Method for determining reservoir layer and fluid body

Abstract

The invention provides a method for determining a reservoir layer and a fluid body based on rock physical modeling and prestack inversion. The method comprises the following steps: carrying out rock physical modeling on all wells involving physical modeling in a work area, calculating a Poisson's ratio and longitudinal wave impedance data of each well, carrying out histogram analysis on reservoir layer fluid body attribute data of all wells and each component of a log interpretation result, determining a range of a reservoir layer fluid body attribute of each ingredient, carrying out earthquake inversion on the work area, obtaining longitudinal wave impedance and a Poisson's ratio data body, calculating a reservoir layer fluid body attribute data body, and determining the reservoir layer and the fluid body according to well data. According to the invention, by utilizing the reservoir layer fluid body attribute data body, reservoir layer and fluid body growth degrees can be indicated accurately, the reservoir layer and the fluid body are determined, and carrying out analyzing, browsing, processing and body engraving of a data body on the reservoir layer fluid body attribute data body is realized.

Description

technical field [0001] The invention relates to a geophysical exploration method, which is a method for determining reservoirs and fluids based on petrophysical modeling and pre-stack inversion. Background technique [0002] At present, the pre-stack compression and shear wave impedance simultaneous inversion technology is used in seismic exploration to determine reservoirs and fluids. Simultaneous pre-stack P-wave and S-wave impedance inversion is based on petrophysical modeling, using part of the angle stacked data processed by three high-levels, and through pre-stack inversion, P-wave impedance, S-wave impedance, P-wave velocity ratio, Poisson’s ratio, Lame coefficient (λ, μ) and other parameters, and then use multi-attribute comprehensive analysis to determine the reservoir and fluid. [0003] Petrophysical modeling is the key technology of pre-stack inversion. By selecting an appropriate model and fine logging interpretation, the non-reservoir and oil, gas, and water i...

AI Technical Summary

Problems solved by technology

Therefore, one elastic parameter cannot be used to accurately predict the reservoir and fluid

[0005] The intersection analysis of the two attributes can distinguish oily sandstone, water-bearing sandstone, and non-reservoir (mudstone and igneous rock), but it is difficult to identify reservoirs and fluids (especially fine quantification) when both data are used for analysis at the same time did it

One processing method is to find out all the data belonging to this category by circling the interested part on the intersection map, and find out all the data belonging to this category by means of cluster emission. The prediction result is a lithological result, and there is no concept of quantitative change. , which is not conducive to the research on the overall spatial change trend of the forecast target, and is not conducive to the browsing of data and further analysis, processing and display

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