METHOD FOR PREDICTING HYDROCARBON DEPOSITS Russian patent published in 2022 - IPC G01V3/08 G01V11/00 

Abstract RU 2781752 C1

FIELD: geophysics.

SUBSTANCE: invention relates to the field of geophysics and can be used to predict hydrocarbon deposits. Essence: according to the results of field work, maps of magnetic and natural electric fields are obtained. Using a two-dimensional spline or frequency filtering, the regional and local components of the magnetic field and the natural electric field are isolated. Moreover, these regional and local components are distinguished so that the regional component includes the sources of the field located in the crystalline basement and the lower structural floors of the sedimentary cover, and the local component includes the sources of the field located in the upper part of the sedimentary cover at depths of 0-1000 m. Using maps of local magnetic fields and local natural electric fields, 2-d or 3-d digital petromagnetic and petro-polarization models are constructed that reflect changes in the magnetic and polarization properties of rocks in depth and laterally. The depth of the zone of a sharp change in the gradients of magnetization and polarizability, which determines the boundaries of the oxidative and reducing zones, is determined. A map of the depths of the boundaries of the oxidative and reducing zones is built, a visual analysis of the morphology of the map built is carried out. On the map built, abnormal zones are identified in the form of sharp rises or dives of the depths of the boundaries of the oxidative and reducing zones. Moreover, anomalous zones can be areas of active fluid dynamics, active splits, permeable and weakened zones, as well as areas of migration and diffusion of hydrocarbons from deposits. By comparing the depth map of the boundaries of the oxidative and reducing zones with a priori geological and geophysical data, the geological nature of the anomalous zones is determined.

EFFECT: increased objectivity of the forecast.

1 cl, 2 dwg

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RU 2 781 752 C1

Authors

Nurgaliev Danis Karlovich

Khasanov Damir Irekovich

Kuzina Diliara Mtygullovna

Ziganshin Eduard Rashidovich

Dates

2022-10-17Published

2021-12-23Filed