Multi-parameter permeability prediction method for tight sandstone reservoir

Abstract

The invention relates to the field of precise prediction and evaluation of tight and heterogeneous sandstone reservoir and discloses a multi-parameter permeability prediction method for tight sandstone reservoir. The method comprises steps as follows: (1), determining geological main controlling factors of permeability of the tight sandstone reservoir, wherein the geological main controlling factors comprise porosity, granularity and degree of fracture development; (2), establishing a logging prediction model of porosity and granularity and an earthquake prediction model; (3), determining geological main controlling factors of the degree of fracture development; (4), establishing a fracture development index model according to the geological main controlling factors obtained in the step (3); (5), establishing a comprehensive prediction model of multi-parameter permeability under earthquake-geological constraints. According to the method, accurate prediction of single well and plane ofpermeability of the tight sandstone reservoir is realized.

Description

technical field [0001] The invention relates to the field of precise prediction and evaluation of tight heterogeneous sandstone reservoirs, in particular to the evaluation of reservoirs with complex pore structures and poor pore-permeability correlation. Specifically, it relates to a multi-parameter permeability prediction method for tight sandstone reservoirs. Background technique [0002] In the usual classification and evaluation of reservoirs, porosity is generally used as the main evaluation index to determine effective reservoirs and classify and evaluate the reservoirs. In areas where the pore structure is relatively simple and the correlation between porosity and permeability is good, the evaluation results have a good match with the actual production conditions. However, for reservoirs with complex pore structure and poor porosity-permeability correlation, the evaluation results based on porosity are usually quite different from the actual production conditions. T...

AI Technical Summary

Problems solved by technology

There are three main problems in these methods: 1) there is no analysis of the main geological factors controlling the permeability, and it is difficult to establish a reliable permeability prediction model when there is no obvious correlation between the petrophysical parameters and the logging curve; Fractures can significantly improve the permeability of tight sandstone reservoirs

However, since micro-f...

Images