1887

Abstract

Summary

Reliability of diverse practical and fundamental geological results depends on validation of initial data background, research techniques used, methodology and means of sampling, which differ by design according to the aim of research. Accumulated i16n various databases and databanks information on geological objects that was acquired from different sources using different analytical techniques often turns out to be haphazard or even contradictory, which greatly limits its utilization possibilities. This research aims to develop specialized database targeted on geochemical modelling for magmatic system of Precambrian Korosten Pluton (Ukrainian Shield). This publication focuses on results of implementation of databank development basic principles and following analytical quality control of final results: (1) sampling points for main rock types are provided with sufficient geological background; (2) representativeness of samples is granted by their sufficient weight an d multistage filtration by various research techniques (petrographic, mineralogical, XRF etc.); (3) analytical data were obtained simultaneously in single laboratory by single precision analytical technique; (4) high level of analytical quality control grants reliability of geological information.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201902100
2019-05-15
2020-05-27
Loading full text...

Full text loading...

References

  1. Andreyev, O.V.
    [2016] Determination of trace elements concentration in separate mica crystrals at an example of biotite. Methods and objects of chemical analysis, 11 (1), 10–15.
    [Google Scholar]
  2. Andrіeіev, O.V.
    [2018] Perspectives of chemical isochrone method of dating (chime) for the Rb-Sr system of a potassium minerals based on XRF. Monitoring of Geological Processes and Ecological Condition of the Environment: “Proceedings of XIІ International Scientific Conference”13–16 November 2018, Kyiv, Ukraine. DOI: 10.3997/2214‑4609.201803141
    https://doi.org/10.3997/2214-4609.201803141 [Google Scholar]
  3. Batuner, L.M., Pozin, M.E.
    [1971] Mathematical methods in chemical techniques. Leningrad. Chemistry, 824. (in Russian)
    [Google Scholar]
  4. GavrylivL. Shnyukov, S., Lazareva, I., Aleksieienko, A.
    [2017] Possible capabilities of existing analytical databanks use in modelling of geochemical processes. 16th EAGE International Conference on Geoinformatics. Theoretical and Applied Aspects, 15–17 May 2017, Kyiv, Ukraine. DOI: 10.3997/2214‑4609.201701842
    https://doi.org/10.3997/2214-4609.201701842 [Google Scholar]
  5. Lazareva, I., ShnyukovS., Aleksieienko, A., GavrylivL.
    [2017] Ore-bearing metasomatites of Perga area and Korosten pluton granitoids (Ukrainian shield): genetic relations on the basis of geochemical modelling. Visnyk Taras Shevchenko National University of Kyiv. Geology, 3 (82), 66–79.
    [Google Scholar]
  6. Shnyukov, S., Osypenko, V.
    [2016] The Proskurov massif of alkaline rocks (Ukrainian Shield): new geochemical database. Visnyk Taras Shevchenko National University of Kyiv. Geology, 1 (72), 28–34. (in Ukraine).
    [Google Scholar]
  7. Shnyukov, S., Lazareva, I., Zinchenko, O., Khlon, E., Aleksieienko, A., Gavryliv, L.
    [2018] Geochemical model of precambrian granitoid magmatic evolution in the Korosten pluton (Ukrainian Shield): petrogenetic aspects and genesis of complex ore mineralization in metasomatic zones. Visnyk Taras Shevchenko National University of Kyiv. Geology, 2 (81), 12–22. DOI: 10.17721/moca.2018.141–147.
    https://doi.org/10.17721/moca.2018.141–147 [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902100
Loading
/content/papers/10.3997/2214-4609.201902100
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error