Prediction of pathways and places of accumulation for hydrocarbons of the Chernigiv segment of the Dnieper-Donets aulacogene in relation to magnetic heterogeneity
Journal Title: Геофизический журнал - Year 2018, Vol 40, Issue 2
Abstract
A complex analysis of the magnetic inhomogeneity of the entire crustal section is performed in conjunction with the available geological and geophysical data on the prediction of migration paths of deep hydrocarbons and their accumulation in the upper part of the crystalline basement and sedimentary cover. The results of laboratory studies of the magnetic susceptibility and density of the sedimentary cover and the crystalline basement rocks from 8 wells drilled in the northwestern part of the DDA, within the boundaries of which the Chernihiv segment is located, are presented to establish the connection with the structure-formation complexes of the sedimentary cover, as well as with the hydrocarbons probable routes of passage and places of accumulation. Intervals with decompressed rocks having increased values of magnetic susceptibility in five wells were identified. These intervals can be hydrocarbons passing markers, as partly evidenced by the appearance of fluids on the squares adjacent to Borznyanskaya, Stroyevskaya and Zorkovskaya wells. It is confirmed that the isolated zones within the boundaries of the sedimentary cover are associated with magnetic sources in the crystalline basement, as well as with deep margin faults of the DDA and tectonic suture Kherson-Smolensk, which makes it possible to consider them as promising on hydrocarbons, and the faults themselves as supply channels. The established regularities of changes in the magnetic susceptibility and density, as well as the results of experimental studies of genetic connection of increased values of magnetization with migration paths and accumulation of hydrocarbons in combination with other geological and geophysical data, are proposed for use as local forecasting features for oil and gas content which complement regional forecasting criteria.
Authors and Affiliations
M. I. Orlyuk, V. V. Drukarenko
Keywords
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- EP ID EP282075
- DOI 10.24028/gzh.0203-3100.v40i2.2018.128935
- Views 47
- Downloads 0
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