What is it about?
This study explores an innovative method for handling missing data in geochemical databases of geothermal fluids. By applying equivalent imputation models, both single and multiple imputation algorithms were used to recover missing records. The validity of the imputed data was assessed using conventional geochemical analysis tools, ensuring that the reconstructed data maintained the original chemical signatures of geothermal fluids.
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Why is it important?
Incomplete geochemical data can limit the accuracy of geothermal reservoir assessments, affecting exploration and resource management decisions. This study demonstrates that single imputation techniques effectively recover missing data while preserving key geochemical patterns. The proposed approach enhances data reliability, leading to better interpretations of fluid composition and hydrogeochemical processes in geothermal systems.
Perspectives
The use of equivalent imputation in geochemical studies presents a valuable computational tool for geothermal research. This methodology allows for more complete and reliable datasets, improving fluid classification, charge balance evaluations, and water–rock interaction analyses. Future studies could refine these imputation models to enhance their adaptability across various geothermal regions and geochemical conditions.
Lorena Díaz-González
Universidad Autonoma del Estado de Morelos
Read the Original
This page is a summary of: Equivalent imputation methodology for handling missing data in compositional geochemical databases of geothermal fluids, Geothermics, September 2022, Elsevier,
DOI: 10.1016/j.geothermics.2022.102440.
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