In-situ density and litho-constrained modeling of gravity data in the Los Humeros geothermal field, Mexico.

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Title: In-situ density and litho-constrained modeling of gravity data in the Los Humeros geothermal field, Mexico.
Authors: Cornejo-Triviño, Natalia1 (AUTHOR), Leandra, M.1 (AUTHOR), Weydt1 (AUTHOR), Sass, Ingo1,2 (AUTHOR), Schill, Eva3 (AUTHOR) eschill@lbl.gov
Source: Geothermal Energy. 7/3/2026, Vol. 14 Issue 1, p1-19. 19p.
Subject Terms: *Geological modeling, *Gravimetry, *Geothermal resources, *Volcanology, *Geophysical prediction, *Rock analysis
Geographic Terms: Mexico
Abstract: To improve the reliability of gravity-based geothermal reservoir characterization, this study evaluates density parameterization strategies for constraining gravity modeling and inversion in the complex volcanic setting of the Los Humeros Geothermal Field (LHGF), Mexico. We integrate gravity data, a 3-D geological model, and petrophysical measurements to evaluate three density parameterizations in the starting models: (C1) mean bulk density, (C2) compaction-corrected saturated bulk density, and (C3) a multimodal density distribution derived from lithologic sub-volumes. Forward modeling results show a consistently poor fit on the order of several mGal between observed and computed gravity data across all three parameterizations, characterized by a persistent negative bias in the computed gravity and only limited improvement despite optimized initial densities. Inverse modeling that accounts for compaction effects and saturated-porosity densities significantly reduces the misfit between observed and computed gravity, generally to below 1 mGal. A detailed misfit analysis reveals that our initial density values consistently underestimated optimal densities by 60–130 kg/m³. The misfit shows no systematic variation with depth but seems to be linked to lithology. The low salinity of reservoir fluids (≤ 4 g/L) suggests that salinity effects are negligible. The multi-modal density approach (C3) does not improve the fit and introduced skewness, likely due to volumetric estimates of lithologies derived from limited available data for the individual units. Inversion tests with varying probabilities of density and geometry changes revealed that for the LHGF a 70:30 ratio produced the most optimal model, confirming the overall consistency of the initial 3-D geological model with observed gravity data. Smaller density variations in pre-caldera units suggest greater homogeneity, while fault zones likely contribute to localized heterogeneity in the underlying units. Our results do not distinguish between the conventional and superheated sectors of the LHGF, highlighting that gravity anomalies in this volcanic system primarily reflect the geological structure rather than thermal or fluid characteristics. Finally, our methodology provides a practical framework for quantifying uncertainty of 3-D geological models. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Label: Title
  Group: Ti
  Data: In-situ density and litho-constrained modeling of gravity data in the Los Humeros geothermal field, Mexico.
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  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Cornejo-Triviño%2C+Natalia%22">Cornejo-Triviño, Natalia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leandra%2C+M%2E%22">Leandra, M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Weydt%22">Weydt</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sass%2C+Ingo%22">Sass, Ingo</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schill%2C+Eva%22">Schill, Eva</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> eschill@lbl.gov</i>
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  Data: <searchLink fieldCode="JN" term="%22Geothermal+Energy%22">Geothermal Energy</searchLink>. 7/3/2026, Vol. 14 Issue 1, p1-19. 19p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Geological+modeling%22">Geological modeling</searchLink><br />*<searchLink fieldCode="DE" term="%22Gravimetry%22">Gravimetry</searchLink><br />*<searchLink fieldCode="DE" term="%22Geothermal+resources%22">Geothermal resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Volcanology%22">Volcanology</searchLink><br />*<searchLink fieldCode="DE" term="%22Geophysical+prediction%22">Geophysical prediction</searchLink><br />*<searchLink fieldCode="DE" term="%22Rock+analysis%22">Rock analysis</searchLink>
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  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Mexico%22">Mexico</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To improve the reliability of gravity-based geothermal reservoir characterization, this study evaluates density parameterization strategies for constraining gravity modeling and inversion in the complex volcanic setting of the Los Humeros Geothermal Field (LHGF), Mexico. We integrate gravity data, a 3-D geological model, and petrophysical measurements to evaluate three density parameterizations in the starting models: (C1) mean bulk density, (C2) compaction-corrected saturated bulk density, and (C3) a multimodal density distribution derived from lithologic sub-volumes. Forward modeling results show a consistently poor fit on the order of several mGal between observed and computed gravity data across all three parameterizations, characterized by a persistent negative bias in the computed gravity and only limited improvement despite optimized initial densities. Inverse modeling that accounts for compaction effects and saturated-porosity densities significantly reduces the misfit between observed and computed gravity, generally to below 1 mGal. A detailed misfit analysis reveals that our initial density values consistently underestimated optimal densities by 60–130 kg/m³. The misfit shows no systematic variation with depth but seems to be linked to lithology. The low salinity of reservoir fluids (≤ 4 g/L) suggests that salinity effects are negligible. The multi-modal density approach (C3) does not improve the fit and introduced skewness, likely due to volumetric estimates of lithologies derived from limited available data for the individual units. Inversion tests with varying probabilities of density and geometry changes revealed that for the LHGF a 70:30 ratio produced the most optimal model, confirming the overall consistency of the initial 3-D geological model with observed gravity data. Smaller density variations in pre-caldera units suggest greater homogeneity, while fault zones likely contribute to localized heterogeneity in the underlying units. Our results do not distinguish between the conventional and superheated sectors of the LHGF, highlighting that gravity anomalies in this volcanic system primarily reflect the geological structure rather than thermal or fluid characteristics. Finally, our methodology provides a practical framework for quantifying uncertainty of 3-D geological models. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s40517-026-00395-4
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      – Code: eng
        Text: English
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        PageCount: 19
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    Subjects:
      – SubjectFull: Geological modeling
        Type: general
      – SubjectFull: Gravimetry
        Type: general
      – SubjectFull: Geothermal resources
        Type: general
      – SubjectFull: Volcanology
        Type: general
      – SubjectFull: Geophysical prediction
        Type: general
      – SubjectFull: Rock analysis
        Type: general
      – SubjectFull: Mexico
        Type: general
    Titles:
      – TitleFull: In-situ density and litho-constrained modeling of gravity data in the Los Humeros geothermal field, Mexico.
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            NameFull: Cornejo-Triviño, Natalia
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            NameFull: Leandra, M.
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            NameFull: Weydt
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            NameFull: Sass, Ingo
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            NameFull: Schill, Eva
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            – D: 03
              M: 07
              Text: 7/3/2026
              Type: published
              Y: 2026
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              Value: 14
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            – TitleFull: Geothermal Energy
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