Известия Томского политехнического университета: Инжиниринг георесурсов (May 2019)
Paleoclimate of western Siberia and implementation of generative potential of oil source deposits
Abstract
The research material which was gathered shows the influence of a century course of temperatures on the Earth surface on thermal history of deep shipped oil source deposits, on implementation of their generative potential. The purpose of the research is to summarize the known data on Mesozoic and Cainozoic climate of south-east part of Western Siberia and to assess the influence of a century course of temperatures on terrestrial surface on geothermal modes, the extent of implementation of petrogenerative potential of Bazhenov suite. The "local" century course of temperatures of terrestrial surface for the southern climatic zone of Western Siberia is constructed on the basis of the analytical report of Late Quarternary paleoclimatic reconstruction by A.A. Sharbotyan (1974), the reconstructions of climatic conditions of the Mesozoic by N.A. Yasmanov (1985), the reconstructions of paleoclimates in Siberia in Cretaceous and Paleogene periods by A.V. Golbert (1977), history of climate of Western Siberia according to V.A. Zubakov (1990) and average annual temperatures in the Paleogene and Neogene of Western Siberia established by V.S. Volkova (2011). Paleoclimate influence on thermal history of maternal deposits was assessed based on verification of results of paleotemperature modeling of a sedimentary section in a deep well which has opened Bazhenov suite on the Pudinsky meso-uplift. It was ascertained that reconstruction of thermal history of the Bazhenov deposits without taking into account paleoclimate won't be coordinated with the data of vitrinite reflective ability and oil-and-gas content of a section. Using the terrestrial surface when reconstructing the "local" century course of temperatures specifies significantly a density indicator of the expected oil resources. The "local" century course is recommended to be considered when assessing the hydrocarbon resources by volume and genetic method in Tomsk, Novosibirsk and Omsk areas.
