Data analysis for geological modeling of potassium and magnesium salts bearing strata in Verkhnekamskoye field

• Main Authors: Anatoliy V. Kataev, Sergey N. Kutovoy, Dmitry A. Meyster, Evgeniy M. Efimov, Anastasia P. Rachkova
• Format: Article
• Language: English
• Published: Perm National Research Polytechnic University 2019-12-01
• Series: Perm Journal of Petroleum and Mining Engineering
• Subjects: potassium salt field; mining-and-geological information system; field drawings processing; software module; digital profiles; data base management system
• Online Access: http://vestnik.pstu.ru/get/_res/fs/file2.pdf/9104/Data+analysis+for+geological+modeling+of+potassium+and+magnesium+salts+bearing+strata+in+Verkhnekamskoye+fieldfile2.pdf
• ISSN: 2224-9923; 2305-1140

The paper discusses the results of data analysis for geological modeling of Verkhnekamskoye field of potassium and magnesium salts at the mines of Solikamskaya area. The assumption is that development of a model will help calculate the expected volume of enclosing rocks during mine planning and define the vertical plane position of a combine as relative to the stratum top at crossing of folds. Strata strength characteristics obtained using the model must become the input data for calculation of development parameters for mine planning. Modelling results are used to estimate the expected risks in the process of mine development and in solving many other tasks. Initial information concerning deep wells and wells drilled from mine workings is insufficient to build a reliable model to help solve the aforementioned and many other tasks. The authors have developed software modules for the geological service, in order to fill the data base with vector images of stratum and layer boundaries for development working and stopes. Modules are based on the processing of field geological drawings using both scanning and digitizing technology. The developed software has “hardwired” unified catalogues of rocks and the adopted stratigraphic breakdown of the strata. Use of this information will significantly specify and detail the model in the bulk of deep commercial strata. It has been established that hypsometry variability of commercial strata is by an order of magnitude higher than the variability of their thickness. The considerable difference in fluctuations of thickness and elevation will influence the modelling method. Software modules developed for geologists are integrated into the corporate mining-and-geological information system of PJSC Uralkali, developed upon the initiative and with direct participation of the authors.