A method and device for predicting reservoir characteristic parameters

Abstract

The application provides a method and device for predicting reservoir characteristic parameters. The method includes obtaining three types of seismic response characteristic parameter data of longitudinal wave impedance, transverse wave impedance and density of a position to be predicted in a reservoir, the three types of seismic response characteristic parameter data being obtained through seismic prestack inversion; inputting the three types of seismic response characteristic parameter data of the position to be predicted into a pre-established three-dimensional rock physical template, and predicting the reservoir characteristic parameters of the position to be predicted; and outputting the reservoir characteristic parameter data of the position to be predicted obtained through prediction. By utilization of embodiments of the application, through the established three-dimensional rock physical template, the pore flat degree, saturability and porosity of the reservoir can be accurately predicted, and structural characteristics of the reservoir can be reflected more comprehensively, thereby effectively improving the authenticity and accuracy of a structure analysis result of the reservoir.

Description

technical field [0001] The present application relates to the technical field of geophysical exploration, in particular to a method and device for predicting reservoir characteristic parameters. Background technique [0002] The prediction of reservoir characteristic parameters is the basis of reservoir prediction. Accurate and comprehensive reservoir characteristic parameter data is the guarantee for accurate reservoir prediction. Therefore, in the process of reservoir prediction, the prediction of reservoir characteristic parameters is an important link. [0003] In the prior art, the prediction of reservoir characteristic parameters mainly adopts crossplot technology. Using the crossplot technique, the porosity and saturation of the reservoir can be predicted more accurately, and then the structure and other characteristics of the reservoir can be predicted more accurately. However, for some tight reservoirs, due to the complex pore structure of the reservoir, there ma...

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Problems solved by technology

This leads to the inability to accurately and truly predict the real structure of the reservoir when using the obtained reservoir characteristic parameters for reservoir prediction

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