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Optimization of the complex of geophysical well investigations in argillite-like paleogene deposits by the example of oil fields of Eastern Ciscaucasia

Abstract

The paper presents the analysis findings of informativity of geophysical methods for solving the problem of searching collectors saturated with oil and gas in the Paleogene on the territory of Eastern Ciscaucasia. Despite the rather long history of studying clay collectors, their unconventionality has a signiicant impact on the reliability of the results of geophysical well investigations. Traditional geological evaluation of "state-like" collectors is difficult due to significant lateral variability of rock properties, as evidenced by the results of testing the collectors of Khadum suite. As a result of the analysis of field-geophysical data, characterizing the deposits of Khadum suite for five fields in Stavropol Territory, it was found that the productive intervals, according to sampling results, are characterized by the increased values of natural gamma activity, in the intervals, where the core was not sampled, it is preferable to use the results of drill cuttings analysis obtained by the nuclear magnetic resonance method. The reliability of the segregation of collectors in argillite-like reservoirs by using geophysical methods of well investigations is enhanced by the inclusion of the spectrometric and broadband acoustic logging methods into the complex.

About the Authors

Saipi Amiranovich Dudaev
Sevkavneftegazgeofizika-New Technologies
Russian Federation


Abdul-Gapur Guseinovich Kerimov
North-Caucasus Federal University
Russian Federation


Vladimir Alekseevich Gridin
North-Caucasus Federal University
Russian Federation


Boris Fyodorovich Galay
North-Caucasus Federal University
Russian Federation


References

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Review

For citations:


Dudaev S.A., Kerimov A.G., Gridin V.A., Galay B.F. Optimization of the complex of geophysical well investigations in argillite-like paleogene deposits by the example of oil fields of Eastern Ciscaucasia. Science. Innovations. Technologies. 2017;(3):133-140. (In Russ.)

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ISSN 2308-4758 (Print)