А case of forecasting ore objects in the territory of a complex geological structure Using geochemical data and automated systems of complex information processing
https://doi.org/10.25587/SVFU.2022.28.4.004
Abstract
The main purpose of prospecting ore deposits using geochemical methods is to obtain a general geochemical and metallogenic characteristics of the area under study and identify promising areas and potentially ore objects for detailed work. In addition to the traditional methods used in the process of geochemical prospecting, this can be achieved with the use of modern computer technologies and modeling methods using large amounts of data, including retrospective, over vast territories. In the presented work, the authors show the results of forecasting potentially ore-bearing objects on the territory of the Sutam block of the Aldan-Stanovy Shield, which is characterized by a complex geological structure, using geochemical data from different years and mathematical modeling methods.
The creation of models and their use makes it possible to apply experimental research methods to such objects, the direct study of which is difficult or even impossible. In geology, such objects are geochemical scattering fields of chemical elements (CE), geochemical anomalies and other formations. Therefore, modeling in geology is a special method and is currently used mostly only in scientific research. In this paper, the authors describe a case of the application of modeling methods to solve practical tasks of prospecting geochemistry at its various stages. The results clearly show the eff ectiveness of the use of mathematical modeling methods in geochemical prospecting. The study area was divided into areas with background contents of chemical elements and potentially ore-bearing areas. The latter, in turn, were divided into areas with abnormal concentrations of CE of varying degrees of contrast (low contrast, medium contrast and high contrast). Thus, geochemical zoning of the studied territory was performed. Each allocated site can be evaluated for the possibility of identifying ore objects within its limits. As a rule, on the constructed forecast-geochemical maps, identified before the start of the geochemical field modeling process, already identified ore objects are accompanied by high-contrast geochemical anomalies. Geochemical anomalies of medium and low contrast are often detected over ore bodies lying at a depth (sometimes at a considerable depth) due to the migration of CE.
About the Authors
N. A. PulyevRussian Federation
PULYEV Nikolay Anatolievich – Candidate of Geological and Mineralogical Sciences Associate Professor, Department of Applied Geology, Faculty of Geology and Survey
E. V. Ryzhkovich
Russian Federation
RYZHKOVICH Ekaterina Vladimirovna – Senior Lecturer, Department of Applied Geology, Faculty of Geology and Survey
References
1. Verhovskaya, L.A., Sorokina E.P. Matematicheskoe modelirovanie geohimicheskogo polya v poiskovyh celyah. – M.: Nedra, 1981. – 186 c.
2. Kazhdan, A.B., Messerman I.Z., Lavrova T.YU. Metodicheskie rekomendacii po sboru i komp’yuternoj obrabotke geologicheskoj, geohimicheskoj i geofi zicheskoj informacii s cel’yu vyyavleniya rudnyh zon, polej i mestorozhdenij pri mnogocelevom geohimicheskom kartirovanii razlichnyh masshtabov. – M.: ImGRE, 1995. – 192 c.
3. Kitae, N.A. Mnogomernyj analiz geohimicheskih polej – Novosibirsk: Nauka, Sib. Otdelenie, 1990. – 120 c.
4. Kogan, B.S., Ginzburg, A.N. i dr. Issledovanie prostranstvennyh struktur geohimicheskogo polya v poiskovyh celyah. // Sov. Geologiya. 1988.- № 6 – S. 11-17.
5. Pulyaev, N.A. Opyt sozdaniya modelej kart perspektivnyh geohimicheskih anomalij // Voprosy geologii YAkutii. – YAkutsk: YAGU, 2001. – S. 116-123.
Review
For citations:
Pulyev N.A., Ryzhkovich E.V. А case of forecasting ore objects in the territory of a complex geological structure Using geochemical data and automated systems of complex information processing. Vestnik of North-Eastern Federal University Series "Earth Sciences". 2022;(4):43-51. (In Russ.) https://doi.org/10.25587/SVFU.2022.28.4.004