Patterns of filling hydrocarbon traps for local objects of the visean age of the bereznikovskoye paleoplato
UDC: 550.8.012+622.276.1/.4(470.5)
DOI: 10.33285/2413-5011-2023-5(377)-14-24
Authors:
NIKITINA MARINA V.1,
MELKISHEV OLEG A.
2
1 LUKOIL-Engineering Limited PermNIPIneft Branch Office in Perm, Perm, Russia
2 Perm National Research Polytechnic University, Perm, Russia
Keywords: hydrocarbon traps filling coefficient, Bereznikovskoye Paleoplatо, correlation analysis, multiple regression analysis, geographically weighted regression, regression model of the forecast, regional characteristics, local characteristics
Annotation:
The objects of the scientific research are local hydrocarbon traps on the territory of the Bereznikovskoye Paleoplato of the Perm Region. The relevance of the research is caused by the need to replenish the mineral resource base and compensate for the levels of hydrocarbon production. The aim of the study is to reveal the features and patterns of filling the Visean age traps with hydrocarbons to increase the reliability of the oil and gas potential forecast and the assessment of the resource base.
The article analyzes the distributions of traps filling coefficients on the territory of the Bereznikovskoye Paleoplato, discusses the developed method for predicting traps filling coefficients in the context of potentially productive layers of Tl, Bb using correlation and multiple regression analyses as well as geographically weighted regression. Continuous (regional) characteristics and discrete (local) characteristics of prospective objects, which reflect the structural features of hydrocarbon deposits formation within the traps, were used to develop models for predicting filling coefficients.
On the basis of the developed methodology, the filling coefficients and oil-bearing contours of the Tl, Bb reservoir traps were forecasted and the resources of promising objects at the research site were reassessed.
Bibliography:
1. Zhukov Yu.A., Kirpileva N.F., Khokhryakova M.I. Zakonomernosti razmeshcheniya zalezhey nefti i gaza v produktivnykh kompleksakh paleozoya Permskoy oblasti. – Perm’: OOO "PermNIPIneft’", 1998. – 134 s.
2. Mikhaylov D.G., Makalovskiy V.V., Yakovlev Yu.A. Obobshchenie rezul’tatov GRR na territorii Permskogo kraya s tsel’yu utochneniya geologicheskogo, tektonicheskogo stroeniya, syr’evoy bazy i neftegazogeologicheskogo rayonirovaniya. – Perm’: Filial OOO "LUKOYL-Inzhiniring" "PermNIPIneft’" v g. Permi, 2011. – S. 158–159.
3. Mikhaylov D.G., Vaksman S.E. Analiz geologicheskogo stroeniya v bortovykh zonakh KKSP i sopredel’nykh rayonov paleoshel’fa. – Perm’: Filial OOO "LUKOYL-Inzhiniring" "PermNIPIneft’" v g. Permi, 2008. – S. 52–54.
4. Fotheringham A.S., Brunsdon C., Charlton M.E. Geographically Weighted Regression. – Chichester: Wiley, 2002. – 269 p.
5. Paez A., Farber S., Wheeler D., A simulation-based study of geographically weighted regression as a method for investigating spatially varying relationships // Environment and Planning. – 2011. – Vol. 43(12). – Pp. 2992–3010. – DOI: 10.1068/а44111
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