold-and-thrust belt. Atmosphere-corrected He isotopes from the SVZ range from 0.7 to 5.0 RA (n = 19). Taken together, these data reveal a clear southeastward increase in 3He/4He, with the highest values (in the SVZ) falling below the nominal range associated with pure upper mantle helium (8 ± 1 RA), approaching the mean He isotope value for arc gases of (5.4 ± 1.9 RA). Notably, the lowest values are found in the CVZ, suggesting more significant crustal inputs (i.e., assimilation of 4He) to the helium budget. The crustal thickness in the CVZ (up to 70 km) is significantly larger than in the SVZ, where it is just ∼40 km. We suggest that crustal thickness exerts a primary control on the extent of fluid-crust interaction, as helium and other volatiles rise through the upper plate in the ACM. We also report carbon isotopes from (n = 11) sites in the CVZ, where δ13C varies between −15.3‰ and −1.2‰ [vs. Vienna Pee Dee Belemnite (VPDB)] and CO2/3He values that vary by over two orders of magnitude (6.9 × 108–1.7 × 1011). In the SVZ, carbon isotope ratios are also reported from (n = 13) sites and vary between −17.2‰ and −4.1‰. CO2/3He values vary by over four orders of magnitude (4.7 × 107–1.7 × 1012). Low δ13C and CO2/3He values are consistent with CO2 removal (e.g., calcite precipitation and gas dissolution) in shallow hydrothermal systems. Carbon isotope fractionation modeling suggests that calcite precipitation occurs at temperatures coincident with the upper temperature limit for life (122°C), suggesting that biology may play a role in C-He systematics of arc-related volcanic fluid and gas emissions.

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Section: Carbon Sourcesmentioning

confidence: 70%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Helium and Carbon Isotope Characteristics of the Andean Convergent Margin

et al. 2022

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“…However, there are also some highly active faults cutting the edge of the basin, and the faults are often closely related to thermal conductivity and seismic activity. Faults are often channels for the transfer of geothermal and geothermal water, and geothermal resources are more likely to exist in these areas [57][58][59] . According to the data collected from geological surveys, aerial photographs and remote sensing ETM images, the main active fault belts in the study area in the recent period related to heat conduction and earthquake generation are as follows: NNE trending, NE trending fault tectonic belts, near-EW trending fault tectonic belts, and NW trending fault belts, the index data are shown in Fig.…”

Section: Principal Component Analysismentioning

confidence: 99%

GIS model for geothermal advantageous target selection

Huang

Chen

et al. 2023

Sci Rep

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As the particularly popular green energy, geothermal resources are gradually favored by countries around the world, and the development model centered on geothermal dew point cannot meet the increasing geothermal demand. In this paper, a GIS model combining PCA and AHP is proposed, aiming to select the advantages of geothermal resources at the regional scale and analyze the main influencing indicators. Through the combination of the two methods, both data and empirical can be considered, then the geothermal advantage distribution on the area can be displayed through GIS software images. A multi-index evaluation system is established to qualitatively and quantitatively evaluate the mid-high temperature geothermal resources in Jiangxi Province, and carry out the evaluation of the dominant target areas and the analysis of geothermal impact indicators. The results show that it is divided into 7 geothermal resource potential areas and 38 geothermal advantage targets, and the determination of deep fault is the most critical index of geothermal distribution. This method is suitable for large-scale geothermal research, multi-index and multi-data model analysis and precise positioning of high-quality geothermal resource targets, which can meet the needs of geothermal research at the regional scale.

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“…However, there are also some highly active faults cutting the edge of the basin, and the faults are often closely related to thermal conductivity and seismic activity. Faults are often channels for the transfer of geothermal and geothermal water, and geothermal resources are more likely to exist in these areas (Jiang et al, 2019;Christos et al, 2020;Filipovich et al, 2022). According to the data collected from geological surveys, aerial photographs and remote sensing ETM images, the main active fault belts in the study area in the recent period related to heat conduction and earthquake generation are as follows: NNE trending, NE trending fault tectonic belts, near-EW trending fault tectonic belts, and NW trending fault belts, the index data are shown in Figure 9.…”

Section: Indicator Selectionmentioning

confidence: 99%

Target selection for mid-high temperature geothermal exploration based on AHP and PCA: A case study of Jiangxi Province, China

Huang

Chen

et al. 2022

Preprint

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Jiangxi Province is located in the tropical zone of mid-high temperature geothermal resources along the southeastern coast of China. Geothermal geological surveys, the exposed natural hot springs, the explored geothermal walls and the reported geothermal research results related to the potential of geothermal energy indicate the abundant geothermal resources and the high formation potential of mid-high temperature geothermal resources in Jiangxi Province. However, the research level of geothermal resources in this area is relatively low, the distribution of geothermal hotspots is uneven, and the specific resource distribution, geothermal temperature, and resource quantity are not well understood, so it is difficult to systematically carry out the mid-high geothermal development in this province. Therefore, we collect the data of the study area, established a multi-index evaluation model combining experience and data, and carried out the evaluation of geothermal resources advantageous target areas and the analysis of geothermal impact indicators. The main purpose of this study is to use analytic hierarchy process (AHP) and principal component analysis (PCA) to qualitatively and quantitatively evaluate the mid-high temperature geothermal resources of the Jiangxi Province, and also to propose a dual-method comparative evaluation model for the study of the mid-high geothermal target area. Based on the quantitative data from geological, hydrological and geophysical sources and the extensive experience of regional workers and geologists, by using the AHP and PCA, we divide the study area into 7 geothermal resource potential zones and 38 geothermal optimal target areas. It is determined that deep large faults are the most critical indicators affecting the distribution of geothermal resources in the study area, followed by the heat storage value of the silicon enthalpy equation and the magmatic rocks. This study is of great significance for geothermal research in similar areas, multi-index and multi-data model analysis, and accurate positioning of high-quality geothermal resource target areas. It also has important guiding significance for the follow-up development planning of geothermal resources the research area or further research on the geothermal target area.

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Structural analysis and fluid geochemistry as tools to assess the potential of the Tocomar geothermal system, Central Puna (Argentina)

Cited by 13 publications

References 122 publications

The Helium and Carbon Isotope Characteristics of the Andean Convergent Margin

The Helium and Carbon Isotope Characteristics of the Andean Convergent Margin

GIS model for geothermal advantageous target selection

Target selection for mid-high temperature geothermal exploration based on AHP and PCA: A case study of Jiangxi Province, China

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