Shale reservoir compressibility evaluation method based on support vector machine technology

Abstract

The invention relates to a shale reservoir compressibility evaluation method based on a support vector machine technology. The method comprises the following steps: (1) mineral composition quantitative analysis and uniaxial compressive test are firstly carried out; (2) logging characteristic parameters for recognizing a crack are extracted; (3) maximum and minimum horizontal principal stress in different layers is calculated through a combined spring model, and a stress sensitivity degree is then calculated; (4) a compressibility evaluation model is built; and (5) discrete layer stratum compressibility evaluation sample space is then built, and a relationship between a compressibility evaluation result and different response logging curves is subjected to correlation analysis. The shale reservoir compressibility evaluation method based on the support vector machine technology has the beneficial effects that compressibility influencing factors are considered perfectly, the shale gas reservoir compressibility model is built from three aspects of a brittleness index, a natural crack development degree and the stress sensitivity, insufficient consideration on the factors by the existing evaluation method is remedied, and the comprehensive ability of the shale to form a complex crack network during volume cracking can be better reflected.

Description

technical field [0001] The invention relates to the field of unconventional oil and gas field development, in particular to a shale reservoir compressibility evaluation method based on support vector machine technology. Background technique [0002] With the rapid development and progress of society, it has become very urgent to find resources other than conventional coal, oil and natural gas resources. Shale gas has the characteristics of abundant reserves, wide distribution, and long production cycle. The great success of commercial exploitation of shale gas in the United States in the past decade has attracted widespread attention from other countries in the world. It is estimated that my country's shale gas resources are widely distributed in Sichuan, Ordos, Tarim, Junggar, Songliao and other basins, and the estimated mining reserves are as high as 36 trillion cubic meters. Therefore, efficient and scientific exploration and development of shale gas resources has become...

AI Technical Summary

Problems solved by technology

However, no scholars have applied it to the calculation of reservoir compressibility evaluation at present. Using the strong nonlinear learning ability of support vector machine, the relationship between well logging data and indoor petrophysical experiment data is deeply excavated, and the whole well interval can be calculated. The continuous section interpretation of pressure will establish a new method and open up a new approach for the optimization of reservoir oil and gas stimulation

Images