Prediction method and device for brittleness of reservoir rock

Abstract

The invention discloses a prediction method and device for brittleness of reservoir rock. The prediction method comprises the following steps: firstly, obtaining dynamic and static elastic parameters of core samples of the reservoir to be predicted and the mechanical parameters of the rocks through a static mechanical test, an ultrasonic test and a core bursting test, calculating the dynamic elastic parameters of the reservoir to be predicted according to prestack seismic inversion results, and further calculating the static elastic parameters of the reservoir to be predicted and the mechanical parameters of the rocks; then, building the relationship among the dynamic and static elastic parameters and the mechanical parameters of the rocks through a linear fitting method, further calculating the comprehensive brittleness indexes of the rocks, and predicting the brittleness of rock of the reservoir to be predicted through the comprehensive brittleness indexes. By adopting the prediction method and the device provided by the invention, rock brittleness of the tight reservoir can be described relatively truly.

Description

Technical field [0001] This application relates to the field of geophysical prospecting, in particular to a method and device for predicting the brittleness of reservoir rocks. Background technique [0002] In recent years, the research on shale gas and tight oil and gas has become a hot spot in China. In the development process of tight reservoirs such as shale gas and tight oil, hydraulic fracturing technology has become a major technical means to improve oil and gas recovery. The brittleness index is an important parameter to measure whether the rock is easy to fract. The determination of the fracturing construction location and the selection of construction parameters are very important. [0003] The current methods for predicting rock brittleness are roughly divided into three categories: according to the proportion of brittle minerals, according to elastic parameters, and according to rock mechanics tests. [0004] According to the proportion of brittle minerals, there are ma...

AI Technical Summary

Problems solved by technology

However, because rock mechanics tests can only be carried out on a small number of cores, the sample data is too small to truly describe the brittleness of tight reservoirs, and thus cannot be directly used to guide hydraulic fracturing operations

[0007] In summary, there is currently no prediction method that can describe the rock brittleness of tight reservoirs more realistically to guide hydraulic fracturing.

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